What are the 7 steps in problem-solving?

Complex problem solving is the core skill for 21st century teams. It’s the only way to keep up with rapid change. Winning organizations now rely on nimble, iterative problem solving, rather than the traditional planning processes. I had the opportunity to speak with Charles Conn and Robert McLean, two McKinsey alums who share a seven-step systematic approach to creative problem solving that will work in any field or industry. Their new book is BULLETPROOF PROBLEM SOLVING: The One Skill That Changes Everything .

New Skills Required

Would you share a little about the evolution of managerial skills and what skills are needed in the current era?

This new era of focus on creative problem solving has been ushered in by massive disruption of the old order in business and society. New business models are rapidly emerging from revolutionary Internet, machine learning, and bioscience technologies that threaten the status quo in every field. Technology change is speeding business up and providing an edge for disruptive innovators.

As a consequence of accelerating change, the old model of managerial skill development and application is no longer effective.  It used to be that you could learn the core skills for a career in college and graduate school – think management, accounting, law – and then apply it over forty years.  Strategic planning in business assumed an existing playing field and known actors. Today savvy business leaders are prioritizing complex problem solving skills in hiring rather than old domain knowledge, and emphasizing agile team problem solving over traditional planning cycles. This approach rewards the ability to see and quickly respond to new opportunities and threats over the slower traditional big company departmental responses.

We are seeing growing awareness of this. David Brooks of the New York Times said recently, “It doesn’t matter if you are working in the cafeteria or the inspection line of a plant, companies will only hire people who can see problems and organize responses.” And The World Economic Forum in its Future of Jobs Report placed complex problem solving at #1 in its top 10 skills for jobs in 2020.

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“Every problem has in it the seeds of its own solution. If you don’t have any problems, you don’t get any seeds.” -Norman Vincent Peale

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For those who feel ill-prepared for this era, what are the best ways to acquire the needed skills?

Unfortunately, despite an increasing recognition in the business press that problem solving is the core 21st century skill, our universities and graduate schools rarely teach systematic problem solving or modern team decision making skills. This is starting to change, and we are seeing that in moves by the OECD and Council for Aid to Education (CAE) which administers the College Learning Assessment plus test.

The OECD Program for International Student Assessment (PISA) started testing individual problem solving skills in 2012 and added collaborative problem solving skills in the 2015 assessments. One of the interesting early findings is that to teach students to become better problem solvers involves other capabilities than simply teaching reading, mathematics, and science literacy well. Capabilities such as creativity, logic, and reasoning are essential contributors to students becoming better problem solvers. That is what this book is about.

You share seven steps in your bulletproof problem solving approach. How did you develop it?

The 7-steps approach to problem solving has its roots in the hypothesis-driven structure of the scientific method, but was developed into an approach for business problem solving at McKinsey & Company.  Charles wrote one of the early internal documents to systematic problem solving in McKinsey, and both of us have developed the approach further for application more broadly to personal, social and environmental problems at all scales in later work with the Nature Conservancy, the Gordon & Betty Moore Foundation, the Rhodes Trust and in start-up companies where we are investors.

1: Define the problem.

2: Disaggregate.

3: Prioritize.

4: Workplan.

5: Analyze.

6: Synthesize.

7. Communicate.

Is there one part of it normally missed or not focused on as much as it should be?

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“Your problem is to bridge the gap which exists between where you are now and the goal you intend to reach.” -Earl Nightingale

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What are some of the best methods for overcoming biases in decision making?

The most important biases to address are confirmation bias, anchoring bias, and loss aversion.  These are deep seated in our psyches and often reinforced by traditional hierarchies. We use some simple team approaches to fight bias, including perspective-taking (the act of modeling another team member’s assertion or belief to the point that you can describe it as compellingly as the other), role playing (where you act out one side or the other of difficult choice, sometimes in a red team/blue team structure), team distributive voting on analyses and solution paths (one approach we have used is to assign each team member 10 votes, represented by sticky notes, and have each team member use them to vote on their favorite analysis, allowing cumulative or bullet voting, with the most senior person voting last, so as not to bias the choices of more junior members). The most important team norm to encourage is the obligation to dissent, which means every team member is required to verbally contest decisions when they disagree, regardless of seniority.

What do leadership teams most struggle with in the new environment?

