What problem does it solve?
When a product stops growing, teams argue about rebuilding or killing it without first diagnosing where the product actually sits in its lifecycle. This Skill provides a structured diagnosis and decision framework so the play is chosen from evidence, not from whoever argues loudest.
Core Features & Use Cases
- Stage Diagnosis: Seven transition questions across marketing, product, pricing, and data levers that detect the mature-to-decline inflection before revenue charts show it.
- Three Play Framework: Structured criteria for choosing between extension, replacement, and retirement, including the seven replacement hazards and a five-column risk register with contingency planning.
- Portfolio Worksheet: Run the play decision across an entire product line with interaction checks, so two retirements don't land on the same customers in the same window.
- Use Case: Your flagship module's revenue has been flat for six quarters and the team is split between a rewrite and a refresh. Run the diagnosis, test the extension play explicitly, and produce a documented play decision with a risk register.
Quick Start
Ask the AI to run the product lifecycle play diagnosis for your product, describing the product and the signal that prompted the question, such as flattening revenue or rising support costs.
