Experiment readout for product and marketing teams

Experimentation
A/B Testing
Product Analytics
A reusable project format for A/B test analysis, guardrails, heterogeneous effects, and launch recommendations.
Published

April 26, 2026

Decision Question

Should the organization launch, iterate, or stop the tested intervention?

Core Readout

Summarize:

  • Primary metric effect.
  • Guardrail metric effects.
  • Segment-level patterns.
  • Power, minimum detectable effect, and practical significance.
  • Data quality issues.
  • Recommendation.

Analysis Structure

  1. Confirm assignment integrity.
  2. Audit missingness and logging consistency.
  3. Estimate intent-to-treat effects.
  4. Report uncertainty intervals.
  5. Explore heterogeneity without overstating exploratory findings.
  6. Translate evidence into a product decision.

Notebook Plan

Add notebooks such as:

  • notebooks/01-randomization-checks.ipynb
  • notebooks/02-primary-analysis.ipynb
  • notebooks/03-heterogeneity.ipynb
  • notebooks/04-readout-figures.ipynb