How to analyze a problem

May 7, 2023 Companies that harness the power of data have the upper hand when it comes to problem solving. Rather than defaulting to solving problems by developing lengthy—sometimes multiyear—road maps, they’re empowered to ask how innovative data techniques could resolve challenges in hours, days or weeks, write  senior partner Kayvaun Rowshankish  and coauthors. But when organizations have more data than ever at their disposal, which data should they leverage to analyze a problem? Before jumping in, it’s crucial to plan the analysis, decide which analytical tools to use, and ensure rigor. Check out these insights to uncover ways data can take your problem-solving techniques to the next level, and stay tuned for an upcoming post on the potential power of generative AI in problem-solving.

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  1. McKinsey 7-step problem-solving process

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  2. 8-Step Framework to Problem-Solving from McKinsey

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  4. McKinsey's problem solving process: MindMapper mind map template

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  6. Master the 7-Step Problem-Solving Process for Better Decision-Making

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COMMENTS

  1. How to master the seven-step problem-solving process

    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.

  2. The McKinsey guide to problem solving

    Become a better problem solver with insights and advice from leaders around the world on topics including developing a problem-solving mindset, solving problems in uncertain times, problem solving with AI, and much more.

  3. Adopting the right problem-solving approach

    How to master the seven-step problem-solving process. Want better strategies? Become a bulletproof problem solver. Digital performance management: From the front line to the bottom line. Addressing employee burnout: Are you solving the right problem? Business’s ‘It’s not my problem’ IT problem. TEST YOUR SKILLS. Take the McKinsey ...

  4. McKinsey Problem Solving: Six Steps To Think Like A

    The McKinsey problem solving process is a series of mindset shifts and structured approaches to thinking about and solving challenging problems. It is a useful approach for anyone working in the knowledge and information economy and needs to communicate ideas to other people.

  5. 8-Step Framework to Problem-Solving from McKinsey

    The McKinsey problem-solving process begins with the use of structured frameworks to generate fact-based hypotheses followed by data gathering and analysis to prove or disprove the...

  6. The McKinsey Approach to Problem Solving

    The characteristic “McKinsey method” of problem solving is a structured, inductive approach that can be used to solve any problem. Using this standardized process saves us from reinventing the problem-solving wheel, and allows for greater focus on distinctiveness in …

  7. Unraveling McKinsey’s Approach: A Guide to Problem-Solving

    McKinsey’s method offers a beacon of clarity and direction. But what makes it so effective? 1. Defining the Problem Clearly. The McKinsey Way: Start with a clear, concise problem statement....

  8. Unraveling McKinsey's Approach: A Guide to Problem-Solving

    McKinsey’s method offers a beacon of clarity and direction. But what makes it so effective? 1. Defining the Problem Clearly. The McKinsey Way: Start with a clear, concise problem statement....

  9. 7 Steps to Bulletproof Problem Solving

    That’s where Bulletproof Problem Solving comes in. McKinsey alums Charles Conn and Rob McLean teach us how to be bulletproof problem solvers using a simple 7-steps approach. The approach has its foundation in the hypothesis …

  10. How to analyze a problem

    Check out these insights to uncover ways data can take your problem-solving techniques to the next level, and stay tuned for an upcoming post on the potential power of generative AI in problem-solving.