PRD Workflow

Guides the assistant to organize PRD Workflow with the right context, structure, constraints and final format.

Productivity

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.

Variables

No variables detected in this prompt.

How to use it

  1. Copy the prompt into your preferred AI tool.
  2. Replace bracketed fields with your own context.
  3. Refine the first response with additional context.

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