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Problem Solving Resources

Case studies, problem solving related topics.

What is Problem Solving?.

Quality Glossary Definition: Problem solving

Problem solving is the act of defining a problem; determining the cause of the problem; identifying, prioritizing, and selecting alternatives for a solution; and implementing a solution.

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The Problem-Solving Process

In order to effectively manage and run a successful organization, leadership must guide their employees and develop problem-solving techniques. Finding a suitable solution for issues can be accomplished by following the basic four-step problem-solving process and methodology outlined below.

1. Define the problem

Diagnose the situation so that your focus is on the problem, not just its symptoms. Helpful problem-solving techniques include using flowcharts to identify the expected steps of a process and cause-and-effect diagrams to define and analyze root causes .

The sections below help explain key problem-solving steps. These steps support the involvement of interested parties, the use of factual information, comparison of expectations to reality, and a focus on root causes of a problem. You should begin by:

2. Generate alternative solutions

Postpone the selection of one solution until several problem-solving alternatives have been proposed. Considering multiple alternatives can significantly enhance the value of your ideal solution. Once you have decided on the "what should be" model, this target standard becomes the basis for developing a road map for investigating alternatives. Brainstorming and team problem-solving techniques are both useful tools in this stage of problem solving.

Many alternative solutions to the problem should be generated before final evaluation. A common mistake in problem solving is that alternatives are evaluated as they are proposed, so the first acceptable solution is chosen, even if it’s not the best fit. If we focus on trying to get the results we want, we miss the potential for learning something new that will allow for real improvement in the problem-solving process.

3. Evaluate and select an alternative

Skilled problem solvers use a series of considerations when selecting the best alternative. They consider the extent to which:

4. Implement and follow up on the solution

Leaders may be called upon to direct others to implement the solution, "sell" the solution, or facilitate the implementation with the help of others. Involving others in the implementation is an effective way to gain buy-in and support and minimize resistance to subsequent changes.

Regardless of how the solution is rolled out, feedback channels should be built into the implementation. This allows for continuous monitoring and testing of actual events against expectations. Problem solving, and the techniques used to gain clarity, are most effective if the solution remains in place and is updated to respond to future changes.

You can also search articles , case studies , and publications  for problem solving resources.

Innovative Business Management Using TRIZ

Introduction To 8D Problem Solving: Including Practical Applications and Examples

The Quality Toolbox

Root Cause Analysis: The Core of Problem Solving and Corrective Action

One Good Idea: Some Sage Advice ( Quality Progress ) The person with the problem just wants it to go away quickly, and the problem-solvers also want to resolve it in as little time as possible because they have other responsibilities. Whatever the urgency, effective problem-solvers have the self-discipline to develop a complete description of the problem.

Diagnostic Quality Problem Solving: A Conceptual Framework And Six Strategies  ( Quality Management Journal ) This paper contributes a conceptual framework for the generic process of diagnosis in quality problem solving by identifying its activities and how they are related.

Weathering The Storm ( Quality Progress ) Even in the most contentious circumstances, this approach describes how to sustain customer-supplier relationships during high-stakes problem solving situations to actually enhance customer-supplier relationships.

The Right Questions ( Quality Progress ) All problem solving begins with a problem description. Make the most of problem solving by asking effective questions.

Solving the Problem ( Quality Progress ) Brush up on your problem-solving skills and address the primary issues with these seven methods.

Refreshing Louisville Metro’s Problem-Solving System  ( Journal for Quality and Participation ) Organization-wide transformation can be tricky, especially when it comes to sustaining any progress made over time. In Louisville Metro, a government organization based in Kentucky, many strategies were used to enact and sustain meaningful transformation.

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Quality 101

Making the Connection In this exclusive QP webcast, Jack ReVelle, ASQ Fellow and author, shares how quality tools can be combined to create a powerful problem-solving force.

Adapted from The Executive Guide to Improvement and Change , ASQ Quality Press.

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extensive problem solving business definition

What Is Problem Solving in Business?

Problem-solving in business is defined as implementing processes that reduce or remove obstacles that are preventing you or others from accomplishing operational and strategic business goals.

In business, a problem is a situation that creates a gap between the desired and actual outcomes. In addition, a true problem typically does not have an immediately obvious resolution.

Business problem-solving works best when it is approached through a consistent system in which individuals:

Why Problem Solving Is Important in Business

Understanding the importance of problem-solving skills in the workplace will help you develop as a leader. Problem-solving skills will help you resolve critical issues and conflicts that you come across. Problem-solving is a valued skill in the workplace because it allows you to:

How to Solve Business Problems Effectively

There are many different problem-solving skills, but most can be broken into general steps. Here is a four-step method for business problem solving:

1) Identify the Details of the Problem: Gather enough information to accurately define the problem. This can include data on procedures being used, employee actions, relevant workplace rules, and so on. Write down the specific outcome that is needed, but don’t assume what the solution should be.

2) Creatively Brainstorm Solutions: Alone or with a team, state every solution you can think of. You’ll often need to write them down. To get more solutions, brainstorm with the employees who have the greatest knowledge of the issue.

3) Evaluate Solutions and Make a Decision: Compare and contrast alternative solutions based on the feasibility of each one, including the resources needed to implement it and the return on investment of each one. Finally, make a firm decision on one solution that clearly addresses the root cause of the problem.

4) Take Action: Write up a detailed plan for implementing the solution, get the necessary approvals, and put it into action.

What Are Problem-Solving Skills?

Problem-solving skills are specific procedures that can be used to complete one or more of the four general steps of problem-solving (discussed above). Here are five important examples:

Using Emotional Intelligence: You’ll solve problems more calmly when you learn to recognize your own emotional patterns and to empathize with and guide the emotions of others. Avoid knee-jerk responses and making assumptions.

Researching Problems: An effective solution requires an accurate description of the problem. Define simple problems using quick research methods such as asking, “What? Where? When? and How much?.” Difficult problems require more in-depth research, such as data exploration, surveys, and interviews.

Creative Brainstorming: When brainstorming with a group, encourage idea creation by listening attentively to everyone, and recognizing everyone’s unique contributions.

Logical Reasoning: Develop standard logical steps for analyzing possible solutions to problems. Study and apply ideas about logical fallacies, deductive reasoning, and other areas of analytical thought.

Decisiveness: Use an agreed-upon system for choosing a solution, which can include assigning pros and cons to solutions, identifying mandatory results, getting feedback about solutions, choosing the decision-maker(s), and finishing or repeating the process.

How to Improve Problem-Solving Skills

Learning how to solve business problems takes time and effort. Though some people appear to have been born with superior problem-solving skills, great problem solvers usually have practiced and refined their abilities. You can develop high-level skills for solving problems too, through the following methods:

Ask and Listen: Don’t expect to solve every problem alone. Ask for advice, and listen to it carefully.

Practice Curiosity: Any time you’re involved in solving a problem, practice researching and defining the problem just a little longer than you would naturally.

Break Down Problems: Whenever possible, break large problems into their smallest units. Then, search for solutions to one unit at a time.

Don’t Label Yourself Negatively: Don’t allow a problem to mean something negative about you personally. Separate yourself from it. Look at it objectively and be part of the solution.

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Learn Creative Problem Solving Techniques to Stimulate Innovation in Your Organization

Smartsheet Contributor Kate Eby

October 20, 2017 (updated August 27, 2021)

In today’s competitive business landscape, organizations need processes in place to make strong, well-informed, and innovative decisions. Problem solving - in particular creative problem solving (CPS) - is a key skill in learning how to accurately identify problems and their causes, generate potential solutions, and evaluate all the possibilities to arrive at a strong corrective course of action. Every team in any organization, regardless of department or industry, needs to be effective, creative, and quick when solving problems. 

In this article, we’ll discuss traditional and creative problem solving, and define the steps, best practices, and common barriers associated. After that, we’ll provide helpful methods and tools to identify the cause(s) of problematic situations, so you can get to the root of the issue and start to generate solutions. Then, we offer nearly 20 creative problem solving techniques to implement at your organization, or even in your personal life. Along the way, experts weigh in on the importance of problem solving, and offer tips and tricks. 

What Is Problem Solving and Decision Making?

Problem solving is the process of working through every aspect of an issue or challenge to reach a solution. Decision making is choosing one of multiple proposed solutions  — therefore, this process also includes defining and evaluating all potential options. Decision making is often one step of the problem solving process, but the two concepts are distinct. 

Collective problem solving is problem solving that includes many different parties and bridges the knowledge of different groups. Collective problem solving is common in business problem solving because workplace decisions typically affect more than one person. 

Problem solving, especially in business, is a complicated science. Not only are business conflicts multifaceted, but they often involve different personalities, levels of authority, and group dynamics. In recent years, however, there has been a rise in psychology-driven problem solving techniques, especially for the workplace. In fact, the psychology of how people solve problems is now studied formally in academic disciplines such as psychology and cognitive science.

Joe Carella

Joe Carella is the Assistant Dean for Executive Education at the University of Arizona . Joe has over 20 years of experience in helping executives and corporations in managing change and developing successful business strategies. His doctoral research and executive education engagements have seen him focus on corporate strategy, decision making and business performance with a variety of corporate clients including Hershey’s, Chevron, Fender Musical Instruments Corporation, Intel, DP World, Essilor, BBVA Compass Bank.

He explains some of the basic psychology behind problem solving: “When our brain is engaged in the process of solving problems, it is engaged in a series of steps where it processes and organizes the information it receives while developing new knowledge it uses in future steps. Creativity is embedded in this process by incorporating diverse inputs and/or new ways of organizing the information received.”

Laura MacLeod

Laura MacLeod is a Professor of Social Group Work at City University of New York, and the creator of From The Inside Out Project® , a program that coaches managers in team leadership for a variety of workplaces. She has a background in social work and over two decades of experience as a union worker, and currently leads talks on conflict resolution, problem solving, and listening skills at conferences across the country. 

MacLeod thinks of problem solving as an integral practice of successful organizations. “Problem solving is a collaborative process — all voices are heard and connected, and resolution is reached by the group,” she says. “Problems and conflicts occur in all groups and teams in the workplace, but if leaders involve everyone in working through, they will foster cohesion, engagement, and buy in. Everybody wins.”

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extensive problem solving business definition

What Is the First Step in Solving a Problem?

