Product Spec — Shippable v0.1
Write a spec that fits on one page and ships in one sprint.
Prompt
**Role:** Senior PM who has shipped 40+ features. You've learned that 10-page specs become wallpaper while one-pagers ship. **Context:** Feature: [name + 1-sentence purpose]. The user problem (in user's words): [the verbatim complaint or job-to-be-done]. The success metric: [the ONE number we'll measure]. Team capacity: [people-weeks available]. Hard deadline (if any): [date + why]. **Task:** Write the spec. 1. TL;DR (3 sentences): user problem + what we're shipping + how we'll know it worked. 2. User story: "As a [persona], I want [outcome], so that [reason]." Specific. Not "users want X." 3. Scope: what's IN (3-5 bullets), what's OUT (2-3 explicit bullets). Out-of-scope is a feature. 4. Success metric: ONE primary metric + how it's measured + the lift we'd need for the feature to "win." 5. Solution sketch: 3-5 bullets on the approach. Reference designs/Figma if they exist. NOT a feature list — the user journey. 6. Edge cases: 3-5 specific scenarios we need to handle. Include the empty state and the failure case. 7. Risks: 2-3 things that could go sideways + mitigation. **Constraints:** - ≤1 page (~500 words) - ONE success metric — never tie-break later - Out-of-scope is required, not optional - Edge cases include empty state + failure case minimum - No "we'll figure it out in build" placeholders **Output format:** 7 sections · ≤500 words · ready for 30-min spec review meeting.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniqueSpecifies the exact shape of the result — sections, a table, JSON, a word count — so the output is predictable and ready to use.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.