AI Prompts for Product Managers

A structured, version-controlled prompt library for Product Managers using GenAI across the product lifecycle.

Overview

This repo organizes proven PM prompts into a Claude Code–compatible skill structure. Each prompt is a standalone markdown template you can copy, customize, and run across Claude, ChatGPT, Gemini, GitHub Copilot, or any other AI assistant.

The library covers the full PM workflow — from customer discovery and competitive analysis through to stakeholder alignment, strategy, and executive communication. Every prompt follows the same structure: context, inputs, and a defined output format so you get consistent, usable results.

The library contains 16 categories, 55+ prompts, and 13 worked examples.

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Prompt Catalog

Architecture Diagrams

Generate technical diagrams directly from your codebase.

| Prompt | What it does | | --- | --- | | 01-sequence-diagram-from-repo | Create a sequence diagram from a code repository | | 02-uml-class-diagram-from-repo | Generate a UML class diagram showing classes, attributes, methods, and relationships from a GitHub repository | | 03-erd-from-repo | Generate an Entity Relationship Diagram showing entities, attributes, primary/foreign keys, and cardinality from a GitHub repository | | 04-flowchart-from-repo | Generate a flowchart capturing control flow, decision points, error paths, and terminal states for a process or feature in a GitHub repository |

Communications

Turn raw weekly notes into polished, executive-ready messages.

| Prompt | What it does | | --- | --- | | 01-weekly-leadership-update | Generate a structured Teams or Slack weekly update for VP and C-suite audiences | | 02-customer-meeting-to-team-update | Convert a customer meeting transcript into a structured leadership Slack update and optional Jira ticket descriptions — with environment, challenges, feedback, feature requests, next steps, and strategic signals |

Competitive Analysis

Understand your market position and close the gaps that matter.

| Prompt | What it does | | --- | --- | | 01-positioning-messaging | Analyze competitor positioning, value propositions, and SWOT | | 02-feature-comparison | Side-by-side feature comparison across competitors | | 03-target-customers | Identify and compare competitor target customer segments | | 04-capability-gap-analysis | Map gaps between your current capabilities, customer needs, and competitor offerings |

Customer Discovery

Go deeper with interviews, transcripts, surveys, and work items.

| Prompt | What it does | | --- | --- | | 01-interview-guide | Build a structured interview guide with probing questions and edge case coverage | | 02-blind-spot-detection | Identify assumptions and blind spots in your current understanding | | 03-research-synthesis | Synthesize findings across multiple research sources | | 04-problem-refinement | Sharpen a vague problem statement into specific, testable hypotheses | | 05-transcript-theme-analysis | Extract themes and patterns from interview transcripts | | 06-transcript-deep-dive | Deep analysis of a single interview transcript | | 07-jtbd-analysis | Jobs-to-be-done analysis from customer language | | 08-survey-open-ended | Analyze open-ended survey responses at scale | | 09-survey-segment-comparison | Compare survey results across customer segments | | 10-multi-source-patterns | Surface patterns across multiple research inputs simultaneously | | 11-sentiment-analysis-in-workitems | Structured sentiment analysis across Jira issues — flags escalation language, team health signals, and emerging themes |

Idea Evaluation

Score, stress-test, and prioritize ideas before committing resources.

| Prompt | What it does | | --- | --- | | 01-rice-scoring | Score and rank ideas using the RICE framework | | 02-pre-mortem | Identify ways an initiative could fail before it starts | | 03-assumption-mapping | Map and rank the assumptions your strategy depends on | | 04-validation-questions | Generate the questions you need to answer before building | | 05-kano-analysis | Classify features as Must-Have, Performance, Delighter, Indifferent, or Reverse | | 06-moscow-prioritization | Facilitate team prioritization using Must / Should / Could / Won't framework | | 07-opportunity-scoring | Apply Ulwick's Outcome-Driven Innovation model to determine whether a market is underserved or over-served — generate desired outcome statements, score importance vs. satisfaction, calculate opportunity scores, plot an opportunity landscape, and identify innovation vs. simplification targets |

Ideation

Generate and evaluate ideas systematically.

| Prompt | What it does | | --- | --- | | 01-problem-to-solution | Generate solution ideas from a problem statement | | 02-Ideation | Structured ideation session with divergent and convergent phases | | 03-scamper-analysis | Apply the SCAMPER technique to an existing product or feature | | 04-vrio-analysis | Assess competitive advantage using the VRIO framework | | 05-mece-analysis | Structure a problem space using MECE principles |

Market Research

Build a rigorous picture of your market and validate your assumptions.

| Prompt | What it does | | --- | --- | | 01-structured-market-analysis | Systematic analysis of market size, dynamics, and trends | | 02-evidence-and-contradictions | Surface evidence that supports and contradicts your market thesis | | 03-comprehensive-market-landscape | C-suite-ready landscape covering trends, SWOT, PESTLE, and information gaps from public sources |

Metrics

Define what success looks like before you build.

| Prompt | What it does | | --- | --- | | 01-feature-success-metrics | Define leading and lagging success metrics for a feature | | 02-ai-product-metrics | Comprehensive metrics framework for AI-driven products — latency, task completion, output quality, business value, and trust and safety |

