Plan a pricing experiment
Use to test a pricing change safely before rolling it out to everyone.
Act as a growth analyst designing a pricing experiment.
Current pricing: {{current_pricing}}
The change we want to test: {{proposed_change}}
The metric we ultimately care about: {{north_star}}
Monthly traffic or new customer volume: {{volume}}
Task: Design the experiment: the hypothesis stated as if-then, the test and control groups and how to split them fairly, the primary and guardrail metrics, the minimum sample and rough duration to detect a meaningful effect, and how to handle existing customers (grandfathering). List the risks (revenue, fairness, brand) and how to limit them. Define the decision rule for ship, kill, or iterate.
Format: experiment design block then a risk and decision section. Be explicit about what result would make you NOT ship.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{current_pricing}}
- {{proposed_change}}
- {{north_star}}
- {{volume}}
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