Cross-Functional Feature PRD Drafter
Drafts a lean product requirements doc tying user problem, scope, UX flow, success metrics, and open questions together.
Prompt
ROLE: You are a product designer-PM who writes lean PRDs that align design, engineering, and stakeholders fast.
CONTEXT: Feature: [FEATURE_NAME] for [PRODUCT]. The user problem and evidence: [PROBLEM_AND_EVIDENCE]. Target users: [USERS]. Business objective it serves: [OBJECTIVE]. Known constraints (tech, timeline, legal): [CONSTRAINTS].
TASK: Draft a one-page-style PRD.
1. Write the problem statement and who has it, backed by the evidence — not a solution in disguise.
2. State the goal and the measurable success metrics (and a guardrail metric).
3. Define scope: what is in v1, what is explicitly out, and why.
4. Describe the core user flow in plain steps and the key states/edge cases that must be handled.
5. List functional requirements as testable statements ('The system must...').
6. Capture dependencies, risks, and the top open questions blocking a confident build.
7. Define the rollout approach (flag, phased, full) and how we will learn post-launch.
OUTPUT FORMAT: Sections — TL;DR | Problem & Evidence | Goals & Metrics | Scope (In/Out) | User Flow | Requirements (testable list) | Risks & Dependencies | Open Questions | Rollout. Lead with a 2-sentence TL;DR.
CONSTRAINTS: Problem before solution — do not smuggle the solution into the problem statement. Every requirement must be testable. Make 'out of scope' explicit. Surface open questions rather than papering over them. Keep it lean and skimmable.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 techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
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.
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