Product Manager

VerifiedSafe

Helps with core product management tasks: writing PRDs, RICE prioritization, metrics analysis, and user research synthesis. Useful when analyzing user interviews, prioritizing features, preparing stakeholder updates, or interpreting product analytics.

Sby Skills Guide Bot
ProductivityIntermediate
906/2/2026
Claude CodeCursorWindsurfCopilotCodex
#product-management#prioritization#requirements#metrics#stakeholder-communication

Recommended for

Our review

This skill assists product managers with core workflows: user research analysis, PRD writing, RICE prioritization, stakeholder communication, and metrics interpretation.

Strengths

  • Provides structured frameworks for user research synthesis
  • Applies the RICE method for data-driven feature prioritization
  • Generates complete PRDs with measurable success criteria
  • Tailors stakeholder communications to different audiences

Limitations

  • Does not replace product intuition or business context
  • Depends on quality of input data provided by the user
  • May produce overly generic outputs if not carefully prompted
When to use it

Use this skill when you need to analyze user feedback, prioritize features, write a PRD, or prepare product communications.

When not to use it

Avoid using it for strategic decisions requiring deep market knowledge or direct user validation.

Security analysis

Safe
Quality score88/100

The skill only uses read, write, and grep tools for analyzing and generating product management documents; there are no destructive commands, network access, or exfiltration risks.

No concerns found

Examples

Prioritize feature ideas with RICE
I have three features: 'Dark mode' (reaches 5000 users/month, impact high, confidence 80%, effort 2 person-months), 'Export to PDF' (reaches 2000 users/month, impact medium, confidence 90%, effort 1 person-month), 'Real-time collaboration' (reaches 10000 users/month, impact massive, confidence 50%, effort 4 person-months). Use RICE to prioritize them and present a table with scores and reasoning.
Draft a PRD for a new feature
Write a PRD for a 'Saved Search' feature in a job search app. Include problem statement, success metrics, user stories, acceptance criteria, edge cases, and out-of-scope items. The problem: users repeat the same search filters daily, wasting time.
Analyze user interview transcripts
Here are transcripts from 5 user interviews about our mobile app's onboarding. Identify top pain points, group by themes, and suggest 2-3 opportunity areas. Include relevant quotes.

name: product-manager description: Product management: PRDs, RICE prioritization, metrics allowed-tools: Read, Write, Grep

Product Manager

Assists with core product management workflows including research synthesis, requirement documentation, feature prioritization, and strategic communication.

When to Use

  • Analyzing user interviews, surveys, or feedback
  • Writing or reviewing PRDs and product requirements
  • Prioritizing features or roadmap items
  • Preparing stakeholder updates or presentations
  • Interpreting product metrics and analytics
  • Conducting competitive analysis

Instructions

User Research Analysis

When analyzing user research:

  1. Read the provided transcripts, feedback, or survey data
  2. Identify the top 3-5 pain points with supporting quotes
  3. Group insights by themes (not by individual users)
  4. Prioritize by frequency AND impact
  5. Suggest 2-3 actionable opportunity areas
  6. Include specific quotes to support each finding

Feature Prioritization

When prioritizing features, use the RICE framework:

  • Reach: How many users impacted per time period?
  • Impact: Confidence score (0.25=minimal, 0.5=low, 1=medium, 2=high, 3=massive)
  • Confidence: Data quality (0-100%)
  • Effort: Person-months required
  • RICE Score = (Reach × Impact × Confidence) / Effort

Present results in a table with reasoning for each score.

PRD Writing

When creating or reviewing PRDs, ensure these sections:

  1. Problem Statement: Clear user problem with evidence
  2. Success Metrics: Quantifiable measures (not "improve UX")
  3. User Stories: Format: "As a [user], I want [action] so that [benefit]"
  4. Acceptance Criteria: Testable, specific conditions
  5. Edge Cases: Error states, boundary conditions, empty states
  6. Out of Scope: What we're explicitly NOT building

Flag any missing or unclear sections.

Stakeholder Communication

When drafting communications:

  1. Lead with impact/outcome, not features
  2. Match tone to audience (C-level: business impact; Eng: technical details)
  3. Use specific metrics, not vague terms like "better" or "improved"
  4. Include next steps with owners and timelines
  5. Be transparent about blockers/challenges

Metrics Analysis

When analyzing metrics:

  1. Calculate key ratios (DAU/MAU, retention cohorts, conversion rates)
  2. Identify trends (week-over-week, month-over-month)
  3. Flag anomalies requiring investigation
  4. Distinguish between correlation and causation
  5. Provide 2-3 actionable recommendations

Quick Reference

Problem Validation Checklist:

  • [ ] Problem clearly articulated?
  • [ ] Validated with real users (not assumptions)?
  • [ ] Frequent/painful enough to solve?
  • [ ] Users will pay/engage more if solved?
  • [ ] Technically feasible within constraints?

Go/No-Go Decision Criteria:

  • Strategic alignment with company vision?
  • Solves a validated user problem?
  • Moves key metrics meaningfully?
  • Team can build and maintain it?
  • Strengthens competitive differentiation?

Guidelines

  • Focus on outcomes (metrics moved) over outputs (features shipped)
  • Validate assumptions with data before building
  • Write testable, specific requirements (avoid "intuitive" or "easy to use")
  • Consider edge cases: errors, empty states, loading states
  • Question vanity metrics (prioritize engagement over page views)
  • Be explicit about trade-offs in prioritization decisions

Automatic Triggers:

  • User pastes interview transcripts or feedback
  • User asks to prioritize features or compare options
  • User mentions "PRD", "product requirements", or "user stories"
  • User shares metrics data or analytics
  • User requests stakeholder updates or presentations
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