product-operating-model（产品运营模式）

Modern Product Operating Model

"A modern product operating model starts with clear strategic intent, continuously discovers customer problems, turns them into value-based bets, structures solutions into product blocks and features, executes with tight GTM and measurement loops, and constantly feeds learning back into strategy."

This is a collection of 6 composable skills for product leadership. Each skill is standalone but designed to work together as a complete operating system.

Quick Start

Install the skill you need:

# Strategy: Where to play and how to win

# Discovery: What problems matter and what solutions might work

# Architecture: What are we building and why now

# Delivery: How do we ship, measure, and learn

# AI-Native: Building products with AI at the core

# Leadership: Operating as Director/CPO

Install the complete collection:

Progress Tracking

Display progress when navigating the operating model:

[████░░░░░░░░░░░░░░░░] 25% — Phase 1/4: Diagnosing Your Current Challenge
[████████░░░░░░░░░░░░] 50% — Phase 2/4: Selecting the Right Skill(s)
[████████████░░░░░░░░] 75% — Phase 3/4: Applying the Framework
[████████████████████] 100% — Phase 4/4: Connecting Skills into Operating Rhythm

The Four Systems

┌─────────────────────────────────────────────────────────────────┐
│                    STRATEGY SYSTEM                              │
│  "Where do we play and how do we win?"                          │
│  Cadence: Quarterly │ Skill: product-strategy                   │
├─────────────────────────────────────────────────────────────────┤
│                    DISCOVERY SYSTEM                             │
│  "What problems matter and what solutions might work?"          │
│  Cadence: Weekly │ Skill: product-discovery                     │
├─────────────────────────────────────────────────────────────────┤
│                    PRODUCT SYSTEM                               │
│  "What are we building and why now?"                            │
│  Cadence: Sprint-level │ Skill: product-architecture            │
├─────────────────────────────────────────────────────────────────┤
│                    DELIVERY SYSTEM                              │
│  "How do we ship, measure, and learn?"                          │
│  Cadence: Continuous │ Skill: product-delivery                  │
└─────────────────────────────────────────────────────────────────┘
                    ↑                              │
                    └──── Learning feeds back ─────┘

Overlay skills:

• ai-native-product — Modifications for AI-powered products
• product-leadership — Operating at Director/CPO level

Which Skill Do I Need?

Core Philosophy

What This Framework Believes

1. Strategy is choice, not documentation — If you haven't said no to something, you don't have a strategy
2. Prototypes over PRDs — A working prototype communicates more than any slide deck
3. Outcomes over outputs — Teams are accountable for results, not deliverables
4. Learning velocity is the meta-metric — The team that learns fastest wins
5. AI is baseline, not bonus — Coming to a meeting without AI-assisted prep is like coming without reading the doc
6. Focus is a superpower — 1-3 P0 priorities maximum

What This Framework Rejects

• PM Theater: Polishing documents nobody reads
• Decision by committee: Consensus produces mediocre products
• Annual planning fiction: You don't know what to build a year from now
• Process over product: If process doesn't serve the user, kill it
• Feature factories: Building what stakeholders request vs. solving real problems

The Learning Loop

The systems connect in a continuous learning loop:

STRATEGY defines where to play and how to win
    ↓
DISCOVERY finds problems worth solving
    ↓
PRODUCT structures bets and roadmap
    ↓
DELIVERY ships and measures
    ↓
LEARNING feeds back to STRATEGY
    ↑
    └─────────────────────────────────────┘

Information Flow

Three Operating Modes

Skill Collection

Core Skills

Overlay Skills

Templates Included

Each skill includes ready-to-use templates:

product-strategy:

• Strategy Canvas (1-page)
• ICP Scorecard
• Strategic Bet
• Positioning Statement

product-discovery:

• Interview Snapshot
• Opportunity Solution Tree
• Assumption Test

product-architecture:

• Block Portfolio
• Bet Backlog
• Solution Brief

product-delivery:

• Rollout Checklist
• Metrics Hierarchy
• Bet Retrospective

ai-native-product:

• Agency Graduation Checklist
• Calibration Plan

product-leadership:

• Portfolio Review
• Board Metrics
• Operating Rhythm

Using with Claude

For strategy work:

"Help me create a strategy canvas for [product]"
"Define ICP and Anti-ICP for [market]"
"Structure 3 strategic bets for [objective]"

For discovery work:

"Set up my weekly discovery rhythm"
"Build an OST for [outcome metric]"
"Design an assumption test for [hypothesis]"

For product architecture:

"Help me structure [product] into capability blocks"
"Convert this opportunity into a bet"
"Write a solution brief for [feature]"

For delivery:

"Plan a staged rollout for [feature]"
"Set up metrics hierarchy for [product]"
"Run a bet retrospective"

For AI products:

"I'm building an AI agent — what's different?"
"Help me plan agency graduation for [feature]"
"Set up continuous calibration"

For leadership:

"How do I allocate resources across products?"
"Prepare board-level metrics"
"Design my weekly operating rhythm"

Sources & Influences

This framework synthesizes insights from:

• Teresa Torres — Continuous Discovery Habits, Opportunity Solution Trees
• Marty Cagan — INSPIRED, EMPOWERED, Product Operating Model
• Richard Rumelt — Good Strategy Bad Strategy, Strategy Kernel
• April Dunford — Obviously Awesome, Positioning
• Gibson Biddle — Product strategy frameworks
• Lenny Rachitsky — PM research and interviews
• Aishwarya Goel & Kiriti Gavini — CCCD, Agency-Control Trade-off

About

Background: 13+ years in product leadership across semiconductors, LiDAR, autonomous vehicles, energy systems, and AI Philosophy: Learning velocity over planning perfection

License

MIT License — use freely, adapt to your context, share improvements.

*Modern Product Operating Model v1.0 — January 2026*