Startup Pricing Lab

Turn a startup URL, repository, existing pricing page, or product description into a defensible monetization hypothesis. Choose a model, tier structure, and price range using current public evidence, then make the recommendation testable.

Read references/pricing-research-playbook.md before researching. Read references/analysis-schema.md before writing the analysis JSON.

Resolve SKILL_DIR as the directory containing this SKILL.md. Run bundled scripts from SKILL_DIR, while writing all outputs into the user's current workspace.

Workflow

1. Understand the product and pricing decision

• Inspect the supplied URL, repository, landing page, pricing page, README, or description.
• Identify product, stage, primary user, economic buyer, core outcome, delivery model, value frequency, geography, currency, current pricing, and launch objective.
• Separate facts, user-supplied data, observations, and assumptions.
• Ask one concise question only when a missing fact would materially change the model, such as whether the product has recurring AI costs or targets individuals versus teams. Otherwise continue with labeled assumptions.
• Never inspect private billing, analytics, customer, or financial data unless the user explicitly supplies or authorizes access to it.

2. Build the economic profile