Conversion Experiment Report

Most A/B test write-ups live in a shared doc that nobody reads after the experiment ends. Wins get over-called. Losses get forgotten. The team builds on shaky evidence because the evidence was never structured. This template applies a four-criteria decision framework from Farid Asadi's SelectHub methodology — where a structured experiment report format helped the team achieve a 13.47% conversion uplift by making result documentation rigorous enough to trust. Every experiment report requires: primary metric result, guardrail metric status, statistical significance confirmation, and business impact estimate. A result only qualifies as a win when all four pass. Includes a 18-record experiment report workbook with full lifecycle records (Win, Loss, Inconclusive, Stopped Early), a Kanban pipeline, timing Calendar, and a documentation task that walks from experiment conclusion through formal win/loss classification. For CRO managers, growth analysts, and experimentation specialists at growth-stage B2B SaaS companies who run regular A/B tests and need documentation that survives the post-experiment review.