Bias-Proof Experiment Brief

Growth teams move fast and want their experiments to succeed — which is exactly why results get rationalized after the fact. Hypotheses get tweaked post-analysis. Fail-safe triggers get added after you see the data. Guardrail metrics appear only when a metric you liked went sideways. This template from Gage Sonntag's Super.com methodology is built to prevent that. Every brief requires a pre-committed fail-safe trigger and guardrail metrics before the experiment runs — not after. The RACI log makes ownership explicit so no one discovers who controls the ship/kill decision during the readout. Includes an 18-record experiment workbook covering every lifecycle stage, a pipeline Kanban, timing Calendar, and a 10-step self-serve task that walks a PM through design, bias checks, and launch without needing data science to approve every experiment. For Growth PMs enabling self-serve experimentation at teams where every experiment shouldn't require a data science ticket.