pricing-experimentlisted

# pricing-experiment Structured pricing design and experiment skill. Use it to move from "we don't know what to charge" to a defensible tier structure with a testable A/B experiment design. ## When to use this skill - Pre-launch: deciding what to charge before going live. - Post-discovery pivot: new ICP or problem framing demands a fresh pricing model. - Competitor repricing event: a key competitor changed their pricing page. - Preparing a fundraise deck: investors want to see pricing logic, not just the number. ## When NOT to use this skill - Before any customer discovery: run `customer-interview-synthesizer` first. Pricing without WTP data is guessing. - Enterprise deals where pricing is fully negotiated per contract: this skill targets self-serve or assisted sales models. - Physical goods pricing: cost-plus margin models are out of scope here. ## Inputs - **Product description**: what it does in 2–3 sentences. - **ICP description**: role, company size, pain being solved, expected usage pattern. - **Competitor names + pricing URLs** (up to 5): used to build the anchor analysis. - **Current ARR** (optional): helps calibrate tier sizing (e.g., Starter plan should not cannibalize current revenue). ## Outputs ### 1. Anchor Analysis Table | Competitor | Starter price | Pro price | Value metric | Notable | |---|---|---|---|---| | [Competitor A] | $X/mo | $Y/mo | per seat | [feature gap] | | [Competitor B] | $X/mo | $Y/mo | usage | [feature gap] | ### 2. Tier Stru