TUR

Rapid Experimentation Frameworks

Pillar Page | Part of our AI-Native Venture Building topical authority

This pillar provides actionable frameworks that readers can implement immediately, establishing this site as a practical resource for systematic business experimentation.

Core Concept

Methodology is what separates systematic builders from random experimenters. This pillar covers structured approaches to testing business ideas quickly, making data-driven decisions, and avoiding the sunk cost fallacy.

Key Topics Covered

The 12-Week Framework

  • Week-by-week breakdown of experiment phases
  • Problem validation and market research
  • MVP development and iteration
  • Data analysis and decision-making
  • Scale/pivot/kill criteria

Experiment Design

  • Hypothesis formation for business experiments
  • Success metrics for rapid experiments
  • Minimum viable test design
  • Parallel experiment management
  • Experiment portfolio optimization

Decision Frameworks

  • When to continue vs pivot vs kill
  • Data requirements for decisions
  • Learning extraction from failed experiments
  • Transitioning from experiment to real business

Essential Reading

Common Questions Answered

This pillar answers questions like:

  • How do you structure a 12-week business experiment?
  • What metrics determine if an experiment should continue?
  • How do you run multiple experiments in parallel?
  • What’s the minimum viable test for a business idea?
  • How do you avoid sunk cost fallacy in experiments?
  • What data do you need before killing an experiment?

Search Intent Coverage

This pillar captures searches for:

  • “12 week business experiment”
  • “rapid experimentation framework”
  • “lean startup alternative”
  • “business validation framework”
  • “MVP testing methodology”
  • “experiment-driven business”
  • “proof cycle methodology”
  • “scale pivot kill framework”

This is a living document. As we publish new content on experimentation frameworks, it will be added here to maintain topical authority.