Business
Product Requirement Prompt Generator
The generator draws from 14 diagnostic questions — what problem does this solve and for whom, what is explicitly out of scope, what does done mean with acceptance criteria, what is the rollout and rollback plan, and more — and returns a shuffled selection of however many you request (up to 10). Each question targets a gap that commonly sinks a feature: unclear scope, missing success metric, or unhandled edge cases. Product managers use this to write a tight spec, run a requirements review, or pressure-test a feature idea before committing engineering time. Answer the relevant questions in writing and the result gives engineering, design, and stakeholders a shared, unambiguous target. The most expensive bugs are the ones written into the spec — a few minutes here saves days of rework.
How to use
- Choose your options above
- Click Generate
- Copy your result
Detailed instructions
- Choose how many prompts you want.
- Generate a set for your feature.
- Answer the relevant ones in writing.
- Share the spec for review before build.
Use Cases
- •Writing a clear product spec
- •Running a requirements review
- •Pressure-testing a feature before build
- •Aligning engineering, design, and stakeholders
- •Avoiding scope and definition gaps
Tips
- →Define scope and what is out of scope.
- →Always set a measurable success metric.
- →Write concrete acceptance criteria.
- →Catch edge cases before engineering does.
FAQ
What kinds of questions does this generate?
The pool covers problem definition, scope and out-of-scope, success metrics, acceptance criteria, edge cases, dependencies, rollout plans, and decision rationale — the full set of questions a complete product spec needs to answer.
What makes a product requirement clear enough?
A clear problem statement, a defined scope, a measurable success metric, and concrete acceptance criteria. Ambiguity in any of those four areas is where rework typically originates.
Why answer these questions in writing rather than discussing them?
Writing forces precision and creates a shared artifact. Conversations leave room for each person to walk away with a different understanding; a written spec does not. It also catches gaps when the answer turns out to be 'we don't know yet.'
How detailed should the spec be?
Detailed enough to remove ambiguity, no more. Cover scope, success, edge cases, and the definition of done; skip padding. A tight, answerable spec beats a long, hand-wavy document that nobody references during build.
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