Agent Skills: Product Management Toolkit

Use when "RICE prioritization", "feature prioritization", "PRD writing", "user stories", or asking about "product roadmap", "customer interviews", "sprint planning", "backlog grooming"

UncategorizedID: eyadsibai/ltk/product-management

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plugins/ltk-product/skills/product/product-management/SKILL.md

Skill Metadata

Name
product-management
Description
Use when "RICE prioritization", "feature prioritization", "PRD writing", "user stories", or asking about "product roadmap", "customer interviews", "sprint planning", "backlog grooming"
<!-- Adapted from: claude-skills/product-team/product-manager-toolkit -->

Product Management Toolkit

Feature prioritization, PRDs, and product discovery frameworks.

When to Use

  • Prioritizing feature backlog
  • Writing product requirements
  • Analyzing customer interviews
  • Planning sprints and roadmaps
  • Making data-driven product decisions

RICE Prioritization

Formula

Score = (Reach × Impact × Confidence) / Effort

| Factor | Scale | |--------|-------| | Reach | Users per quarter | | Impact | Massive=3, High=2, Medium=1, Low=0.5, Minimal=0.25 | | Confidence | High=100%, Medium=80%, Low=50% | | Effort | Person-months |

Example

| Feature | Reach | Impact | Confidence | Effort | Score | |---------|-------|--------|------------|--------|-------| | User Dashboard | 500 | 3 (massive) | 80% | 5 | 240 | | Dark Mode | 300 | 1 (medium) | 100% | 2 | 150 | | API Rate Limiting | 1000 | 2 (high) | 90% | 3 | 600 |

Value vs Effort Matrix

           Low Effort    High Effort

High       QUICK WINS    BIG BETS
Value      [Prioritize]  [Strategic]

Low        FILL-INS      TIME SINKS
Value      [Maybe]       [Avoid]

PRD Template

# Feature: [Name]

## Problem Statement
What problem are we solving? For whom?

## Success Metrics
- Primary: [Metric and target]
- Secondary: [Supporting metrics]

## User Stories
As a [user], I want [capability] so that [benefit].

## Requirements
### Must Have (P0)
- [Requirement 1]

### Should Have (P1)
- [Requirement 2]

### Out of Scope
- [Explicit exclusion]

## Design
[Link to designs or wireframes]

## Technical Approach
[High-level technical approach]

## Timeline
- Phase 1: [Scope] - [Date]
- Phase 2: [Scope] - [Date]

## Open Questions
- [Question 1]

Customer Interview Framework

Structure (35 min)

  1. Context (5 min)

    • Role and responsibilities
    • Current workflow
    • Tools used
  2. Problem Exploration (15 min)

    • Pain points
    • Frequency and impact
    • Current workarounds
  3. Solution Validation (10 min)

    • Reaction to concepts
    • Value perception
    • Willingness to pay
  4. Wrap-up (5 min)

    • Other thoughts
    • Referrals

Analysis Framework

Extract from each interview:

  • Pain points with severity (high/medium/low)
  • Feature requests with priority
  • Jobs to be done patterns
  • Key quotes for stakeholder communication

Sprint Planning

Capacity Planning

Sprint Capacity = Team Size × Days × Velocity Factor

Example:
5 engineers × 10 days × 0.7 = 35 story points

Story Point Guidelines

| Points | Complexity | Example | |--------|------------|---------| | 1 | Trivial | Copy change | | 2 | Simple | Add field to form | | 3 | Medium | New API endpoint | | 5 | Complex | New feature with UI | | 8 | Very Complex | Integration with external service | | 13 | Epic-level | Break down further |

MoSCoW Method

  • Must Have: Critical for launch
  • Should Have: Important but not critical
  • Could Have: Nice to have
  • Won't Have: Out of scope (this release)

Metrics Framework

North Star Metric

  • What's the #1 value to users?
  • Is it measurable and actionable?
  • Does it predict business success?

Feature Success Metrics

  • Adoption: % users using feature
  • Frequency: Usage per user per week
  • Retention: Continued usage over time
  • Satisfaction: NPS/CSAT for feature

Best Practices

Writing PRDs

  • Start with problem, not solution
  • Include clear success metrics
  • Explicitly state what's out of scope
  • Use visuals (wireframes, flows)

Prioritization

  • Mix quick wins with strategic bets
  • Account for dependencies
  • Buffer for unexpected work (20%)
  • Revisit quarterly

Discovery

  • Ask "why" 5 times
  • Focus on past behavior, not intentions
  • Look for emotional reactions
  • Validate with data