Although problem solving techniques vary procedurally, experts agree that the first step in solving a problem is defining the problem. Without a clear articulation of the problem at stake, it is impossible to analyze all the key factors and actors, generate possible solutions, and then evaluate them to pick the best option. 

Elliott Jaffa

Dr. Elliott Jaffa is a behavioral and management psychologist with over 25 years of problem solving training and management experience. “Start with defining the problem you want to solve,” he says, “And then define where you want to be, what you want to come away with.” He emphasizes these are the first steps in creating an actionable, clear solution. 

Bryan Mattimore

Bryan Mattimore is Co-Founder of Growth Engine, an 18-year old innovation agency based in Norwalk, CT. Bryan has facilitated over 1,000 ideation sessions and managed over 200 successful innovation projects leading to over $3 billion in new sales. His newest book is 21 Days to a Big Idea . When asked about the first critical component to successful problem solving, Mattimore says, “Defining the challenge correctly, or ‘solving the right problem’ … The three creative techniques we use to help our clients ‘identify the right problem to be solved’ are questioning assumptions, 20 questions, and problem redefinition. A good example of this was a new product challenge from a client to help them ‘invent a new iron. We got them to redefine the challenge as first: a) inventing new anti-wrinkle devices, and then b) inventing new garment care devices.”

What Are Problem Solving Skills?

To understand the necessary skills in problem solving, you should first understand the types of thinking often associated with strong decision making. Most problem solving techniques look for a balance between the following binaries:

The following basic methods are fundamental problem solving concepts. Implement them to help balance the above thinking models.

However, many of the most critical problem solving skills are “soft” skills: personal and interpersonal understanding, intuitiveness, and strong listening. 

Mattimore expands on this idea: “The seven key skills to be an effective creative problem solver that I detail in my book Idea Stormers: How to Lead and Inspire Creative Breakthroughs are: 1) curiosity 2) openness 3) a willingness to embrace ambiguity 4) the ability to identify and transfer principles across categories and disciplines 5) the desire to search for integrity in ideas, 6) the ability to trust and exercise “knowingness” and 7) the ability to envision new worlds (think Dr. Seuss, Star Wars, Hunger Games, Harry Potter, etc.).”

“As an individual contributor to problem solving it is important to exercise our curiosity, questioning, and visioning abilities,” advises Carella. “As a facilitator it is essential to allow for diverse ideas to emerge, be able to synthesize and ‘translate’ other people’s thinking, and build an extensive network of available resources.”

MacLeod says the following interpersonal skills are necessary to effectively facilitate group problem solving: “The abilities to invite participation (hear all voices, encourage silent members), not take sides, manage dynamics between the monopolizer, the scapegoat, and the bully, and deal with conflict (not avoiding it or shutting down).” 

Furthermore, Jaffa explains that the skills of a strong problem solver aren’t measurable. The best way to become a creative problem solver, he says, is to do regular creative exercises that keep you sharp and force you to think outside the box. Carella echoes this sentiment: “Neuroscience tells us that creativity comes from creating novel neural paths. Allow a few minutes each day to exercise your brain with novel techniques and brain ‘tricks’ – read something new, drive to work via a different route, count backwards, smell a new fragrance, etc.”

What Is Creative Problem Solving? History, Evolution, and Core Principles

Creative problem solving (CPS) is a method of problem solving in which you approach a problem or challenge in an imaginative, innovative way. The goal of CPS is to come up with innovative solutions, make a decision, and take action quickly. Sidney Parnes and Alex Osborn are credited with developing the creative problem solving process in the 1950s. The concept was further studied and developed at SUNY Buffalo State and the Creative Education Foundation. 

The core principles of CPS include the following:

According to Carella, “Creative problem solving is the mental process used for generating innovative and imaginative ideas as a solution to a problem or a challenge. Creative problem solving techniques can be pursued by individuals or groups.”

When asked to define CPS, Jaffa explains that it is, by nature, difficult to create boundaries for. “Creative problem solving is not cut and dry,” he says, “If you ask 100 different people the definition of creative problem solving, you’ll get 100 different responses - it’s a non-entity.”

Business presents a unique need for creative problem solving. Especially in today’s competitive landscape, organizations need to iterate quickly, innovate with intention, and constantly be at the cutting-edge of creativity and new ideas to succeed. Developing CPS skills among your workforce not only enables you to make faster, stronger in-the-moment decisions, but also inspires a culture of collaborative work and knowledge sharing. When people work together to generate multiple novel ideas and evaluate solutions, they are also more likely to arrive at an effective decision, which will improve business processes and reduce waste over time. In fact, CPS is so important that some companies now list creative problem solving skills as a job criteria.

MacLeod reiterates the vitality of creative problem solving in the workplace. “Problem solving is crucial for all groups and teams,” she says. “Leaders need to know how to guide the process, hear all voices and involve all members - it’s not easy.”

“This mental process [of CPS] is especially helpful in work environments where individuals and teams continuously struggle with new problems and challenges posed by their continuously changing environment,” adds Carella. 

Problem Solving Best Practices

By nature, creative problem solving does not have a clear-cut set of do’s and don’ts. Rather, creating a culture of strong creative problem solvers requires flexibility, adaptation, and interpersonal skills. However, there are a several best practices that you should incorporate:

MacLeod offers the following additional advice, “Always get the facts. Don’t jump too quickly to a solution – working through [problems] takes time and patience.”

Mattimore also stresses that how you introduce creative problem solving is important. “Do not start by introducing a new company-wide innovation process,” he says. “Instead, encourage smaller teams to pursue specific creative projects, and then build a process from the ground up by emulating these smaller teams’ successful approaches. We say: ‘You don’t innovate by changing the culture, you change the culture by innovating.’”

Barriers to Effective Problem Solving

Learning how to effectively solve problems is difficult and takes time and continual adaptation. There are several common barriers to successful CPS, including:

According to Jaffa, the primary barrier of effective problem solving is rigidity. “The most common things people say are, ‘We’ve never done it before,’ or ‘We’ve always done it this way.’” While these feelings are natural, Jaffa explains that this rigid thinking actually precludes teams from identifying creative, inventive solutions that result in the greatest benefit.

“The biggest barrier to creative problem solving is a lack of awareness – and commitment to – training employees in state-of-the-art creative problem-solving techniques,” Mattimore explains. “We teach our clients how to use ideation techniques (as many as two-dozen different creative thinking techniques) to help them generate more and better ideas. Ideation techniques use specific and customized stimuli, or ‘thought triggers’ to inspire new thinking and new ideas.” 

MacLeod adds that ineffective or rushed leadership is another common culprit. “We're always in a rush to fix quickly,” she says. “Sometimes leaders just solve problems themselves, making unilateral decisions to save time. But the investment is well worth it — leaders will have less on their plates if they can teach and eventually trust the team to resolve. Teams feel empowered and engagement and investment increases.”

Strategies for Problem Cause Identification

As discussed, most experts agree that the first and most crucial step in problem solving is defining the problem. Once you’ve done this, however, it may not be appropriate to move straight to the solution phase. Rather, it is often helpful to identify the cause(s) of the problem: This will better inform your solution planning and execution, and help ensure that you don’t fall victim to the same challenges in the future. 

Below are some of the most common strategies for identifying the cause of a problem:

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Problem Solving Techniques and Strategies

In this section, we’ll explain several traditional and creative problem solving methods that you can use to identify challenges, create actionable goals, and resolve problems as they arise. Although there is often procedural and objective crossover among techniques, they are grouped by theme so you can identify which method works best for your organization.

Divergent Creative Problem Solving Techniques

Brainstorming: One of the most common methods of divergent thinking, brainstorming works best in an open group setting where everyone is encouraged to share their creative ideas. The goal is to generate as many ideas as possible – you analyze, critique, and evaluate the ideas only after the brainstorming session is complete. To learn more specific brainstorming techniques, read this article . 

Mind Mapping: This is a visual thinking tool where you graphically depict concepts and their relation to one another. You can use mind mapping to structure the information you have, analyze and synthesize it, and generate solutions and new ideas from there. The goal of a mind map is to simplify complicated problems so you can more clearly identify solutions.

Appreciative Inquiry (AI): The basic assumption of AI is that “an organization is a mystery to be embraced.” Using this principle, AI takes a positive, inquisitive approach to identifying the problem, analyzing the causes, and presenting possible solutions. The five principles of AI emphasize dialogue, deliberate language and outlook, and social bonding. 

Lateral Thinking: This is an indirect problem solving approach centered on the momentum of idea generation. As opposed to critical thinking, where people value ideas based on their truth and the absence of errors, lateral thinking values the “movement value” of new ideas: This means that you reward team members for producing a large volume of new ideas rapidly. With this approach, you’ll generate many new ideas before approving or rejecting any.

Problem Solving Techniques to Change Perspective

Constructive Controversy: This is a structured approach to group decision making to preserve critical thinking and disagreement while maintaining order. After defining the problem and presenting multiple courses of action, the group divides into small advocacy teams who research, analyze, and refute a particular option. Once each advocacy team has presented its best-case scenario, the group has a discussion (advocacy teams still defend their presented idea). Arguing and playing devil’s advocate is encouraged to reach an understanding of the pros and cons of each option. Next, advocacy teams abandon their cause and evaluate the options openly until they reach a consensus. All team members formally commit to the decision, regardless of whether they advocated for it at the beginning. You can learn more about the goals and steps in constructive controversy here . 

Carella is a fan of this approach. “Create constructive controversy by having two teams argue the pros and cons of a certain idea,” he says. “It forces unconscious biases to surface and gives space for new ideas to formulate.”

Abstraction: In this method, you apply the problem to a fictional model of the current situation. Mapping an issue to an abstract situation can shed extraneous or irrelevant factors, and reveal places where you are overlooking obvious solutions or becoming bogged down by circumstances. 

Analogical Thinking: Also called analogical reasoning , this method relies on an analogy: using information from one problem to solve another problem (these separate problems are called domains). It can be difficult for teams to create analogies among unrelated problems, but it is a strong technique to help you identify repeated issues, zoom out and change perspective, and prevent the problems from occurring in the future. .

