product-management-archetype-mapping - SKILL.md Agent Skill

name: product-management-archetype-mapping description: A framework for auditing team composition and hiring based on five distinct PM archetypes. Use it when identifying talent gaps in your organization, designing the "Avengers" super-team, or aligning a PM's natural strengths with the specific needs of a business unit.

Product Management Archetype Mapping

Build a high-performance product organization by intentionally hiring for "spikes" in specific disciplines rather than looking for generic generalists. By balancing these five archetypes, you create a healthy tension between craft, growth, and business sustainability.

The Five PM Archetypes

Every PM has a primary archetype (their natural wiring) and a secondary archetype (their balancing skill).

1. The Consumer PM

Persona: Half-designer, half-product person.
Focus: Detail, delight, and craft.
Trigger: Use when the product requires high emotional resonance or "vibe" (e.g., Instagram filters, ChatGPT UI).
Key Behavior: Obsessing over being "three pixels off" or simplifying complex flows.

2. The Growth PM

Persona: Half-data scientist, half-product person.
Focus: Skepticism, experimentation, and rigorous logging.
Trigger: Use when you need to turn a working product into a rigorous, scalable system (the "1 to 10" phase).
Key Behavior: Asking "Why is this happening?" and demanding data to prove a hypothesis before shipping.

3. The Business/GM PM

Persona: Half-MBA, half-product person.
Focus: Margins, incentives, and marketplace dynamics.
Trigger: Use for products where the business model is the product (e.g., Uber pricing, marketplace supply/demand).
Key Behavior: Analyzing where value is created and how pricing affects ecosystem behavior.

4. The Platform PM

Persona: System builder.
Focus: Internal leverage and building tools for others.
Trigger: Use when building internal messaging systems, API layers, or infrastructure that allows the rest of the team to move faster.
Key Behavior: Abstracting complex operations (like airport pickups) into scalable, configurable venues.

5. The Research/AI PM (Model Designer)

Persona: Technical depth + product taste.
Focus: Shaping model behavior and post-training.
Trigger: Use when working directly with researchers to fine-tune AI models so the "vibe" of the model output matches the product's intent.
Key Behavior: Acting as the bridge between raw research intelligence and human-usable ergonomics.

How to Audit and Build the Team

Map the Current Inventory: List every PM in your org. Identify their primary and secondary archetypes.
Identify the Missing Spike: Determine what the business currently lacks. If you have great growth but the brand feels "cheap," you are missing a Consumer PM. If you have a beautiful product that no one uses, you are missing a Growth PM.
Engineer Healthy Tension: Intentionally pair opposites.
- Pair a Consumer PM (protects the craft) with a Growth PM (moves the numbers).
- Pair a Business PM (optimizes margins) with a Platform PM (builds the sustainable infrastructure to support those margins).
Hire for the "Spike": Stop hiring "well-rounded" candidates who are average at everything. Hire the person whose "slider" is at 100% for the specific archetype you are missing.

Examples

Example 1: Balancing Uber's Marketplace

Context: Uber needed to solve the "peace of mind" problem for riders going to the airport.
Application: Pair a Business PM to calculate the incentive needed for drivers to show up at 4:00 AM with a Consumer PM to design the "peace of mind" UI (e.g., warnings like "This pick-up time is cutting it close").
Output: Uber Reserve, a $5B+ high-margin business.

Example 2: Designing ChatGPT's Personality

Context: OpenAI needed the model to feel intuitive and helpful, not just smart.
Application: Created a specific Research/AI PM role (Model Designer) for a person with extreme technical depth and high product taste.
Output: A model that has a specific, consistent "vibe" and user-centric behavior beyond raw intelligence.

Common Pitfalls

Hiring generalists for specialists' problems: If you hire a generic PM for a Research/AI role, they won't have the technical depth to tell the researchers what to do in six months.
Misaligning Archetype to Market: Putting a high-craft Consumer PM into a heavily regulated, boring, or back-end industry where they will become frustrated by the lack of "pixel-polishing" opportunities.
Fearing Conflict: Assuming the debate between a Growth PM (who wants to test everything) and a Consumer PM (who wants a consistent vision) is a problem. This tension is the primary source of high-quality products.
Ignoring the Platform PM: Neglecting the tool-builder archetype until your codebase becomes "spaghetti," slowing down the entire organization.