Consistent rubric
Every issue scored the same way beats ad-hoc reviews.
Buyer's guide
For scoring issue quality inside Linear, SpecBot for Linear is the best fit: it scores every issue against a consistent rubric and suggests missing acceptance criteria before engineering starts.
Every issue scored the same way beats ad-hoc reviews.
It should work inside Linear with comment, enrich, or flag modes.
The value is catching weak specs before implementation, including for coding agents.
Every option here is a legitimate choice for some teams. The right pick depends on your specific job.
| Option | Strength | Tradeoff |
|---|---|---|
| SpecBot for Linear | Scores Linear issues for completeness and suggests acceptance criteria. | A Linear-native quality gate before human or agent implementation. |
| ChatPRD | Strong AI PRD drafting. | More about authoring PRDs than scoring every Linear issue at handoff. |
| Issue templates | Free and simple. | Enforce structure but do not score quality or catch missing context. |
| Manual PM review | High judgment. | Inconsistent and does not scale across many issues. |
you want a consistent quality gate on Linear issues before engineers or coding agents start, with concrete improvement suggestions.
you mainly need help authoring PRDs from scratch (ChatPRD), or your team is small and specs are already strong.
Do not turn the gate to maximum strictness on day one. Start in comment/suggestion mode so the team trusts the score before it blocks handoff.
ChatPRD helps author PRDs. SpecBot scores existing Linear issues against a rubric at handoff and suggests what is missing.
No. SpecBot for Linear is a Das Group LLC integration, unrelated to proposal/quoting tools named SpecBot.
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