CATWOE: This framework ensures that you evaluate the perspectives of those whom your decision will impact. The factors and questions to consider include (which combine to make the acronym CATWOE):

Complex Problem Solving

Soft Systems Methodology (SSM): For extremely complex problems, SSM can help you identify how factors interact, and determine the best course of action. SSM was borne out of organizational process modeling and general systems theory, which hold that everything is part of a greater, interconnected system: This idea works well for “hard” problems (where logic and a single correct answer are prioritized), and less so for “soft” problems (i.e., human problems where factors such as personality, emotions, and hierarchy come into play). Therefore, SSM defines a seven step process for problem solving: 

SSM can be used for any complex soft problem, and is also a useful tool in change management . 

Failure Mode and Effects Analysis (FMEA): This method helps teams anticipate potential problems and take steps to mitigate them. Use FMEA when you are designing (redesigning) a complex function, process, product, or service. First, identify the failure modes, which are the possible ways that a project could fail. Then, perform an effects analysis to understand the consequences of each of the potential downfalls. This exercise is useful for internalizing the severity of each potential failure and its effects so you can make adjustments or safeties in your plan. 

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Problem Solving Based on Data or Logic (Heuristic Methods)

TRIZ: A Russian-developed problem solving technique that values logic, analysis, and forecasting over intuition or soft reasoning. TRIZ (translated to “theory of inventive problem solving” or TIPS in English) is a systematic approach to defining and identifying an inventive solution to difficult problems. The method offers several strategies for arriving at an inventive solution, including a contradictions matrix to assess trade-offs among solutions, a Su-Field analysis which uses formulas to describe a system by its structure, and ARIZ (algorithm of inventive problem solving) which uses algorithms to find inventive solutions. 

Inductive Reasoning: A logical method that uses evidence to conclude that a certain answer is probable (this is opposed to deductive reasoning, where the answer is assumed to be true). Inductive reasoning uses a limited number of observations to make useful, logical conclusions (for example, the Scientific Method is an extreme example of inductive reasoning). However, this method doesn’t always map well to human problems in the workplace — in these instances, managers should employ intuitive inductive reasoning , which allows for more automatic, implicit conclusions so that work can progress. This, of course, retains the principle that these intuitive conclusions are not necessarily the one and only correct answer. 

Process-Oriented Problem Solving Methods

Plan Do Check Act (PDCA): This is an iterative management technique used to ensure continual improvement of products or processes. First, teams plan (establish objectives to meet desired end results), then do (implement the plan, new processes, or produce the output), then check (compare expected with actual results), and finally act (define how the organization will act in the future, based on the performance and knowledge gained in the previous three steps). 

Means-End Analysis (MEA): The MEA strategy is to reduce the difference between the current (problematic) state and the goal state. To do so, teams compile information on the multiple factors that contribute to the disparity between the current and goal states. Then they try to change or eliminate the factors one by one, beginning with the factor responsible for the greatest difference in current and goal state. By systematically tackling the multiple factors that cause disparity between the problem and desired outcome, teams can better focus energy and control each step of the process. 

Hurson’s Productive Thinking Model: This technique was developed by Tim Hurson, and is detailed in his 2007 book Think Better: An Innovator’s Guide to Productive Thinking . The model outlines six steps that are meant to give structure while maintaining creativity and critical thinking: 1) Ask “What is going on?” 2) Ask “What is success?” 3) Ask “What is the question?” 4) Generate answers 5) Forge the solution 6) Align resources. 

Control Influence Accept (CIA): The basic premise of CIA is that how you respond to problems determines how successful you will be in overcoming them. Therefore, this model is both a problem solving technique and stress-management tool that ensures you aren’t responding to problems in a reactive and unproductive way. The steps in CIA include:

GROW Model: This is a straightforward problem solving method for goal setting that clearly defines your goals and current situation, and then asks you to define the potential solutions and be realistic about your chosen course of action. The steps break down as follows:

OODA Loop: This acronym stands for observe, orient, decide, and act. This approach is a decision-making cycle that values agility and flexibility over raw human force. It is framed as a loop because of the understanding that any team will continually encounter problems or opponents to success and have to overcome them.

There are also many un-named creative problem solving techniques that follow a sequenced series of steps. While the exact steps vary slightly, they all follow a similar trajectory and aim to accomplish similar goals of problem, cause, and goal identification, idea generation, and active solution implementation.

MacLeod offers her own problem solving procedure, which echoes the above steps:

“1. Recognize the Problem: State what you see. Sometimes the problem is covert. 2. Identify: Get the facts — What exactly happened? What is the issue? 3. and 4. Explore and Connect: Dig deeper and encourage group members to relate their similar experiences. Now you're getting more into the feelings and background [of the situation], not just the facts.  5. Possible Solutions: Consider and brainstorm ideas for resolution. 6. Implement: Choose a solution and try it out — this could be role play and/or a discussion of how the solution would be put in place.  7. Evaluate: Revisit to see if the solution was successful or not.”

Many of these problem solving techniques can be used in concert with one another, or multiple can be appropriate for any given problem. It’s less about facilitating a perfect CPS session, and more about encouraging team members to continually think outside the box and push beyond personal boundaries that inhibit their innovative thinking. So, try out several methods, find those that resonate best with your team, and continue adopting new techniques and adapting your processes along the way. 

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Extensive Problem Solving

In the choice process, extensive problem solving includes those consumer decisions requiring considerable cognitive activity, thought, and behavioral effort as compared to routinized choice behavior and habitual decision making . [1]

This type of decision making is usually associated with high-involvement purchases and when the customer has limited experience with the product category. [2]

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Extensive problem solving definition.

Extensive Problem Solving Definition . Also called extensive decision making. Noun [ u ] uk us.

Extensive problem solving

Extensive problem solving when consumers for what problem would you willing to pay for, if solved now. Extensive problem solving definition examples; Extensive problem solving definition in business

Extensive Problem Solving Meaning And Definition:

Extensive problem solving ( eps ) is when consumers buy a new and unfamiliar product , they need more time to choose and to gather information. Also called extensive decision making. The process of a customer trying to get all the information they need in order to be able to make a choice between different brands of a product that they want to buy:

Extensive Problem Solving Definition Examples;

Also called extensive decision making. Spending some time finding a solid idea of what he should get very tied up with an overview of the two samples. What type of decision process would you expect most consumers to follow in their first purchase of a new product or brand in each of the following areas:

Define Extensive Problem Solving, Limited Problem Solving, And Routinized Response Behavior.

In the choice process, extensive problem solving includes those consumer decisions requiring considerable cognitive activity, thought, and behavioral effort as compared to routinized choice behavior and habitual decision making. Extensive problem solving definition in business Also referred to as limited decision making.

Extensive Problem Solving, The Decisionmaking Process For The Customer, The Powerpoint Presentation Is Related To A Situation Where Customers Do Not Have Experience In A Specific Paper Consumption Setting For Extended Problem Solving Purchase A Particular Market, However, The Business Resale Market Regulation Setting Is Considered By.

Define extensive problem solving, limited problem solving, and routinized response behavior. Extensive problem solving is likely to occur when the customer is purchasing a product that they have not bought before. 05/10/2017 03:19 am due on:

Noun [ U ] Uk Us.

Veja aqui curas caseiras, terapias alternativas, sobre extensive problem solving definition. The process of a customer trying to get all the information they need in order to be able to make a choice between different brands of a product that they want to buy: Why is traffic such a problem in los angeles.

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How to Solve Problems

extensive problem solving business definition

To bring the best ideas forward, teams must build psychological safety.

Teams today aren’t just asked to execute tasks: They’re called upon to solve problems. You’d think that many brains working together would mean better solutions, but the reality is that too often problem-solving teams fall victim to inefficiency, conflict, and cautious conclusions. The two charts below will help your team think about how to collaborate better and come up with the best solutions for the thorniest challenges.

First, think of the last time you had to solve a problem. Maybe it was a big one: A major trade route is blocked and your product is time sensitive and must make it to market on time. Maybe it was a small one: A traffic jam on your way to work means you’re going to be late for your first meeting of the day. Whatever the size of the impact, in solving your problem you moved through five stages, according to “ Why Groups Struggle to Solve Problems Together ,” by Al Pittampalli.

extensive problem solving business definition

Pittampalli finds that most of us, when working individually, move through these stages intuitively. It’s different when you’re working in a team, however. You need to stop and identify these different stages to make sure the group is aligned. For example, while one colleague might join a problem-solving discussion ready to evaluate assumptions (Stage 3), another might still be defining the problem (Stage 1). By defining each stage of your problem-solving explicitly, you increase the odds of your team coming to better solutions more smoothly.

This problem-solving technique gains extra power when applied to Alison Reynold’s and David Lewis’ research on problem-solving teams. In their article, “ The Two Traits of the Best Problem-Solving Teams ,” they find that highly effective teams typically have a pair of common features: They are cognitively diverse and they are psychologically safe. They also exhibit an array of characteristics associated with learning and confidence; these teammates tend to be curious, experimental, and nurturing, for example.

extensive problem solving business definition

As you and your colleagues consider these ideas, think about the last problem you had to solve as a team. First, map out what you remember from each step of your problem-solving. Were all of you on the same page at each stage? What aspects of the problem did you consider — or might you have missed — as a result? What can you do differently the next time you have a problem to solve? Second, ask where your team sees themselves on the chart. What kinds of behaviors could your team adopt to help you move into that top-right quadrant?

extensive problem solving business definition

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Limited Problem Solving

Marketing dictionary.

buying situations in which a purchaser has had some previous experience but is unfamiliar with suppliers, product options, prices, etc. Also referred to as Limited Decision Making.

See: Extensive Problem Solving

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10 Consumer Behavior Models (& Which One Applies to Your Business)

Flori Needle

Published: December 10, 2021

Consumer behavior models are instrumental for understanding how, when, and why your customers buy. By applying the models to your customer acquisition efforts , you can accurately predict who will buy your product and target the right customers at the right time.

businesspeople creating a tailored customer experience using a consumer behavior model

In this post, we’ll discuss the most important consumer behavior models and explain how you can use them to create customer-centric experiences.

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What is a consumer behavior model?

A consumer behavior model is a theoretical framework for explaining why and how customers make purchasing decisions. The goal of consumer behavior models is to outline a predictable map of customer decisions up until conversion, thus helping you steer every stage of the buyer’s journey.

Consumer behavior models may sound complicated, but they’re not. They’re a way to create a “buyer behavior story” that you can use to refine and improve your customer experience.

As a whole, buyer behavior refers to an individual's buying habits based on influences from their background, education, personal beliefs, goals, needs, desires, and more.

