Root Cause Analysis Framework Generator

Pro v1.0.0 1 view

Generate comprehensive MECE-based RCA frameworks for PM interview metric investigation questions with prioritized hypotheses and answer structures.

What You Get

Get interview-ready RCA frameworks with 15-25 testable hypotheses, clarifying questions, prioritization matrices, and structured answer flows for any metric change scenario.

The Problem

PM interview candidates struggle with metric investigation questions like 'DAU dropped 15%' because they lack systematic frameworks. Without structure, candidates give ad-hoc answers, miss categories of root causes, or fail to prioritize hypotheses effectively.

The Solution

Generate complete MECE-based root cause analysis frameworks tailored to specific metric types and product contexts. Creates clarifying questions with explanations, categorized hypotheses with impact/likelihood scoring, three-tier prioritization matrices, strategic data requests, and timed interview answer structures. Adapts framework categories based on metric type (engagement, conversion, retention, revenue, growth) and includes scenario-specific common mistakes to avoid.

How It Works

  1. 1 Collect metric change scenario and product context from user
  2. 2 Identify metric type and customize framework categories accordingly
  3. 3 Generate 5-7 strategic clarifying questions with explanations for why each matters
  4. 4 Build MECE hypothesis framework with 15-25 hypotheses across Internal, External, and Data Quality categories
  5. 5 Create impact × likelihood prioritization matrix with CHECK FIRST/SECOND/THIRD tiers
  6. 6 Generate ordered strategic data requests with specific metrics and dimensions
  7. 7 Structure complete interview answer flow with timing guidance and example language
  8. 8 Add scenario-specific common mistakes to avoid

What You'll Need

  • Metric change description (metric name, magnitude, timeframe)
  • Optional product context (product type, platform, business model)

Get This Skill

Requires Pro subscription ($9/month)

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Examples

E-commerce Checkout Conversion Crisis

Comprehensive RCA framework for sudden 25% checkout conversion drop on high-value e-commerce orders. Shows payment system expertise including fraud detection, 3D Secure, gateway timeouts, and funnel-specific debugging approaches.

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Fitness App MAU Drop Analysis

Complete RCA framework for a B2C mobile fitness app experiencing 10% monthly active user decline. Demonstrates fitness-specific hypotheses including wearable integrations, post-New Year's seasonality, and workout content quality.

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Session Length Decline Investigation

RCA framework for 30% session length decrease with minimal context provided. Demonstrates handling ambiguity, emphasizing data quality verification first, and distinguishing between session count vs. length issues.

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