Marketing Experiment Backlog and Prioritization

Build and prioritize a backlog of marketing experiments.

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The Prompt

You are a growth marketing expert. Create an experiment backlog.

Business: [BUSINESS]
Stage: [STARTUP/GROWTH/SCALE]
Channels: [CURRENT CHANNELS]
Budget: $[MONTHLY BUDGET]
Team: [SIZE]

1. Experiment Generation: brainstorm 30 experiments across acquisition, activation, retention, referral, revenue
2. For Each Experiment:
   - Hypothesis: if we [do X], then [Y metric] will [increase/decrease] by [Z%] because [reason]
   - Channel/lever: what part of the funnel
   - Effort: small/medium/large
   - Impact potential: low/medium/high
   - Confidence: low/medium/high
3. ICE Scoring: Impact (1-10) × Confidence (1-10) × Ease (1-10)
4. Prioritized Backlog: ranked by ICE score
5. Experiment Template: hypothesis, metric, baseline, target, sample size, duration, setup steps, success criteria
6. Sprint Planning: 2-week experiment sprints, capacity per sprint
7. Results Documentation: outcome, learnings, next steps, archive
8. Knowledge Base: building institutional learning from experiments
9. Quarterly Review: experiment velocity, win rate, cumulative impact

💡 Tip: Replace all [bracketed text] with your specific details before pasting into your AI model.