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Business and Management
Entrepreneurship and Innovation
Entrepreneurship Fundamentals
Lean Startup Methodology
1. Foundations of the Lean Startup
2. The Build-Measure-Learn Feedback Loop
3. Core Strategic Concepts
4. Implementation and Scaling
5. Critiques and Common Misconceptions
The Build-Measure-Learn Feedback Loop
Overview of the Loop
Purpose: Testing Hypotheses Systematically
Iterative Nature
Rapid Experimentation
Shortening Feedback Cycles
Learning Velocity
Accelerating the Loop
Techniques for Speed
Removing Bottlenecks
Automation Strategies
The Build Phase
Formulating Hypotheses
Identifying Assumptions
Leap-of-Faith Assumptions
Defining LOFAs
Prioritizing Assumptions
Risk Assessment
The Value Hypothesis
Testing Product Value
Customer Willingness to Pay
Problem-Solution Fit
The Growth Hypothesis
Testing Growth Mechanisms
Predicting Scalability
Product-Market Fit
The Minimum Viable Product
Definition and Purpose
The Role of the MVP in Learning
MVP vs. Prototype
Fidelity Levels
Low-Fidelity MVPs
High-Fidelity MVPs
Choosing Appropriate Fidelity
Types of MVPs
Video MVP
Concierge MVP
Wizard of Oz MVP
Landing Page MVP
Crowdfunding MVP
Piecemeal MVP
Smoke Test MVP
Common MVP Pitfalls
Overbuilding the MVP
Misunderstanding Viable
Ignoring Customer Feedback
Feature Creep
The Measure Phase
Innovation Accounting Framework
Establishing a Baseline
Defining Initial Metrics
Setting Benchmarks
Baseline Measurement Methods
Tuning the Engine
Iterative Improvements
Measuring Impact of Changes
Optimization Strategies
Pivoting or Persevering
Criteria for Decision-Making
Tracking Progress Over Time
Decision Frameworks
Actionable Metrics vs. Vanity Metrics
Defining Actionable Metrics
Characteristics of Actionable Metrics
Causality and Correlation
Segmentation Capabilities
Examples of Actionable Metrics
Conversion Rates
Customer Acquisition Cost
Lifetime Value
Identifying Vanity Metrics
Dangers of Misleading Metrics
Common Vanity Metrics
Page Views and Downloads
Key Performance Indicators for Startups
Customer Acquisition Cost
Customer Lifetime Value
Churn Rate
Activation Rate
Referral Rate
Retention Rate
Engagement Metrics
Revenue per Customer
Data Collection Methods
Cohort Analysis
Segmenting Users by Acquisition Date
Analyzing Retention and Behavior
Cohort Comparison Techniques
Split Testing
Designing Experiments
Statistical Significance
Interpreting Results
Multivariate Testing
Usability Testing
Observing User Interactions
Identifying Usability Issues
Think-Aloud Protocols
Customer Interviews
Structuring Interviews
Extracting Actionable Insights
Interview Techniques
Surveys and Questionnaires
Survey Design Principles
Response Rate Optimization
Bias Mitigation
Analytics Tools and Dashboards
Tool Selection Criteria
Dashboard Design
Real-Time Monitoring
The Learn Phase
Validated Learning as Progress
Defining Validated Learning
Documenting Learning Outcomes
Learning Repositories
The Pivot or Persevere Decision
Analyzing the Data
Interpreting Results
Identifying Patterns and Trends
Statistical Analysis
The Pivot Meeting
Structure and Purpose
Stakeholder Involvement
Decision Documentation
Understanding the Pivot
Definition: Structured Course Correction
Anatomy of a Pivot
Identifying the Need for Change
Planning the Pivot
Executing the Pivot
Types of Pivots
Zoom-In Pivot
Zoom-Out Pivot
Customer Segment Pivot
Customer Need Pivot
Platform Pivot
Business Architecture Pivot
Value Capture Pivot
Engine of Growth Pivot
Channel Pivot
Technology Pivot
When to Pivot vs. Persevere
Decision Criteria
Timing Considerations
Resource Implications
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1. Foundations of the Lean Startup
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3. Core Strategic Concepts