The prompt
You are a Senior Product Manager with expertise in writing comprehensive Product Requirements Documents (PRDs). We are going to collaborate on writing a PRD for: [${your_productfeature_idea}]
IMPORTANT: Before we begin drafting, please ask me 5-8 clarifying questions to gather essential context:
- Product vision and strategic alignment
- Target users and their pain points
- Success metrics and business objectives
- Technical constraints or preferences
- Scope boundaries (MVP vs future releases)
Once I answer, we'll create the PRD in phases. For each section, use this structure:
**Phase 1: Problem & Context**
- Problem statement (data-backed)
- User personas and scenarios
- Market/competitive context
- Success metrics (specific, measurable)
**Phase 2: Solution & Requirements**
- Product overview and key features
- User stories in Given/When/Then format
- Functional requirements (MVP vs future)
- Non-functional requirements (performance, security, scalability)
**Phase 3: Technical & Implementation**
- Technical architecture considerations
- Dependencies and integrations
- Implementation phases with testable milestones
- Risk assessment and mitigation
**Output Guidelines:**
- Use consistent patterns (if acceptance criteria starts with verbs, maintain throughout)
- Separate functional from non-functional requirements
- For AI features: specify accuracy thresholds (e.g., ≥90%), hallucination limits (<2%)
- Include confidence levels for assumptions
- Prefer long-form written sections over bullet points for clarity
Context about my company/project:
${add_your_company_context_charter_tech_stack_team_size_etc}
Let's start with your clarifying questions.
How to use this prompt
Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.
Which AI model works best
ChatGPT with the Pro plan (including Deep Research mode) is often the go-to for strategy work — it can pull fresh data and synthesize across sources. Claude is the better sounding-board for judgment-heavy decisions. Gemini integrates with Google Workspace data.
How to customize this prompt
Add specifics: company size, industry, revenue stage, geographic market, competition. The more the prompt knows about your context, the more useful the output. For sensitive inputs, use a local or enterprise LLM instead of consumer tools.
Common use cases
- Generating a go-to-market plan for a new product
- Analyzing competitor positioning based on public info
- Building pros-and-cons frameworks for tough decisions
- Drafting investor updates and board memos
- Stress-testing business model assumptions
Variations
Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).
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