Hypothesis-Driven Problem Solver

Business Strategy Tool

Solve problems faster using hypothesis-driven thinking methodology

Business Strategy Advanced 35-45 minutes
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Framework & Instructions

Step 1: Understand the Problem

Business Challenge:

  • [What problem needs to be solved?]
  • [What does success look like?]
  • [What are the constraints?]

    Management Objective:

  • [What does leadership want to achieve?]
  • [What's driving this initiative?]
  • [Who are the key stakeholders?]

    Step 2: Break Down the Problem

  • Use MECE structure to disaggregate:

    Key Drivers:

  • [Driver 1: e.g., Customer acquisition]
  • [Driver 2: e.g., Product pricing]
  • [Driver 3: e.g., Competitive positioning]
  • [Driver 4: e.g., Operational efficiency]

    Step 3: Form Initial Hypotheses

  • For each key driver, create hypotheses:

    Driver 1 - Customer Acquisition:

  • Hypothesis: Our CAC is 3x industry average because we're targeting wrong customers
  • How to test: Compare CAC by customer segment, analyze conversion rates
  • Data needed: CAC by segment, conversion rates, customer profiles

    Driver 2 - Product Pricing:

  • Hypothesis: We're underpricing by 20% based on value delivered
  • How to test: Conduct pricing research, compare to value benchmarks
  • Data needed: Customer willingness to pay, competitor pricing, value metrics

    Driver 3 - Competitive Positioning:

  • Hypothesis: We're losing deals to competitors with better messaging
  • How to test: Analyze win/loss reasons, review competitor positioning
  • Data needed: Win/loss data, competitor analysis, sales team feedback

    Driver 4 - Operational Efficiency:

  • Hypothesis: Operational waste is costing us 15% margin
  • How to test: Analyze process inefficiencies, benchmark against best practices
  • Data needed: Process maps, time studies, cost data

    Step 4: Prioritize Hypotheses

  • Use Impact-Effort Matrix:

    High Impact, Easy to Test (Do First):

  • [Hypothesis name] - Testing approach

    High Impact, Hard to Test (Do Second):

  • [Hypothesis name] - Testing approach

    Low Impact (Defer or Skip):

  • [Hypothesis name] - Why not worth testing

    Step 5: Test Hypotheses Systematically

  • For each prioritized hypothesis:

    Hypothesis: [State the hypothesis]

    Testing Plan:

  • Analysis method: [Specific analysis to run]
  • Data sources: [Where to get data]
  • Owner: [Who conducts analysis]
  • Timeline: [When to complete]
  • Success criteria: [What proves/disproves hypothesis]

    Findings:

  • ✅ Hypothesis proven: [What we learned]
  • ❌ Hypothesis disproven: [What we learned]
  • ⚠️ Inconclusive: [What more we need]

    Step 6: Synthesize and Iterate

  • Key Insights:

  • [Insight 1 from testing]
  • [Insight 2 from testing]
  • [Insight 3 from testing]

    Revised Hypotheses:

  • [New hypothesis based on learnings]
  • [What needs to be tested next]

    Recommendations:

  • [Recommendation 1]
  • [Recommendation 2]
  • [Recommendation 3]

    ---

    Hypothesis Testing Examples

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