reversa-pricing-estimate

To estimate B2B feature pricing, you can generate three side-by-side pricing scenarios using deterministic calculations for effort, value, and market benchmarks. This approach compares normalized seniority, customer return, and hourly benchmarks to produce educational price ranges.

Value-based pricing calculates a feature price range by applying a percentage capture to the annualized customer return. This method uses the customer's declared monthly return or cost of not doing the project to determine the feature's monetary value.

Effort-based pricing calculates a deterministic price range from feature size complexity and normalized seniority. It multiplies effort hours by an hourly rate, applies an approximate tax factor, and includes a project markup to determine the final estimate.

Yes, you can persist pricing estimates automatically by writing estimate.md and estimate.json files. The system follows a strict schema to save the selected feature directory's pricing scenarios, ensuring deterministic calculations and schema-based persistence without external calls.

Yes, you need existing pricing inputs from your pricing profile and feature size to generate market benchmark scenarios. The Faixa de Mercado scenario specifically requires country and seniority hourly benchmarks multiplied by the effort hours range.

When output files already exist, the system reads the existing estimates and asks whether to recalculate. This safety guardrail prevents accidental overwrites, ensuring your deterministic calculations and predefined reference formulas remain controlled.