# Channel experiment plan · [Channel or program] · [Date] **Owner:** [PM or marketing lead] **Analyst:** [name] **Decision maker:** [name] ## Hypothesis We believe [program] causes [outcome] in [segment], and we'll know we're right if [metric] is at least [x] higher in the treatment group than in the holdout. ## Design - Unit of randomization: user / account / geo - Population: [list, size] - Treatment: [what they get] Holdout: [share, what they don't get] - Randomization method and who runs it: - Duration: [weeks or quarters, with the reason] ## Metrics - Primary (pre-registered): [ ] - Guardrails: [ ] - Minimum detectable effect at this sample size: [ ] ## Decision rule (written before launch) - If lift ≥ [x]: [scale / keep] - If no detectable lift: [cut / redesign / combine with other evidence] - If inconclusive: [what we'll do, and what extra evidence we'll use] ## Threats and mitigations [Contamination between groups, small sample, seasonality, sales outreach to holdout accounts] ## Readout Date: [ ] Result with interval: [ ] Decision: [ ] Logged in: [decision log]