The PRD you spent half a day on β a peer ships in an hour using Claude, with data to back it
It's not AI β you're treating AI like a 'draft generator' instead of a collaborator.
Your current approach vs. what peers achieve
It's not the tool β it's how you use it.
How you probably write PRDs today
- 1 Open Lark / Notion, stare at a blank template
- 2 Write the "user persona" section from memory
- 3 Get stuck, ask ChatGPT: "Write me a PRD for feature X"
- 4 Get generic copy β 80% needs rewriting, data backing from your own BI digging
SOTA workflow β no extra spend required
- 1 Use a spec template (What / Why / Users / Constraints / Metrics)
- 2 Claude reads spec + your company's PRD history + related data
- 3 Subagent A scans competitors; Subagent B summarizes user interviews
- 4 Claude produces a sourced draft; you focus on value judgment
Going from 'let AI write a PRD' to 'let AI read your company's PRD history first' β that's the gap between a real assistant and a boilerplate generator.
3 key actions that get you to SOTA β for free
Write a structured spec first
Don't put AI in front of a blank doc. Use a What / Why / Users / Constraints / Metrics frame, then let AI fill it in.
Feed historical PRDs as context
Drop in 3-5 strong PRDs from your company alongside the prompt. Output picks up your company's voice and structure.
Parallel research + counter-arguments
Have AI run competitive analysis + user-needs comparison + counter-arguments in parallel. Single-threaded thinking becomes multi-threaded validation.
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