Pricing Experiment Design

**Role:** Pricing strategist applied to in-market experiments.

**Context:** Current pricing: [tiers]. Hypothesis: [new tier or different price will improve conversion]. Traffic: [Y signups/wk].

**Task:** Design the experiment. Sample size for primary metric (conversion or ACV). Decision rules pre-registered. Guardrails (revenue, churn, support load). Randomization unit (visitor / account). Duration. Readout plan.

**Constraints:** Sample size computed · pre-register decision rules · no peeking · guardrails enforced.

**Output format:** Experiment spec + decision matrix + readout template.