Lean Analytics: Use Data to Build a Better Startup Faster

Alistair Croll and Benjamin Yoskovitz connect startup stage and business model to the One Metric That Matters, combining qualitative discovery, cohort analysis, unit economics, experimentation, and decision thresholds.

13 sections ยท 51 lessons

Course outline

Metrics Fundamentals

  1. One Metric
  2. Evolving OMTM
  3. Vanity Metrics
  4. Actionable Metrics
  5. Qualitative & Quantitative
  6. Systematize Qualitative

Analytics Frameworks

  1. AARRR Framework
  2. Acquisition & Activation
  3. Retention & Revenue
  4. Analytics Cycle
  5. Cycle Practice

Startup Stages: Empathy

  1. Real Problems
  2. Market Fit

Startup Stages: Stickiness

  1. Product-Market Fit
  2. Retention Curves

Startup Stages: Virality

  1. Viral Mechanics
  2. Viral Cycle

Startup Stages: Revenue

  1. Unit Economics
  2. Monetization

Startup Stages: Scale

  1. Scale Strategy
  2. Competitive Moat

Core Engagement Metrics

  1. Cohort Analysis
  2. Segmentation
  3. DAU/MAU Ratio
  4. Stickiness

Unit Economics

  1. LTV
  2. CAC Ratio
  3. Churn Rate
  4. Reduce Churn

Conversion Optimization

  1. Conversion Funnels
  2. Optimize Funnels

Business Models

  1. E-commerce Revenue
  2. E-commerce Optimization
  3. MRR
  4. SaaS Economics
  5. Mobile Metrics
  6. Mobile Engagement
  7. Marketplace Liquidity
  8. Marketplace Metrics
  9. Media Advertising
  10. Creator Dynamics

Growth and Experimentation

  1. Growth Engines
  2. Engine Metrics
  3. A/B Testing
  4. Test Execution
  5. Hypothesis Testing
  6. Validation Framework
  7. Pivot Signals
  8. Persevere Signals

Data-Driven Culture

  1. Data Infrastructure
  2. Data Culture

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