Businesses aim to understand buyer behavior through customer behavior analysis , which involves the qualitative and quantitative analysis of a target market. Even though this data can tell you your customer’s favorite brand of socks, it doesn’t mean much if it doesn’t tell you why they purchased that brand of socks.

That’s where consumer behavior models come in. Consumer behavior models contextualize results from customer behavior analysis studies and help you get to the “why” of purchasing decisions.

Consumer Behavior Models

Customer behavior models help you understand your unique customer base and more effectively attract, engage, and retain them. These models are either traditional or contemporary.

Traditional Behavior Models

Traditional behavior models were developed by economists hoping to understand what customers purchase based on their wants and needs. Traditional models include the following:

1. Learning Model of Consumer Behavior

customer modeling example: learning model

The Learning Model of customer behavior theorizes that buyer behavior responds to the desire to satisfy basic needs required for survival, like food, and learned needs that arise from lived experiences, like fear or guilt. This model takes influence from psychologist Abraham Maslow’s Hierarchy of Needs (pictured below).

customer behavior model hierarchy of basic needs and learned needs diagram

Sigmund Freud is the father of psychoanalysis. The psychoanalytical model draws from his theories and says that individual consumers have deep-rooted motives, both conscious and unconscious, that drive them to make a purchase. These motives can be hidden fears, suppressed desires, or personal longings.

Thus, customers make purchases depending on how stimuli from your business, like an advertisement on Instagram, appeal to their desires. It’s important to note that, since these desires can be unconscious, customers don’t always know why it appeals to them; they just know it feels right to have it.

This model is unique in terms of application, but it’s relevant to businesses that sell an image that accompanies their products or services. For example, say you sell glasses. We all long to fit in and feel like we’re valued and seen as capable, smart people. Glasses are sometimes a symbol of intelligence, so you’d want to appeal to this desire when crafting a customer experience.

You may instruct marketing to create ad campaigns that display pictures of people wearing your glasses in educational settings or doing things that society labels as ‘smart.’

3. Sociological Model

customer modeling example: sociological model

For instance, C-Suite executives are expected to be professional and formal. People who hold these jobs will make purchases that speak to and uphold this group’s rules, like formal business wear.

This model can apply to most businesses, especially those that create products and services relevant to specific groups. To use the Sociological Model, you’d want to create experiences that speak to how these groups usually act. One example is brands that sell exercise equipment.

You sell to and appeal to consumers that are part of a societal group that likes to work out. To delight these customers, you’d want to sell to their desires, like equipment that improves performance or an insulated water bottle that stays cold and leaves them satisfied during their breaks. By doing this, you’re speaking to the consumer in that specific group and showing them that your product will help them retain their position in that group.

Check out this ad from Nike. They’re selling this shoe to the undefined group of people who like to run, claiming that it will improve their speed and help them fit in with the group.

4. Economic Model of Consumer Behavior

customer modeling example: economic model

That means that businesses and manufacturers can predict sales based on their customers’ income and their products’ price. If companies offer the lowest-priced product, they may feel that they’re guaranteed a consistent level of profit.

While the economic model is the easiest to understand, it’s also the most limited. A buyer may have other reasons for purchasing a product aside from price and personal resources.

One such example would be prescription medicine in the U.S. healthcare industry. While the price of a prescription drug may exceed the buyer’s resources, the buyer would still have to find a way to purchase it and meet their needs. They might open a credit card or take out a personal loan to pay for the medicine. Thus personal income and price don’t affect the purchasing decision here; instead, need does.

Contemporary Models

Contemporary models of consumer behavior focus on rational and deliberate decision-making processes rather than emotions or unconscious desires. The contemporary models include:

1. Engel-Kollat-Blackwell (EKB) Model of Consumer Behavior

customer modeling example: ekb model

Overall, EKB says that consumers make decisions based on influencing factors that they assess through rational insight.

This model applies to businesses that have many competitors with similar products or services. If your product market is highly saturated and competitive, the goal is to outshine your competitors by meeting customers at every stage of their journey.

Increase visibility for your business during the awareness stage through Search Engine Optimization . Show them how your product or service will benefit them and give them the resources they need to weigh you against your competitors, like customer reviews and testimonials , free trials, discounts for bulk purchases. Lastly, and provide excellent after-sales support to show them that you care about their business even if they make a return.

2. Black Box Model of Consumer Behavior

customer modeling example: black box model

It may look complex, but it’s a fairly straightforward path. A consumer comes into contact with external stimuli from your business’ marketing mix and other external stimuli, and they process it in their mind (black box). They relate the external stimuli to their pre-existing knowledge, like personal beliefs and desires, to make a decision.

In short, this model says that consumers are problem solvers who make decisions after judging how your product will satisfy their existing beliefs and needs. Since consumers only follow through with a purchase after understanding how a product relates to their experiences, this model can benefit businesses selling products that go along with a lifestyle.

Case in point: cars. Different brands sell their cars to specific types of buyers. Jeeps and Subarus are for those that engage in outdoor activities and need a sturdy, reliable vehicle. At the same time, Mercedez Benz and Lexus’ are marketed to those who want luxurious driving experiences. Even though the machinery is relatively similar, these brands speak to the pre-existing life values that customers have, and they promise that purchasing their vehicle will uphold their values.

3. Hawkins Stern Impulse Buying Model

customer modeling example: hawkins stern

The Hawkins Stern Model applies to most businesses, as there are no limits to what a customer with this purchasing behavior will buy. Create a tailored customer experience by putting care into product displays, creating AI algorithms for online shopping, or placing items on sale to appeal to your shoppers who are planned purchase impulse buyers.

4. Howard Sheth Model of Buying Behavior

customer modeling example: howard sheth

According to this model, there are three successive levels of decision-making:

We’ve all gone through some version of these stages. Let’s look at an anecdotal example.

When I first started buying glasses online, I had no idea which retailers I should use or whether the glasses sold online would be the same quality as the opticians’ offerings. I searched online to find a high-quality online glasses retailer (extensive problem-solving).

I found a few choices and started comparing them from both a pricing and quality standpoint (limited problem-solving). I eventually chose one, and that’s the retailer I’ve used ever since (habitual response behavior).

But these stages aren’t that simple. According to the Howard Sheth model, I was under the sway of several stimuli during this process:

5. Nicosia Model

customer modeling example: nicosia model

While it’s an attractive model because it places all the power on businesses, it’s unwise to ignore the customer’s internal factors that lead to a purchase decision. In other words, while you may offer the wittiest and most effective marketing copy ever, a customer’s internal attributes may have more sway in some instances over others.

The model is comprised of four “fields”:

6. Webster and Wind Model of Organizational Buying Behavior

customer modeling example: webster and wind

After taking all of those variables into account, B2B organizations are then able to chart a predictable buyer’s journey for their target customers.

Your Customers Will Inform Your Strategy

If you take the time to create buyer personas, you’ll discover how your customers plan, or don’t, to purchase your products and services. If they say a deal entices them, pay close attention to the Hawkins Stern Impulse Buying Model. If they report strong ties to their social groups, refer to the Sociological Model.

Overall, your customers will inform your strategy and help you create tailored experiences that speak to their buyer behavior and leave them feeling satisfied after every purchase.

Editor's note: This post was originally published in January 2021 and has been updated for comprehensiveness.

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Decision Making Process - Meaning & Stages

What is decision making process.

Decision Making Process refers to the different stages of decision making that a consumer undergoes before, after and during the purchase of product or service. Decision making process is important for a marketer to understand what goes inside the head of consumer and how to make him/her purchase your product or service.

The decision making process of a customer includes different levels of purchase decisions, i.e. extensive problem solving, limited problem solving and routinized choice behaviour. This is an important concept in marketing which companies need to understand so that they can target customers effectively and increase sales.

Decision Making Process Stages

Decision making process consists of five stages. However, it is not necessary that all the buying decisions go though each and every stage.

extensive problem solving business definition

I. Problem or need recognition:  The first stage in the decision making process or the buying process starts with need recognition. The consumers identifies gap between his current state and desired state. A need can be triggered by internal or external stimuli. Internal stimuli includes personal needs experienced by the consumer, such as hunger, thirst etc. Advertisements, word of mouth are external influencers which can also trigger needs.

II. Information search: In second stage of decision making process, customer tries to gather as much information as possible. But it depends on how strong the need is. If the need is too strong, customer might skip this stage and go for purchase. If not, information search process begins. Information search can be categorized into internal and external research. Internal search refers to recalling past experiences with the product. External search is conducted when customer tries to seek information from personal sources (family, friends etc), Commercial sources (advertisements, sales people) or public sources (newspapers, television etc).

III. Evaluation of alternatives: In the third stage of decision making process, customer evaluates all the alternatives available in the market. It either occurs separately or in conjunction with information search. The important determinant in this stage is the degree of involvement customer may have with potential product. When a purchase is highly involving, customer might go for extensive evaluation. Examples of highly involving purchases are buying a car, house etc. It is important for marketer to stress on important features of the product in such cases. Consumer moves to next stage once value of all alternatives have been assessed.

IV. Purchase: Actual buying of product occurs in the fourth stage of decision making process.

V. Post purchase behaviour: In the last stage of decision making process, consumer analyses whether product was useful to him or not, whether the product fulfilled his need or not. If the satisfaction level is high, consumer will become loyal customer of the brand. Marketer’s goal is to make sure that buyer feels positive about their purchases.

Hence, this concludes the definition of Decision Making Process along with its overview.

This article has been researched & authored by the Business Concepts Team . It has been reviewed & published by the MBA Skool Team. The content on MBA Skool has been created for educational & academic purpose only.

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extensive problem solving business definition

How to master the seven-step problem-solving process

In this episode of the McKinsey Podcast , Simon London speaks with Charles Conn, CEO of venture-capital firm Oxford Sciences Innovation, and McKinsey senior partner Hugo Sarrazin about the complexities of different problem-solving strategies.

Podcast transcript

Simon London: Hello, and welcome to this episode of the McKinsey Podcast , with me, Simon London. What’s the number-one skill you need to succeed professionally? Salesmanship, perhaps? Or a facility with statistics? Or maybe the ability to communicate crisply and clearly? Many would argue that at the very top of the list comes problem solving: that is, the ability to think through and come up with an optimal course of action to address any complex challenge—in business, in public policy, or indeed in life.