The biggest challenge is the speed of change, which pressures all the management approaches we were taught in business school, particularly around planning cycles.  The leadership teams that get good at this typically form and re-form cross-functional teams to deploy on issues as they arise, rather than waiting for conventional departmental responses.  And they are comfortable using rapid design cycles to prototype and test products/services in the market, rather than depending on traditional marketing analysis.

How will AI impact the bulletproof approach?

We believe good organization problem solving will increasingly utilize advances in artificial intelligence to predict patterns in consumer behavior, disease, credit risk, and other complex phenomena.  Machine learning is getting better at pattern recognition than most humans. But that isn’t the whole story. To meet the challenges of the twenty-first century, mental muscle and machine muscle have to work together. Machine learning frees human problem solvers from computational drudgery and amplifies the pattern recognition required for faster organizational response to external challenges. For this partnership to work, twenty-first century organizations need staff who are quick on their feet, who learn new skills quickly, and who attack emerging problems with confidence.

For more information, see BULLETPROOF PROBLEM SOLVING: The One Skill That Changes Everything .

The 7 steps to problem-solving is a disciplined and methodical approach to identifying and then addressing the root cause of problems. Instead, a more robust approach involves working through a problem using the hypothesis-driven framework of the scientific method. Each viable hypothesis is tested using a range of specific diagnostics and then recommendations are made.

Understanding the 7 steps to problem-solving

The core argument of this approach is that the most obvious solutions to a problem are often not the best solutions. 

Good problem-solving in business is a skill that must be learned. Businesses that are adept at problem-solving take responsibility for their own decisions and have courage and confidence in their convictions. Ultimately, this removes doubt which can impede the growth of businesses and indeed employees alike.

Moving through the 7 steps to problem-solving

Although many versions of the 7-step approach exist, the McKinsey approach is the most widely used in business settings. Here is how decision makers can move through each of the steps systematically.

Step 1 – Define the problem

First, the scope and extent of the problem must be identified. Actions and behaviors of individuals must be the focus – instead of a focus on the individuals themselves. Whatever the case, the problem must be clearly defined and be universally accepted by all relevant parties.

Step 2 – Disaggregate the problem

In the second step, break down the problem (challenge) into smaller parts using logic trees and develop an early hypothesis. Here, economic and scientific principles can be useful in brainstorming potential solutions. Avoid cognitive biases, such as deciding that a previous solution should be used again because it worked last time.

Step 3 – Prioritize issues

Which constituent parts could be key driving factors of the problem? Prioritize each according to those which have the biggest impact on the problem. Eliminate parts that have negligible impact. This step helps businesses use their resources wisely.

Step 4 – Plan the analyses

Before testing each hypothesis, develop a work and process plan for each. Staff should be assigned to analytical tasks with unique output and completion dates. Hypothesis testing should also be reviewed at regular intervals to measure viability and adjust strategies accordingly.

Step 5 – Conduct the analyses

In step five, gather the critical data required to accept or reject each hypothesis. Data analysis methods will vary according to the nature of the project, but each business must understand the reasons for implementing specific methods. In question-based problem solving, the Five Whys or Fishbone method may be used. More complicated problems may require the use of statistical analysis. In any case, this is often the longest and most complex step of the process. 

Step 6 – Synthesise the results

Once the results have been determined, they must be synthesized in such a way that they can be tested for validity and logic. In a business context, assess the implications of the findings for a business moving forward. Does it solve the problem? 

Step 7 – Communicate

In the final step, the business must present the solutions in such a way that they link back to the original problem statement. When presenting to clients, this is vital. It shows that the business understands the problem and has a solution supported by facts or hard data. Above all, the data should be woven into a convincing story that ends with recommendations for future action.

Key takeaways

• 7 steps to problem-solving is a methodical approach to problem-solving based on the scientific method.
• Although a somewhat rigorous approach, the strategy can be learned by any business willing to devote the time and resources.
• Fundamentally, the 7 steps to problem-solving method involves formulating and then testing hypotheses. Through the process of elimination, a business can narrow its focus to the likely root cause of a problem.

Connected Problem Solving Frameworks

Read Next: Mental Models, Biases, Bounded Rationality, Mandela Effect, Dunning-Kruger Effect, Lindy Effect, Crowding Out Effect, Bandwagon Effect, Decision-Making Matrix.

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