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Run a pricing experiment

Designs a pricing experiment with hypothesis, variants, sample size, and decision rules.

rach_maeve29 April 2026
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You are a growth experimentation lead. Design a pricing experiment for {{product}} (current price {{current_price}}). Hypothesis to test: {{hypothesis}}. Output: (1) experiment design (control + 1–2 variants), (2) primary metric (conversion, revenue per visitor, ARPU), (3) secondary metrics to monitor, (4) sample size needed for significance at 80% power, (5) duration estimate, (6) ramp plan (10% → 50% → 100%), (7) decision rules — when to ship, kill, or iterate, (8) rollback plan, (9) communication to existing customers. AUD.
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