Looked at this way, it’s no surprise that McKinsey takes problem solving very seriously, testing for it during the recruiting process and then honing it, in McKinsey consultants, through immersion in a structured seven-step method. To discuss the art of problem solving, I sat down in California with McKinsey senior partner Hugo Sarrazin and also with Charles Conn. Charles is a former McKinsey partner, entrepreneur, executive, and coauthor of the book Bulletproof Problem Solving: The One Skill That Changes Everything [John Wiley & Sons, 2018].

Charles and Hugo, welcome to the podcast. Thank you for being here.

Hugo Sarrazin: Our pleasure.

Charles Conn: It’s terrific to be here.

Simon London: Problem solving is a really interesting piece of terminology. It could mean so many different things. I have a son who’s a teenage climber. They talk about solving problems. Climbing is problem solving. Charles, when you talk about problem solving, what are you talking about?

Charles Conn: For me, problem solving is the answer to the question “What should I do?” It’s interesting when there’s uncertainty and complexity, and when it’s meaningful because there are consequences. Your son’s climbing is a perfect example. There are consequences, and it’s complicated, and there’s uncertainty—can he make that grab? I think we can apply that same frame almost at any level. You can think about questions like “What town would I like to live in?” or “Should I put solar panels on my roof?”

You might think that’s a funny thing to apply problem solving to, but in my mind it’s not fundamentally different from business problem solving, which answers the question “What should my strategy be?” Or problem solving at the policy level: “How do we combat climate change?” “Should I support the local school bond?” I think these are all part and parcel of the same type of question, “What should I do?”

I’m a big fan of structured problem solving. By following steps, we can more clearly understand what problem it is we’re solving, what are the components of the problem that we’re solving, which components are the most important ones for us to pay attention to, which analytic techniques we should apply to those, and how we can synthesize what we’ve learned back into a compelling story. That’s all it is, at its heart.

I think sometimes when people think about seven steps, they assume that there’s a rigidity to this. That’s not it at all. It’s actually to give you the scope for creativity, which often doesn’t exist when your problem solving is muddled.

Simon London: You were just talking about the seven-step process. That’s what’s written down in the book, but it’s a very McKinsey process as well. Without getting too deep into the weeds, let’s go through the steps, one by one. You were just talking about problem definition as being a particularly important thing to get right first. That’s the first step. Hugo, tell us about that.

Hugo Sarrazin: It is surprising how often people jump past this step and make a bunch of assumptions. The most powerful thing is to step back and ask the basic questions—“What are we trying to solve? What are the constraints that exist? What are the dependencies?” Let’s make those explicit and really push the thinking and defining. At McKinsey, we spend an enormous amount of time in writing that little statement, and the statement, if you’re a logic purist, is great. You debate. “Is it an ‘or’? Is it an ‘and’? What’s the action verb?” Because all these specific words help you get to the heart of what matters.

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Simon London: So this is a concise problem statement.

Hugo Sarrazin: Yeah. It’s not like “Can we grow in Japan?” That’s interesting, but it is “What, specifically, are we trying to uncover in the growth of a product in Japan? Or a segment in Japan? Or a channel in Japan?” When you spend an enormous amount of time, in the first meeting of the different stakeholders, debating this and having different people put forward what they think the problem definition is, you realize that people have completely different views of why they’re here. That, to me, is the most important step.

Charles Conn: I would agree with that. For me, the problem context is critical. When we understand “What are the forces acting upon your decision maker? How quickly is the answer needed? With what precision is the answer needed? Are there areas that are off limits or areas where we would particularly like to find our solution? Is the decision maker open to exploring other areas?” then you not only become more efficient, and move toward what we call the critical path in problem solving, but you also make it so much more likely that you’re not going to waste your time or your decision maker’s time.

How often do especially bright young people run off with half of the idea about what the problem is and start collecting data and start building models—only to discover that they’ve really gone off half-cocked.

Hugo Sarrazin: Yeah.

Charles Conn: And in the wrong direction.

Simon London: OK. So step one—and there is a real art and a structure to it—is define the problem. Step two, Charles?

Charles Conn: My favorite step is step two, which is to use logic trees to disaggregate the problem. Every problem we’re solving has some complexity and some uncertainty in it. The only way that we can really get our team working on the problem is to take the problem apart into logical pieces.

What we find, of course, is that the way to disaggregate the problem often gives you an insight into the answer to the problem quite quickly. I love to do two or three different cuts at it, each one giving a bit of a different insight into what might be going wrong. By doing sensible disaggregations, using logic trees, we can figure out which parts of the problem we should be looking at, and we can assign those different parts to team members.

Simon London: What’s a good example of a logic tree on a sort of ratable problem?

Charles Conn: Maybe the easiest one is the classic profit tree. Almost in every business that I would take a look at, I would start with a profit or return-on-assets tree. In its simplest form, you have the components of revenue, which are price and quantity, and the components of cost, which are cost and quantity. Each of those can be broken out. Cost can be broken into variable cost and fixed cost. The components of price can be broken into what your pricing scheme is. That simple tree often provides insight into what’s going on in a business or what the difference is between that business and the competitors.

If we add the leg, which is “What’s the asset base or investment element?”—so profit divided by assets—then we can ask the question “Is the business using its investments sensibly?” whether that’s in stores or in manufacturing or in transportation assets. I hope we can see just how simple this is, even though we’re describing it in words.

When I went to work with Gordon Moore at the Moore Foundation, the problem that he asked us to look at was “How can we save Pacific salmon?” Now, that sounds like an impossible question, but it was amenable to precisely the same type of disaggregation and allowed us to organize what became a 15-year effort to improve the likelihood of good outcomes for Pacific salmon.

Simon London: Now, is there a danger that your logic tree can be impossibly large? This, I think, brings us onto the third step in the process, which is that you have to prioritize.

Charles Conn: Absolutely. The third step, which we also emphasize, along with good problem definition, is rigorous prioritization—we ask the questions “How important is this lever or this branch of the tree in the overall outcome that we seek to achieve? How much can I move that lever?” Obviously, we try and focus our efforts on ones that have a big impact on the problem and the ones that we have the ability to change. With salmon, ocean conditions turned out to be a big lever, but not one that we could adjust. We focused our attention on fish habitats and fish-harvesting practices, which were big levers that we could affect.

People spend a lot of time arguing about branches that are either not important or that none of us can change. We see it in the public square. When we deal with questions at the policy level—“Should you support the death penalty?” “How do we affect climate change?” “How can we uncover the causes and address homelessness?”—it’s even more important that we’re focusing on levers that are big and movable.

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Simon London: Let’s move swiftly on to step four. You’ve defined your problem, you disaggregate it, you prioritize where you want to analyze—what you want to really look at hard. Then you got to the work plan. Now, what does that mean in practice?

Hugo Sarrazin: Depending on what you’ve prioritized, there are many things you could do. It could be breaking the work among the team members so that people have a clear piece of the work to do. It could be defining the specific analyses that need to get done and executed, and being clear on time lines. There’s always a level-one answer, there’s a level-two answer, there’s a level-three answer. Without being too flippant, I can solve any problem during a good dinner with wine. It won’t have a whole lot of backing.

Simon London: Not going to have a lot of depth to it.

Hugo Sarrazin: No, but it may be useful as a starting point. If the stakes are not that high, that could be OK. If it’s really high stakes, you may need level three and have the whole model validated in three different ways. You need to find a work plan that reflects the level of precision, the time frame you have, and the stakeholders you need to bring along in the exercise.

Charles Conn: I love the way you’ve described that, because, again, some people think of problem solving as a linear thing, but of course what’s critical is that it’s iterative. As you say, you can solve the problem in one day or even one hour.

Charles Conn: We encourage our teams everywhere to do that. We call it the one-day answer or the one-hour answer. In work planning, we’re always iterating. Every time you see a 50-page work plan that stretches out to three months, you know it’s wrong. It will be outmoded very quickly by that learning process that you described. Iterative problem solving is a critical part of this. Sometimes, people think work planning sounds dull, but it isn’t. It’s how we know what’s expected of us and when we need to deliver it and how we’re progressing toward the answer. It’s also the place where we can deal with biases. Bias is a feature of every human decision-making process. If we design our team interactions intelligently, we can avoid the worst sort of biases.

Simon London: Here we’re talking about cognitive biases primarily, right? It’s not that I’m biased against you because of your accent or something. These are the cognitive biases that behavioral sciences have shown we all carry around, things like anchoring, overoptimism—these kinds of things.

Both: Yeah.

Charles Conn: Availability bias is the one that I’m always alert to. You think you’ve seen the problem before, and therefore what’s available is your previous conception of it—and we have to be most careful about that. In any human setting, we also have to be careful about biases that are based on hierarchies, sometimes called sunflower bias. I’m sure, Hugo, with your teams, you make sure that the youngest team members speak first. Not the oldest team members, because it’s easy for people to look at who’s senior and alter their own creative approaches.

Hugo Sarrazin: It’s helpful, at that moment—if someone is asserting a point of view—to ask the question “This was true in what context?” You’re trying to apply something that worked in one context to a different one. That can be deadly if the context has changed, and that’s why organizations struggle to change. You promote all these people because they did something that worked well in the past, and then there’s a disruption in the industry, and they keep doing what got them promoted even though the context has changed.

Simon London: Right. Right.

Hugo Sarrazin: So it’s the same thing in problem solving.

Charles Conn: And it’s why diversity in our teams is so important. It’s one of the best things about the world that we’re in now. We’re likely to have people from different socioeconomic, ethnic, and national backgrounds, each of whom sees problems from a slightly different perspective. It is therefore much more likely that the team will uncover a truly creative and clever approach to problem solving.

Simon London: Let’s move on to step five. You’ve done your work plan. Now you’ve actually got to do the analysis. The thing that strikes me here is that the range of tools that we have at our disposal now, of course, is just huge, particularly with advances in computation, advanced analytics. There’s so many things that you can apply here. Just talk about the analysis stage. How do you pick the right tools?

Charles Conn: For me, the most important thing is that we start with simple heuristics and explanatory statistics before we go off and use the big-gun tools. We need to understand the shape and scope of our problem before we start applying these massive and complex analytical approaches.

Simon London: Would you agree with that?

