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  2. Experimentation
  3. The Optimization Methodology

The Optimization Methodology

Series of articles to guide you through the strategy and practice of running an experimentation program. Start your journey with The Optimization Methodology article.

  • The Optimization Methodology
  •   Stage 1 – Implement Optimizely Experimentation and establish your experimentation program
    See all 4 articles
    • Build a goal tree to improve metrics that matter with your optimization program
    • Guide your program with an experimentation charter
    • Build an effective optimization team
    • Boost your program with an Optimizely solutions partner
  •   Stage 2 – Decide what to test
    See all 7 articles
    • Use a business intelligence report to ask the right questions
    • Use direct data for experimentation
    • Use indirect data for experimentation
    • Use analytics reports to generate hypotheses: basic
    • Use analytics reports to generate hypotheses: advanced
  •   Stage 3 – Organize your experiments
    See all 8 articles
    • Common metrics by revenue model
    • Create a basic prioritization framework
    • Create an experimentation roadmap
    • Use minimum detectable effect when designing an experiment
    • Use minimum detectable effect to prioritize experiments
  •   Stage 4 – Build and run your experiment
    See all 1 articles
    • Launch and monitor your experiment
  •   Stage 5 – Analyze and take action on your results
    See all 2 articles
    • Share your results with stakeholders
    • Implement wins on your production site
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