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How to Solve Any Problem

A Universal Case Study Method: MECE + IDEA-SCAMPER + ICE

Imagine you face a problem you have no idea how to solve. This guide presents a universal problem-solving approach that transcends specific domains.

Fundamental Principles

Before diving into the steps, keep these core principles in mind

Clarify Goal & Constraints

Verify the exact objective and metrics. Rephrase in your own words.

Owner's Mindset

Tackle problems as if you're the founder ultimately responsible.

Data Over Guesswork

Do rough calculations. A Fermi estimate beats a vague hunch.

Breadth and Depth

Systematically cover the ground, then drill down where it matters.

Six Steps to Solve Any Problem

StepWhat to DoOutcome
1Define the GoalA specific objective (e.g., 'Increase activation rate to 1.5%')
2Construct a MECE Issue Tree2-3 levels of causes identified (issue tree)
3Formulate HypothesesTable of hypotheses vs. data requirements
4Prioritize with ICERanked focus list (P0, P1, P2 items)
5Generate Solutions (IDEA-SCAMPER)Roadmap of initiatives (quick wins, mid-term, long-term)
6Deliver the ConclusionA 60-second summary of solution and plan
1
1

Step 1: Define the Goal

Clarify what you're solving for

Every problem-solving exercise must start with a crystal-clear definition of what you're trying to achieve. Pin down the goal, the primary metric, and the target value.

Outcome:

A specific objective (e.g., 'Increase activation rate to 1.5%')

Key Tips:

  • Verify the exact objective and metrics
  • Rephrase the problem in your own words
  • Ask clarifying questions
  • Don't proceed until you can state: 'The problem is X, success means Y'
2
2

Step 2: Construct a MECE Issue Tree

Structure the problem systematically

Break the problem down into mutually exclusive, collectively exhaustive components. This ensures you cover all possibilities without overlap.

Outcome:

2-3 levels of causes identified (issue tree)

Key Tips:

  • Mutually Exclusive: No overlap between categories
  • Collectively Exhaustive: Nothing important left out
  • Go 2-3 levels deep
  • Use quantitative drivers, process stages, or stakeholder segments
3
3

Step 3: Formulate Hypotheses

Identify what you need to know

For each branch in your issue tree, articulate what questions need answering. Convert each sub-issue into a research question or hypothesis.

Outcome:

Table of hypotheses vs. data requirements

Key Tips:

  • Create a two-column list: question + data needed
  • Stay hypothesis-driven
  • Anticipate what answers would mean
  • Update your tree as you learn
4
4

Step 4: Prioritize with ICE

Focus on what matters most

Use Impact, Confidence, and Effort scoring to prioritize which areas to address. Not everything can be tackled at once.

Outcome:

Ranked focus list (P0, P1, P2 items)

Key Tips:

  • Impact: How big of an improvement?
  • Confidence: How sure are you this is the issue?
  • Effort: How hard is it to address?
  • ICE Score = Impact × Confidence × Ease
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5

Step 5: Generate Solutions (IDEA-SCAMPER)

Brainstorm systematically

Use the IDEA-SCAMPER framework to generate creative solutions: Invert, De-feature, Expand, Augment, Substitute, Combine, Adapt, Modify, Put to other use, Eliminate, Rearrange.

Outcome:

Roadmap of initiatives (quick wins, mid-term, long-term)

Key Tips:

  • Go through each letter systematically
  • Quantity first, then quality
  • Challenge assumptions
  • Combine multiple techniques
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6

Step 6: Deliver the Conclusion

Synthesize and communicate

Package your findings into a succinct conclusion: problem recap, key findings, recommendations, expected impact, risks, and next steps.

Outcome:

A 60-second summary of solution and plan

Key Tips:

  • Lead with the answer (top-down)
  • Back up with specific insights
  • Quantify expected benefits
  • Acknowledge risks and mitigations

IDEA-SCAMPER Framework

11 creative prompts to generate solutions systematically

I

Invert

Flip assumptions or reverse the usual logic

Example: Let customers name their price

D

De-feature

Remove or simplify components

Example: Reduce signup to just email

E

Expand

Broaden the context or offer more scope

Example: Add adjacent features

A

Augment

Enhance the existing value proposition

Example: Add automatic savings to payments

S

Substitute

Swap out one element for another

Example: Replace SMS with biometrics

C

Combine

Merge elements for synergy

Example: Payment + gamification

A

Adapt

Borrow from another domain

Example: Gaming loot boxes for rewards

M

Modify

Change scale or attributes

Example: Micro-loans of $50

P

Put to other use

Find new uses for existing assets

Example: Use purchase data for recommendations

E

Eliminate

Remove unnecessary steps

Example: Skip ID verification initially

R

Rearrange

Change the order of steps

Example: Show value before asking for signup

ICE Prioritization

When you have multiple solutions, use ICE scoring to decide what to tackle first. Score each option 1-10 on three dimensions:

Impact

How big of an improvement could this make?

Confidence

How sure are you this will work?

Ease

How easy is it to implement?

ICE Score = Impact × Confidence × Ease

Example Comparison

OptionICEScore
Simplify signup985360
Referral campaign558200

→ Prioritize simplifying signup (higher ICE score)

Ready to apply the method?

Practice with real case studies and see how the framework works in action

Try a Case StudyPractice with Prompts