Skill

Generate Comprehensive Product Requirements Documents

Creates comprehensive PRDs: user stories, MoSCoW prioritization, technical specs, success metrics, and risk assessment.

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74
Spark score
out of 100
Updated 7 months ago
Version 1.0.0
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Why it matters

Create authoritative Product Requirements Documents (PRDs) that translate business objectives into clear, actionable requirements for engineering, design, and business stakeholders.

Outcomes

What it gets done

01

Define problem statements, solution overviews, and success metrics.

02

Structure PRDs with detailed sections including user stories, functional, and non-functional requirements.

03

Incorporate best practices for user stories, requirements classification (MoSCoW), and technical specifications.

04

Develop risk assessments and define success metrics using SMART framework.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-product-requirements-doc | bash

Overview

Product Requirements Document (PRD) Creator

Creates comprehensive Product Requirements Documents covering user stories, MoSCoW prioritization, technical specs, success metrics, and risk assessment. Use when writing a new PRD, prioritizing requirements, or defining success metrics and risk assessment for a product feature.

What it does

Creates comprehensive Product Requirements Documents (PRDs) that serve as the authoritative source of truth for product development, translating business objectives into clear, actionable requirements for engineering teams.

When to use - and when NOT to

Use this skill when writing a new PRD from scratch, structuring user stories with acceptance criteria, prioritizing functional requirements, defining technical specifications and success metrics, or adapting a PRD for an agile, iterative environment. Not a fit for lightweight feature tickets that don't need cross-functional alignment, or for purely technical design documents without a product/business framing.

Inputs and outputs

Defines a nine-section PRD structure (background/context, goals/objectives, user stories/acceptance criteria, functional requirements, non-functional requirements, technical considerations, dependencies/assumptions, risk assessment, success metrics/KPIs) preceded by an executive summary (problem statement, solution overview, success metrics, timeline).

Provides a standard user story format ("As a [user type], I want [functionality], so that [benefit]") with Given/When/Then acceptance criteria and a Definition of Done checklist covering implementation, tests, code review, and documentation. Functional requirements use the MoSCoW method (Must/Should/Could/Won't Have) for prioritization. Non-functional requirements are templated across performance (page load, API response time, concurrent users), security (auth method, encryption, compliance standards), and scalability (horizontal scaling, auto-scaling triggers, database partitioning).

Technical requirements guidance includes a concrete API specification example (endpoint, response schema, error codes) to guide implementation. Success metrics follow the SMART framework with primary metrics (adoption, engagement, conversion) and secondary metrics (uptime SLA, error rate, support ticket reduction). Risk assessment uses an impact/probability matrix with named risks and mitigation plans for each quadrant.

Stakeholder communication guidance tailors PRD content per audience: engineering teams need technical specifications, API contracts, and integration points; design teams need user research references, wireframes, and accessibility requirements; business stakeholders need ROI framing, competitive positioning, and timeline/resources. A review checklist validates that the problem is clearly defined, requirements are testable, technical feasibility is confirmed, and success metrics are trackable, supported by validation techniques (user interviews, prototype testing, technical spikes, market research).

Lists common anti-patterns: solution-first thinking instead of starting from the problem, vague non-measurable requirements, missing rationale for requirements, over-specifying implementation ("how" instead of "what"), and treating the PRD as a static rather than living document. Covers agile PRD adaptation using epic-level PRDs for high-level features, story-level detail documents, regular updates reflecting learnings, and version control for decision tracking.

Integrations

Produces documents intended for cross-functional consumption by engineering, design, and business stakeholders, with technical sections referencing API contracts and data models directly.

Who it's for

Product managers writing PRDs that need to serve as an authoritative, testable requirements source across engineering, design, and business audiences rather than an unstructured feature brief.

As a [user type],
I want [functionality],
So that [benefit/value].
Source README

Product Requirements Document (PRD) Expert

You are an expert in creating comprehensive Product Requirements Documents (PRDs) that serve as the authoritative source of truth for product development. You understand how to translate business objectives into clear, actionable requirements that engineering teams can implement effectively.

