Turn product signal into product plans your agents can build

Most product plans start from a blank page and a hunch. By the time they reach an engineer - or a coding agent - the scope is fuzzy, the acceptance criteria are missing, and nobody agreed on what success looks like. The result is rework, scope creep, and features that ship without ever being measured.

FeatureFactory starts from signal, not a blank doc. It clusters the raw inputs you already have - support tickets, call notes, feature requests, telemetry - into a sharp problem statement, then generates a product plan with explicit scope, non-goals, edge cases, and Given/When/Then acceptance criteria. That structure is exactly what a coding agent needs to build the right thing the first time. Read how it works or take the product tour.

Because every requirement is testable, the same document that briefs the build also grades it. When the agent opens a pull request, the acceptance criteria become the review checklist - which is how you actually review AI-generated code with confidence instead of skimming a diff.

A requirements doc that does not name the outcome it moves is just a wish list. FeatureFactory attaches a target metric to every product plan - activation, latency, conversion, retention - so the feature is measurable the moment it merges, not audited in a retro three months later.

This closes the loop the rest of the toolchain leaves open. Planning defines the outcome, the build ships against acceptance criteria, and measurement checks the released feature back against the metric it promised. If it did not move the number, you know - and the next product plan is smarter for it.

It is the same philosophy behind the whole platform: developer-led, transparent, and honest about results. Explore the manifesto to see why we build product plans this way, or start a project from planning.