For Engineering Teams
AI PRDs Your Engineering Team Can Actually Build From
The cost of a bad PRD is not the time it takes to write. It is the sprint you spent building the wrong thing because the spec was vague. Thinkr is opinionated about producing PRDs your engineering team can actually act on.
Before & after
From a vague spec to one your team can build from on day one.
Before Thinkr
- The spec is prose; acceptance criteria get invented mid-sprint.
- Designs live in another tab, on a version no one is sure is current.
- Feasibility questions surface at kickoff, after the plan is set.
- Specs are copied into tickets by hand, drifting from the source.
With Thinkr
- User stories and acceptance criteria ship inline, in your format.
- Figma frames sit next to the requirement they belong to.
- A dedicated feasibility pass flags the gaps before kickoff.
- ClickUp sync keeps the spec and the tickets in step.
Acceptance criteria already inline
The PRD ships with user stories and acceptance criteria written in the format your engineering team expects. No separate ticketing pass; the engineer reading the spec sees the test conditions next to the requirement they are testing.
Figma frames embedded where they matter
Embed Figma frames inline in the PRD. The engineer reading section 3.2 sees the design for section 3.2 immediately above it. No tab-switching, no "which version of the design is current."
Critique catches the technical-feasibility gaps
One of the 11 critique passes is dedicated to technical feasibility. It flags the things engineering would ask about (data model implications, performance constraints, dependencies) before the kickoff meeting raises them.
Push specs to ClickUp; Linear and Jira on the way
The ClickUp integration is shipped today, with bidirectional task / PRD sync. Linear, Jira, and GitHub integrations are on the roadmap with specs the team can request access to via the in-app integrations page.
How it fits the loop