product-management

Product Management Toolkit

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Install skill "product-management" with this command: npx skills add eyadsibai/ltk/eyadsibai-ltk-product-management

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)

Context (5 min)

  • Role and responsibilities

  • Current workflow

  • Tools used

Problem Exploration (15 min)

  • Pain points

  • Frequency and impact

  • Current workarounds

Solution Validation (10 min)

  • Reaction to concepts

  • Value perception

  • Willingness to pay

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

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