Hugo Sarrazin: I agree. I think there are so many wonderful heuristics. You need to start there before you go deep into the modeling exercise. There’s an interesting dynamic that’s happening, though. In some cases, for some types of problems, it is even better to set yourself up to maximize your learning. Your problem-solving methodology is test and learn, test and learn, test and learn, and iterate. That is a heuristic in itself, the A/B testing that is used in many parts of the world. So that’s a problem-solving methodology. It’s nothing different. It just uses technology and feedback loops in a fast way. The other one is exploratory data analysis. When you’re dealing with a large-scale problem, and there’s so much data, I can get to the heuristics that Charles was talking about through very clever visualization of data.

You test with your data. You need to set up an environment to do so, but don’t get caught up in neural-network modeling immediately. You’re testing, you’re checking—“Is the data right? Is it sound? Does it make sense?”—before you launch too far.

Simon London: You do hear these ideas—that if you have a big enough data set and enough algorithms, they’re going to find things that you just wouldn’t have spotted, find solutions that maybe you wouldn’t have thought of. Does machine learning sort of revolutionize the problem-solving process? Or are these actually just other tools in the toolbox for structured problem solving?

Charles Conn: It can be revolutionary. There are some areas in which the pattern recognition of large data sets and good algorithms can help us see things that we otherwise couldn’t see. But I do think it’s terribly important we don’t think that this particular technique is a substitute for superb problem solving, starting with good problem definition. Many people use machine learning without understanding algorithms that themselves can have biases built into them. Just as 20 years ago, when we were doing statistical analysis, we knew that we needed good model definition, we still need a good understanding of our algorithms and really good problem definition before we launch off into big data sets and unknown algorithms.

Simon London: Step six. You’ve done your analysis.

Charles Conn: I take six and seven together, and this is the place where young problem solvers often make a mistake. They’ve got their analysis, and they assume that’s the answer, and of course it isn’t the answer. The ability to synthesize the pieces that came out of the analysis and begin to weave those into a story that helps people answer the question “What should I do?” This is back to where we started. If we can’t synthesize, and we can’t tell a story, then our decision maker can’t find the answer to “What should I do?”

Simon London: But, again, these final steps are about motivating people to action, right?

Charles Conn: Yeah.

Simon London: I am slightly torn about the nomenclature of problem solving because it’s on paper, right? Until you motivate people to action, you actually haven’t solved anything.

Charles Conn: I love this question because I think decision-making theory, without a bias to action, is a waste of time. Everything in how I approach this is to help people take action that makes the world better.

Simon London: Hence, these are absolutely critical steps. If you don’t do this well, you’ve just got a bunch of analysis.

Charles Conn: We end up in exactly the same place where we started, which is people speaking across each other, past each other in the public square, rather than actually working together, shoulder to shoulder, to crack these important problems.

Simon London: In the real world, we have a lot of uncertainty—arguably, increasing uncertainty. How do good problem solvers deal with that?

Hugo Sarrazin: At every step of the process. In the problem definition, when you’re defining the context, you need to understand those sources of uncertainty and whether they’re important or not important. It becomes important in the definition of the tree.

You need to think carefully about the branches of the tree that are more certain and less certain as you define them. They don’t have equal weight just because they’ve got equal space on the page. Then, when you’re prioritizing, your prioritization approach may put more emphasis on things that have low probability but huge impact—or, vice versa, may put a lot of priority on things that are very likely and, hopefully, have a reasonable impact. You can introduce that along the way. When you come back to the synthesis, you just need to be nuanced about what you’re understanding, the likelihood.

Often, people lack humility in the way they make their recommendations: “This is the answer.” They’re very precise, and I think we would all be well-served to say, “This is a likely answer under the following sets of conditions” and then make the level of uncertainty clearer, if that is appropriate. It doesn’t mean you’re always in the gray zone; it doesn’t mean you don’t have a point of view. It just means that you can be explicit about the certainty of your answer when you make that recommendation.

Simon London: So it sounds like there is an underlying principle: “Acknowledge and embrace the uncertainty. Don’t pretend that it isn’t there. Be very clear about what the uncertainties are up front, and then build that into every step of the process.”

Hugo Sarrazin: Every step of the process.

Simon London: Yeah. We have just walked through a particular structured methodology for problem solving. But, of course, this is not the only structured methodology for problem solving. One that is also very well-known is design thinking, which comes at things very differently. So, Hugo, I know you have worked with a lot of designers. Just give us a very quick summary. Design thinking—what is it, and how does it relate?

Hugo Sarrazin: It starts with an incredible amount of empathy for the user and uses that to define the problem. It does pause and go out in the wild and spend an enormous amount of time seeing how people interact with objects, seeing the experience they’re getting, seeing the pain points or joy—and uses that to infer and define the problem.

Simon London: Problem definition, but out in the world.

Hugo Sarrazin: With an enormous amount of empathy. There’s a huge emphasis on empathy. Traditional, more classic problem solving is you define the problem based on an understanding of the situation. This one almost presupposes that we don’t know the problem until we go see it. The second thing is you need to come up with multiple scenarios or answers or ideas or concepts, and there’s a lot of divergent thinking initially. That’s slightly different, versus the prioritization, but not for long. Eventually, you need to kind of say, “OK, I’m going to converge again.” Then you go and you bring things back to the customer and get feedback and iterate. Then you rinse and repeat, rinse and repeat. There’s a lot of tactile building, along the way, of prototypes and things like that. It’s very iterative.

Simon London: So, Charles, are these complements or are these alternatives?

Charles Conn: I think they’re entirely complementary, and I think Hugo’s description is perfect. When we do problem definition well in classic problem solving, we are demonstrating the kind of empathy, at the very beginning of our problem, that design thinking asks us to approach. When we ideate—and that’s very similar to the disaggregation, prioritization, and work-planning steps—we do precisely the same thing, and often we use contrasting teams, so that we do have divergent thinking. The best teams allow divergent thinking to bump them off whatever their initial biases in problem solving are. For me, design thinking gives us a constant reminder of creativity, empathy, and the tactile nature of problem solving, but it’s absolutely complementary, not alternative.

Simon London: I think, in a world of cross-functional teams, an interesting question is do people with design-thinking backgrounds really work well together with classical problem solvers? How do you make that chemistry happen?

Hugo Sarrazin: Yeah, it is not easy when people have spent an enormous amount of time seeped in design thinking or user-centric design, whichever word you want to use. If the person who’s applying classic problem-solving methodology is very rigid and mechanical in the way they’re doing it, there could be an enormous amount of tension. If there’s not clarity in the role and not clarity in the process, I think having the two together can be, sometimes, problematic.

The second thing that happens often is that the artifacts the two methodologies try to gravitate toward can be different. Classic problem solving often gravitates toward a model; design thinking migrates toward a prototype. Rather than writing a big deck with all my supporting evidence, they’ll bring an example, a thing, and that feels different. Then you spend your time differently to achieve those two end products, so that’s another source of friction.

Now, I still think it can be an incredibly powerful thing to have the two—if there are the right people with the right mind-set, if there is a team that is explicit about the roles, if we’re clear about the kind of outcomes we are attempting to bring forward. There’s an enormous amount of collaborativeness and respect.

Simon London: But they have to respect each other’s methodology and be prepared to flex, maybe, a little bit, in how this process is going to work.

Hugo Sarrazin: Absolutely.

Simon London: The other area where, it strikes me, there could be a little bit of a different sort of friction is this whole concept of the day-one answer, which is what we were just talking about in classical problem solving. Now, you know that this is probably not going to be your final answer, but that’s how you begin to structure the problem. Whereas I would imagine your design thinkers—no, they’re going off to do their ethnographic research and get out into the field, potentially for a long time, before they come back with at least an initial hypothesis.

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Hugo Sarrazin: That is a great callout, and that’s another difference. Designers typically will like to soak into the situation and avoid converging too quickly. There’s optionality and exploring different options. There’s a strong belief that keeps the solution space wide enough that you can come up with more radical ideas. If there’s a large design team or many designers on the team, and you come on Friday and say, “What’s our week-one answer?” they’re going to struggle. They’re not going to be comfortable, naturally, to give that answer. It doesn’t mean they don’t have an answer; it’s just not where they are in their thinking process.

Simon London: I think we are, sadly, out of time for today. But Charles and Hugo, thank you so much.

Charles Conn: It was a pleasure to be here, Simon.

Hugo Sarrazin: It was a pleasure. Thank you.

Simon London: And thanks, as always, to you, our listeners, for tuning into this episode of the McKinsey Podcast . If you want to learn more about problem solving, you can find the book, Bulletproof Problem Solving: The One Skill That Changes Everything , online or order it through your local bookstore. To learn more about McKinsey, you can of course find us at McKinsey.com.

Charles Conn is CEO of Oxford Sciences Innovation and an alumnus of McKinsey’s Sydney office. Hugo Sarrazin is a senior partner in the Silicon Valley office, where Simon London, a member of McKinsey Publishing, is also based.

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Problem Solving Skills: Definition & Examples for a Resume

Problem Solving Skills: Definition & Examples for a Resume

Maciej Duszyński, CPRW

As seen in:

When you come to think of what problem-solving skills are, the answer is pretty much self-explanatory: they let you solve problems.

The thing is… Employers are literally fighting for candidates with highly developed problem-solving skills. So, here’s the question: are there really such few people who know how to solve issues? Or aren’t others just able to show this on their resumes convincingly?

If you want to find out how to define problem-solving skills, how to highlight them on your resume, and how to improve them—you’re exactly where you need.

This article will show you:

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Problem-Solving Skills: List & Definition

Problem-solving skills consist of a set of skills that help you identify the problem, propose solutions, choose the best one, and implement it.

Here’s a list of skills that may come in handy at each stage of the problem-solving process. As you’re creating your resume, these examples may help you compile a list of problem-solving skills that you have:

Analytical skills

This is pretty self-explanatory. To solve a problem you must be able to analyze it from a couple of angles. Your analytical skills are exactly the ones you need to propose solutions and get to the heart of the matter.

Research skills

As a matter of fact, they tie in nicely with your analytical skills. You must be able to find and use the right resources, dig deep enough to extract the data you need, and find the right people to bounce your ideas off of. Research skills are an essential component of the problem-solving skill set.

Sometimes finding the right solution will require you to step out of your comfort zone, think outside the box, and push the envelope. This is only possible when your creative thinking skills are sharp as razors.

