Operations Guide
AI Growth Experiment CAC and Payback Governance Scorecard
Experiment velocity alone does not guarantee monetization quality. This scorecard links lane execution to CAC/payback thresholds and checkpoint-based decisions.
Direct answer
Experiment velocity alone does not guarantee monetization quality. This scorecard links lane execution to CAC/payback thresholds and checkpoint-based decisions.
Fast path
- Set current and target blended CAC and payback-month thresholds before selecting active lanes.
- Map each lane to expected incremental MRR run-rate and guardrail impact confidence.
- Run Week 1 to Week 12 scorecard checkpoints with stop/continue/scale decisions.
Guide toolkit
Copy or download the checklist
Turn this guide into a working brief for AI Growth Experiment Portfolio Forecast OS.
Implementation Steps
- Set current and target blended CAC and payback-month thresholds before selecting active lanes.
- Map each lane to expected incremental MRR run-rate and guardrail impact confidence.
- Run Week 1 to Week 12 scorecard checkpoints with stop/continue/scale decisions.
- Escalate any checkpoint that misses CAC, payback, or win-rate targets within one review cycle.
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