PRD Structure and Core Components

Every effective PRD should follow this proven structure:

Executive Summary

  • Problem Statement: Clear articulation of the user problem
  • Solution Overview: High-level description of the proposed solution
  • Success Metrics: Quantifiable measures of success
  • Timeline: Key milestones and delivery dates

Detailed Sections

  1. Background & Context
  2. Goals & Objectives
  3. User Stories & Acceptance Criteria
  4. Functional Requirements
  5. Non-Functional Requirements
  6. Technical Considerations
  7. Dependencies & Assumptions
  8. Risk Assessment
  9. Success Metrics & KPIs

User Story Best Practices

Write user stories using the standard format with clear acceptance criteria:

As a [user type],
I want [functionality],
So that [benefit/value].

Acceptance Criteria:
- Given [context]
- When [action]
- Then [expected outcome]

Definition of Done:
- [ ] Functionality implemented
- [ ] Unit tests written
- [ ] Integration tests pass
- [ ] Code review completed
- [ ] Documentation updated

Requirements Classification Framework

Functional Requirements

Use the MoSCoW method for prioritization:

  • Must Have: Critical features for MVP
  • Should Have: Important but not critical
  • Could Have: Nice-to-have features
  • Won't Have: Out of scope for current version

Non-Functional Requirements Template

Performance:
- Page load time: < 2 seconds
- API response time: < 500ms
- Concurrent users: 10,000+

Security:
- Authentication: OAuth 2.0
- Data encryption: AES-256
- Compliance: SOC 2, GDPR

Scalability:
- Horizontal scaling capability
- Auto-scaling triggers
- Database partitioning strategy

Technical Requirements Specification

Include specific technical details that guide implementation:

API Requirements:
GET /api/v1/users/{id}
Response: 200 OK
{
  "id": "string",
  "name": "string",
  "email": "string",
  "created_at": "ISO 8601 timestamp"
}

Error Handling:
400 Bad Request - Invalid user ID format
404 Not Found - User does not exist
500 Internal Server Error - Server error

Success Metrics Framework

Define measurable success criteria using the SMART framework:

Primary Metrics:
- User Adoption: 25% increase in DAU within 30 days
- Engagement: 40% increase in session duration
- Conversion: 15% improvement in conversion rate

Secondary Metrics:
- Performance: 95% uptime SLA
- Quality: < 2% error rate
- Support: 20% reduction in support tickets

Risk Assessment Template

Risk Matrix:
High Impact, High Probability:
- Technical debt in legacy system
- Mitigation: Incremental refactoring plan

High Impact, Low Probability:
- Third-party API deprecation
- Mitigation: Backup integration identified

Low Impact, High Probability:
- Minor UI inconsistencies
- Mitigation: Design system documentation

Stakeholder Communication

For Engineering Teams

  • Provide detailed technical specifications
  • Include API contracts and data models
  • Specify performance requirements
  • Document integration points

For Design Teams

  • Reference user research findings
  • Include wireframes and mockups
  • Specify interaction patterns
  • Document accessibility requirements

For Business Stakeholders

  • Focus on business value and ROI
  • Highlight competitive advantages
  • Present clear timeline and milestones
  • Include resource requirements

PRD Review and Validation

Review Checklist

  • Problem clearly defined and validated
  • Solution addresses core user needs
  • Requirements are testable and measurable
  • Technical feasibility confirmed
  • Dependencies identified and managed
  • Success metrics defined and trackable
  • Risk mitigation strategies in place

Validation Techniques

  • User interviews: Validate problem and solution fit
  • Prototype testing: Validate usability and functionality
  • Technical spikes: Validate feasibility and approach
  • Market research: Validate competitive positioning

Common PRD Anti-Patterns to Avoid

  • Solution-first thinking: Start with the problem, not the solution
  • Vague requirements: Use specific, measurable criteria
  • Missing context: Always explain the 'why' behind requirements
  • Over-specification: Focus on 'what' not 'how' for implementation
  • Static documents: Plan for iterative updates and refinements

Agile PRD Adaptation

For agile environments, create living documents:

  • Epic-level PRDs: High-level feature descriptions
  • Story-level details: Specific implementation requirements
  • Regular updates: Reflect learnings and changes
  • Version control: Track changes and decisions over time

FAQ

Common questions

Discussion

Questions & comments · 0

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