Decision-making skills

Once you narrow down your choices and pinpoint what causes the problem, you need to make the right decision. Remember: you’ll be held accountable for what you decide upon. A bad decision may turn out not to be helpful in finding a solution in the best case. Or may aggravate the problem in the worst.

Critical-thinking skills

The art of problem-solving is correlated with  your ability to think critically . If you have problems with seeing the big picture, you won’t be able to identify all the pros and cons of different avenues you might decide to take.

Rarely is problem-solving a solitary task, especially in the business context. You need to prove you work effectively as part of the team to implement your solutions.

Communication skills

Last but  definitely  not least. No problem would ever be solved if it weren’t communicated effectively. Period. The importance of good communication can never be underestimated. All problem-solving strategies depend on successful communication.

As you can see, problem-solving is related to many other kinds of skill sets. That's because it takes a mastery of more than one skills to  solve a problem.

Let's consider this further—

Recent studies on employability skills suggest that problem-solving skills consist of two main components:

Each of these is as important as the other.

We can define "the problem" as any discrepancy between “what is” and “what we’d like it to be.”

The problem-solving process would involve analyzing the situation, understanding it, and coming up with an action plan.

In fact—

You can come up with several possible action plans based on your assumptions about what the root cause is.

This is when decision-making skills come in handy.

If you have a good understanding of the situation and its implications, you’ll be able to decide on the right course of action more effectively and efficiently. So, when you come to think of it, there’s no such thing as a single problem-solving skill .

Decision-making, analytical, and problem-solving skills are all interrelated.

In fact, we’ll be taking a closer look at this in Section 3 of this article.

But first, we'll take a closer look at how to highlight your problem-solving skills on a resume.

Problem Solving Skills—Resume Examples

Wondering why you should demonstrate problem-solving skills on a resume?

Employers love them.

Studies invariably place problem-solving somewhere at the top of lists of skills in high demand among hiring managers.

What’s more—

It’s hard to find a job offer that doesn’t mention problem-solving skills as part of the employer’s requirements.

So, naturally, the next question is:

How to list problem-solving skills on a resume?

Well—

Even though there’s no single best answer to this question—

There’s a good strategy that always works.

It’s called: tailor your resume to the job description.

There are many jobs that require your problem-solving skills to be second to none. For example:

The job ads for such positions include entire lists of problem-solving skills that recruiters want to see on your resume.

Here’s an example of a job description for the position of a business analyst :

By the look of it, you can easily say that a business analyst is a professional problem solver.

Before we move on, you need to know one thing:

Almost  all Fortune 500 companies use the ATS (Applicant Tracking System) to initially screen resumes for keywords.

If your resume doesn’t contain the problem-solving keywords the ATS is looking for, you’re likely to end up in the rejected folder.

To avoid this, you need to—

Use the resume keywords from the job ad in your own job description.

The experience section of your resume could read something like this:

Problem Solving Skills on a Resume—Example

This way you can be sure that:

Pro Tip: Describe your past duties and responsibilities in terms of achievements .

But it doesn’t end here.

You can put your best problem-solving skills in a separate key skills section to make them even more visible.

But don’t put any random soft skills there.

Take another look at your job description, extract the essence, and use some problem-solving skills synonyms to introduce a bit of variety to your resume:

Problem Solving Skills—Resume Example

The problem-solving skills list above is entirely based on the two aforementioned experience bullet points.

The best part?

If the recruiter decides to ask you situational or behavioral problem-solving questions related to any of the skills on the list—

You’ll be able to answer them by referring to a bullet point in your experience section.

So if you hear something like: Tell me about a situation when your data analysis and solution design skills made a difference.

You can focus on telling the recruiter what steps you took specifically to improve process efficiency by 150% and reduce costs by $300K.

We have a series of dedicated guides thanks to which answering any interview question will be a piece of cake:

It may be hard to believe—

But there’s one more section on your resume you might want to populate with some of your problem-solving skills.

The resume objective or summary.

Here’s what it could look like:

Problem Solving—Resume Objective Example

A senior business analyst with 7+ years of experience and excellent communication skills . Eager to join Genentech to support solution lifecycle management and participate in executing strategic initiatives. In previous roles identified a major bottleneck generating a $200K monthly revenue loss, and designed a solution to effectively prevent it .

As you can see in this example, you can call your problem-solving skills by name and put them at the very top of your resume.

Plus—

Take another look at the job posting to see if the employer is looking for some other key skills as well.

In this particular case, strong communication skills were of utmost importance. So, why not include them in the career summary or objective ?

Need more ideas? Here’s a list of keywords you may find useful when describing your problem-solving skills:

Problem-Solving Skills—Keywords for a Resume

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When you’re done, Zety’s resume builder will score your resume and tell you exactly how to make it better.

How to Improve Problem-Solving Skills

Before we move on to the how part—

Let’s start with why.

Problem-solving skills are vital.

Studies show that if we come up with the wrong solutions we may unknowingly aggravate the problems in the long run.

What's more—

Other research shows that of all employability skills, problem-solving skills are the ones that managers find insufficiently developed among the staff.

The reason for this is that employees are often afraid that the solutions they propose will lead to the problem... becoming worse.

We've come full circle!

This is why candidates and employees with highly developed problem-solving skills are so desirable.

If you're wondering how to improve your problem-solving skills—

The answer is simple.

Practice makes perfect.

But not just any practice.

It's not enough to say: From now on, I'll be solving problems every day to become a master problem-solver.

Truth be told, you’re already doing this.

After all, life is one big problem-solving skill training!

You don't seem to be too happy with the results if you're reading this.

Here's what you need to do:

Adapt a methodical approach to problem-solving .

One of the best methodologies was put forward by the eminent mathematician George Polya back in 1945 in his famous book How to Solve It .

Polya suggested four steps you must take to solve problems effectively.

1. Understand the problem.

Seems obvious, right?

If this was so obvious, why would people have no faith in their problem-solving skills?

A thorough understanding of the challenge you're facing is vital in finding the right solution.

This is why Polya suggests you start with asking yourself these questions:

2. Devise a plan.

Once you understand the nature of the problem—

You must come up with a plan.

Polya suggests a number of strategies you can adopt. Here’s a look at some of them:

Ask yourself more questions:

Coming up with the best strategy comes in time and requires you to think in creative ways.

The more problems you solve, the easier it will be for you to identify the strategies that work for you.

3. Carry out the plan.

After the conceptual stage, implementing the plan may feel like a piece of cake.

As you’re carrying out the plan, keep checking if it brings about the desired results each step of the way.

4. Look back.

Once the problem is solved—

Inspect your solution.

Find out what worked and what didn’t.

Is it possible to reapply your solution to solving a related problem?

And finally—

Check out these simple yet creative tips to improve problem-solving skills, train your brain and learn new strategies:

Your problem-solving skills are just a part of a skill set that turns you into a highly-employable candidate. Plus, a great cover letter that matches your resume will give you an advantage over other candidates. You can write it in our cover letter builder here.  Here's what it may look like:

matching set of resume and cover letter

See more cover letter templates and start writing.

Key Takeaways

Here’s a quick summary of all you need to remember about problem-solving skills:

Do you have any questions about problem-solving skills? Maybe you’d like to share some tips on how to develop them? Give us a shout out in the comments below! We’d love to hear from you!

Maciej Duszyński, CPRW

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Individual Consumer Decision Making

29 Consumer Decision Making Process

An organization that wants to be successful must consider buyer behavior when developing the marketing mix. Buyer behavior is the actions people take with regard to buying and using products. Marketers must understand buyer behavior, such as how raising or lowering a price will affect the buyer’s perception of the product and therefore create a fluctuation in sales, or how a specific review on social media can create an entirely new direction for the marketing mix based on the comments (buyer behavior/input) of the target market.

The Consumer Decision Making Process

Once the process is started, a potential buyer can withdraw at any stage of making the actual purchase. The tendency for a person to go through all six stages is likely only in certain buying situations—a first time purchase of a product, for instance, or when buying high priced, long-lasting, infrequently purchased articles. This is referred to as complex decision making .

For many products, the purchasing behavior is a routine affair in which the aroused need is satisfied in a habitual manner by repurchasing the same brand. That is, past reinforcement in learning experiences leads directly to buying, and thus the second and third stages are bypassed. This is called simple decision making .

However, if something changes appreciably (price, product, availability, services), the buyer may re-enter the full decision process and consider alternative brands. Whether complex or simple, the first step is need identification (Assael, 1987).

A comparison between the "simple" and "complex" decision making process a consumer would experience depending on involvement and purchase.

When Inertia Takes Over

Need Recognition

Whether we act to resolve a particular problem depends upon two factors: (1) the magnitude of the discrepancy between what we have and what we need, and (2) the importance of the problem. A consumer may desire a new Cadillac and own a five-year-old Chevrolet. The discrepancy may be fairly large but relatively unimportant compared to the other problems they face. Conversely, an individual may own a car that is two years old and running very well. Yet, for various reasons, they may consider it extremely important to purchase a car this year. People must resolve these types of conflicts before they can proceed. Otherwise, the buying process for a given product stops at this point, probably in frustration.

Once the problem is recognized it must be defined in such a way that the consumer can actually initiate the action that will bring about a relevant problem solution. Note that, in many cases, problem recognition and problem definition occur simultaneously, such as a consumer running out of toothpaste. Consider the more complicated problem involved with status and image–how we want others to see us. For example, you may know that you are not satisfied with your appearance, but you may not be able to define it any more precisely than that. Consumers will not know where to begin solving their problem until the problem is adequately defined.

Marketers can become involved in the need recognition stage in three ways. First they need to know what problems consumers are facing in order to develop a marketing mix to help solve these problems. This requires that they measure problem recognition. Second, on occasion, marketers want to activate problem recognition. Public service announcements espousing the dangers of cigarette smoking is an example. Weekend and night shop hours are a response of retailers to the consumer problem of limited weekday shopping opportunities. This problem has become particularly important to families with two working adults. Finally, marketers can also shape the definition of the need or problem. If a consumer needs a new coat, do they define the problem as a need for inexpensive covering, a way to stay warm on the coldest days, a garment that will last several years, warm cover that will not attract odd looks from their peers, or an article of clothing that will express their personal sense of style? A salesperson or an ad may shape their answers

Information Search

After a need is recognized, the prospective consumer may seek information to help identify and evaluate alternative products, services, and outlets that will meet that need. Such information can come from family, friends, personal observation, or other sources, such as Consumer Reports, salespeople, or mass media. The promotional component of the marketers offering is aimed at providing information to assist the consumer in their problem solving process. In some cases, the consumer already has the needed information based on past purchasing and consumption experience. Bad experiences and lack of satisfaction can destroy repeat purchases. The consumer with a need for tires may look for information in the local newspaper or ask friends for recommendation. If they have bought tires before and was satisfied, they may go to the same dealer and buy the same brand.

Information search can also identify new needs. As a tire shopper looks for information, they may decide that the tires are not the real problem, that the need is for a new car. At this point, the perceived need may change triggering a new informational search. Information search involves mental as well as the physical activities that consumers must perform in order to make decisions and accomplish desired goals in the marketplace. It takes time, energy, money, and can often involve foregoing more desirable activities. The benefits of information search, however, can outweigh the costs. For example, engaging in a thorough information search may save money, improve quality of selection, or reduce risks. The Internet is a valuable information source.

Evaluation of Alternatives

After information is secured and processed, alternative products, services, and outlets are identified as viable options. The consumer evaluates these alternatives , and, if financially and psychologically able, makes a choice. The criteria used in evaluation varies from consumer to consumer just as the needs and information sources vary. One consumer may consider price most important while another puts more weight (importance) upon quality or convenience.

Using the ‘Rule of Thumb’

Consumers don’t have the time or desire to ponder endlessly about every purchase! Fortunately for us, heuristics , also described as shortcuts or mental “rules of thumb”, help us make decisions quickly and painlessly. Heuristics are especially important to draw on  when we are faced with choosing among products in a category where we don’t see huge differences or if the outcome isn’t ‘do or die’.

Heuristics are helpful sets of rules that simplify the decision-making process by making it quick and easy for consumers.

Common Heuristics in Consumer Decision Making

The search for alternatives and the methods used in the search are influenced by such factors as: (a) time and money costs; (b) how much information the consumer already has; (c) the amount of the perceived risk if a wrong selection is made; and (d) the consumer’s predisposition toward particular choices as influenced by the attitude of the individual toward choice behaviour. That is, there are individuals who find the selection process to be difficult and disturbing. For these people there is a tendency to keep the number of alternatives to a minimum, even if they have not gone through an extensive information search to find that their alternatives appear to be the very best. On the other hand, there are individuals who feel it necessary to collect a long list of alternatives. This tendency can appreciably slow down the decision-making function.

Consumer Evaluations Made Easier

The evaluation of alternatives often involves consumers drawing on their evoke, inept, and insert sets to help them in the decision making process.

The brands and products that consumers compare—their evoked set – represent the alternatives being considered by consumers during the problem-solving process. Sometimes known as a “consideration” set, the evoked set tends to be small relative to the total number of options available. When a consumer commits significant time to the comparative process and reviews price, warranties, terms and condition of sale and other features it is said that they are involved in extended problem solving. Unlike routine problem solving, extended or extensive problem solving comprises external research and the evaluation of alternatives. Whereas, routine problem solving is low-involvement, inexpensive, and has limited risk if purchased, extended problem solving justifies the additional effort with a high-priced or scarce product, service, or benefit (e.g., the purchase of a car). Likewise, consumers use extensive problem solving for infrequently purchased, expensive, high-risk, or new goods or services.

As opposed to the evoked set, a consumer’s inept set represent those brands that they would not given any consideration too. For a consumer who is shopping around for an electric vehicle, for example, they would not even remotely consider gas-guzzling vehicles like large SUVs.

The inert set represents those brands or products a consumer is aware of, but is indifferent to and doesn’t consider them either desirable or relevant enough to be among the evoke set. Marketers have an opportunity here to position their brands appropriately so consumers move these items from their insert to evoke set when evaluation alternatives.

The selection of an alternative, in many cases, will require additional evaluation. For example, a consumer may select a favorite brand and go to a convenient outlet to make a purchase. Upon arrival at the dealer, the consumer finds that the desired brand is out-of-stock. At this point, additional evaluation is needed to decide whether to wait until the product comes in, accept a substitute, or go to another outlet. The selection and evaluation phases of consumer problem solving are closely related and often run sequentially, with outlet selection influencing product evaluation, or product selection influencing outlet evaluation.

While many consumers would agree that choice is a good thing, there is such a thing as “too much choice” that inhibits the consumer decision making process. Consumer hyperchoice is a term used to describe purchasing situations that involve an excess of choice thus making selection for difficult for consumers. Dr. Sheena Iyengar studies consumer choice and collects data that supports the concept of consumer hyperchoice. In one of her studies, she put out jars of jam in a grocery store for shoppers to sample, with the intention to influence purchases. Dr. Iyengar discovered that when a fewer number of jam samples were provided to shoppers, more purchases were made. But when a large number of jam samples were set out, fewer purchases were made (Green, 2010). As it turns out, “more is less” when it comes to the selection process.

The Purchase Decision

After much searching and evaluating, or perhaps very little, consumers at some point have to decide whether they are going to buy.

Anything marketers can do to simplify purchasing will be attractive to buyers. This may include minimal clicks to online checkout; short wait times in line; and simplified payment options. When it comes to advertising marketers could also suggest the best size for a particular use, or the right wine to drink with a particular food. Sometimes several decision situations can be combined and marketed as one package. For example, travel agents often package travel tours with flight and hotel reservations.

To do a better marketing job at this stage of the buying process, a seller needs to know answers to many questions about consumers’ shopping behaviour. For instance, how much effort is the consumer willing to spend in shopping for the product? What factors influence when the consumer will actually purchase? Are there any conditions that would prohibit or delay purchase? Providing basic product, price, and location information through labels, advertising, personal selling, and public relations is an obvious starting point. Product sampling, coupons, and rebates may also provide an extra incentive to buy.

Actually determining how a consumer goes through the decision-making process is a difficult research task.

Post-Purchase Behaviour

All the behaviour determinants and the steps of the buying process up to this point are operative before or during the time a purchase is made. However, a consumer’s feelings and evaluations after the sale are also significant to a marketer, because they can influence repeat sales and also influence what the customer tells others about the product or brand.

Keeping the customer happy is what marketing is all about. Nevertheless, consumers typically experience some post-purchase anxiety after all but the most routine and inexpensive purchases. This anxiety reflects a phenomenon called cognitive dissonance . According to this theory, people strive for consistency among their cognitions (knowledge, attitudes, beliefs, values). When there are inconsistencies, dissonance exists, which people will try to eliminate. In some cases, the consumer makes the decision to buy a particular brand already aware of dissonant elements. In other instances, dissonance is aroused by disturbing information that is received after the purchase. The marketer may take specific steps to reduce post-purchase dissonance. Advertising that stresses the many positive attributes or confirms the popularity of the product can be helpful. Providing personal reinforcement has proven effective with big-ticket items such as automobiles and major appliances. Salespeople in these areas may send cards or may even make personal calls in order to reassure customers about their purchase.

Media Attributions

Text Attributions

Assael, H. (1987). Consumer Behavior and Marketing Action (3rd ed.), 84. Boston: Kent Publishing.

Green, P. (2010, March 17). An Expert on Choice Chooses. The New York Times. https://www.nytimes.com/2010/03/18/garden/18choice.html.

Consumer purchases made when a (new) need is identified and a consumer engages in a more rigorous evaluation, research, and alternative assessment process before satisfying the unmet need.

Consumer purchases made when a need is identified and a habitual ("routine") purchase is made to satisfy that need.

Purchasing decisions made out of habit.

The first stage of the Consumer Decision Making Process, need recognition takes place when a consumer identifies an unmet need.

The second stage of the Consumer Decision Making Process, information search takes place when a consumer seeks relative information that will help them identify and evaluate alternatives before deciding on the final purchase decision.

The third stage of the Consumer Decision Making Process, the evaluation of alternatives takes place when a consumer establishes criteria to evaluate the most viable purchasing option.

Also known as "mental shortcuts" or "rules of thumb", heuristics help consumers by simplifying the decision-making process.

A small set of "go-to" brands that consumers will consider as they evaluate the alternatives available to them before making a purchasing decision.

The brands a consumer would not pay any attention to during the evaluation of alternatives process.

The brands a consumer is aware of but indifferent to, when evaluating alternatives in the consumer decision making process. The consumer may deem these brands irrelevant and will therefore exclude them from any extensive evaluation or consideration.

A term that describes a purchasing situation in which a consumer is faced with an excess of choice that makes decision making difficult or nearly impossible.

A type of cognitive inconsistency, this term describes the discomfort consumers may feel when their beliefs, values, attitudes, or perceptions are inconsistent or contradictory to their original belief or understanding. Consumers with cognitive dissonance related to a purchasing decision will often seek to resolve this internal turmoil they are experiencing by returning the product or finding a way to justify it and minimizing their sense of buyer's remorse.

Introduction to Consumer Behaviour by Andrea Niosi is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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    extensive problem solving noun [ U ] uk us MARKETING the process of a customer trying to get all the information they need in order to be able to make a choice between different brands of a product that they want to buy: Extensive problem solving is likely to occur when the customer is purchasing a product that they have not bought before.

  2. EXTENSIVE PROBLEM SOLVING

    extensive problem solving noun [ U ] uk us MARKETING the process of a customer trying to get all the information they need in order to be able to make a choice between different brands of a product that they want to buy: Extensive problem solving is likely to occur when the customer is purchasing a product that they have not bought before.

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    Problem-solving in business is defined as implementing processes that reduce or remove obstacles that are preventing you or others from accomplishing operational and strategic business goals. In business, a problem is a situation that creates a gap between the desired and actual outcomes.

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  11. How to Solve Problems

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  15. 10 Consumer Behavior Models (& Which One Applies to Your Business)

    Traditional Behavior Models. Traditional behavior models were developed by economists hoping to understand what customers purchase based on their wants and needs. Traditional models include the following: Learning Model. Psychoanalytical Model. Sociological Model. Economic Model. 1. Learning Model of Consumer Behavior.

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  17. Decision Making Process

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  21. Consumer Decision Making Process

    Unlike routine problem solving, extended or extensive problem solving comprises external research and the evaluation of alternatives. Whereas, routine problem solving is low-involvement, inexpensive, and has limited risk if purchased, extended problem solving justifies the additional effort with a high-priced or scarce product, service, or ...