PRDs

Write product requirements documents that engineering teams can act on.

| Prompt | What it does | | --- | --- | | 01-prd-generation | Generate a structured PRD in Amazon 6-pager style | | 02-use-case-documentation | Generate complete use case documentation — actor goals, preconditions, main flow, alternative flows, exception handling, business rules, NFRs, and Given/When/Then acceptance criteria | | 03-features-and-user-stories | Convert use case documentation into a sprint-ready backlog — features, user stories with full Given/When/Then criteria, story map, two-sprint plan, and INVEST health check | | 04-given-when-then | Generate a complete set of Given/When/Then acceptance criteria from any requirements or use case document — happy path, alternative flows, exception handling, edge cases, business rules, and NFRs — with full And chaining and But negative assertions | | 05-ai-prd | Generate a full AI Product Requirements Document — executive summary, problem statement, success metrics, AI features, data requirements, model requirements, UX and human interaction, ethical risk and compliance, milestones, and stakeholders | | 06-ears-prd | Generate a PRD where every requirement is expressed in EARS notation — Ubiquitous, Event-driven (WHEN … shall), State-driven (WHILE … shall), Unwanted behaviour (IF … THEN … shall), Optional feature (WHERE … shall), and Compound (WHEN … WHILE … shall … WHERE …) — with a traceability matrix, NFRs, and an acceptance summary |

Prototyping

Build and test prototypes across every fidelity level — from wireframes and mid-fi flows to AI feature stubs, Wizard of Oz sessions, and API-connected LLM prototypes.

| Prompt | What it does | | --- | --- | | 01-ui-prototype-spec | Generate a detailed UI prototype specification for vibe-coding tools | | 02-wireframe-brief | Generate a lo-fi wireframe brief — screen inventory, IA, and per-screen annotation for Balsamiq or Whimsical | | 03-mid-fi-flow-spec | Generate a grayscale mid-fi flow specification for Figma — navigation map, component inventory, and screen states | | 04-clickthrough-demo-script | Generate a scene-by-scene demo script and storyboard for Arcade, Loom, or Demostack | | 05-wizard-of-oz-protocol | Generate a complete Wizard of Oz test plan — roles, wizard playbook, session guide, and observation framework | | 06-prompt-powered-ui | Generate a ready-to-paste code-generation prompt for v0.dev, Claude Artifacts, or Lovable | | 07-ai-feature-stub | Generate a library of hardcoded AI outputs and a trust testing protocol for AI feature validation | | 08-agent-workflow-simulation | Generate a multi-step agentic workflow map with task decomposition, handoffs, and error paths | | 09-api-connected-prototype | Generate a spec for connecting a real LLM API to a rough front-end — system prompt, schema, and test scenarios | | 10-narrative-prototype | Generate a future-state narrative prototype and stakeholder validation plan | | 11-data-prototype-spec | Generate a data dashboard prototype spec — insight hypotheses, chart inventory, sample data, and user validation plan |

Release Notes

Generate clear, customer-friendly release notes from commit history.

| Prompt | What it does | | --- | --- | | 01-release-notes-generator | Generate release notes from a git commit log |

Stakeholder Management

Align people, clarify ownership, and move decisions forward.

| Prompt | What it does | | --- | --- | | 01-raci-stakeholder-map | Build a RACI matrix and stakeholder influence map with engagement strategies | | 02-daci-decision-framework | Document a product decision with clear Driver, Approver, Contributors, and Informed roles — prevents decision paralysis and revisiting |

Strategy

Set direction, communicate it clearly, and cascade it to your team.

| Prompt | What it does | | --- | --- | | 01-product-strategy-canvas | Build a nine-section strategy canvas covering vision, value proposition, competitive positioning, strategic bets, and success metrics | | 02-team-okr-generator | Cascade company OKRs into well-formed, measurable team OKRs with a health check and team communication draft | | 03-working-backwards | Write a working backwards plan — internal press release, customer FAQs, value statement, and success metrics — anchored in customer outcome before any build begins | | 04-amazon-pr-faq | Write a full Amazon-style Press Release and FAQ document — the discipline of announcing a finished product before building it, to force clarity on customer value before any code is written | | 05-dependency-identification | Identify and categorize all dependencies for a feature initiative across team, technical, product, regulatory, third-party, and timeline dimensions — with a risk-ranked dependency map and critical path | | 06-private-preview-plan | Generate a multi-phased private preview plan — dogfood, trusted pilot, expanded preview, and GA readiness gate — with cohort selection criteria, entry/exit gates, feedback loops, and a risk register | | 07-value-proposition | Design a rigorous value proposition canvas — customer jobs, pains, gains, pain relievers, gain creators — and stress-test it against problem-solution fit, product-market fit, and business model fit | | 08-big-rock-decomposition | Decompose a large initiative into a structured hierarchy of epics, features, and work items — with MVP identification, phased delivery plan, dependency map, critical path, and team allocation | | 11-launch-gates | Define and evaluate launch gates across Engineering, Security, Product, Documentation, Legal, and GTM — with a Go/No-Go scorecard, waiver register, meeting agenda, and post-release monitoring plan |

Synthetic Users

Create and interview AI-generated personas grounded in real customer data.

| Prompt | What it does | | --- | --- | | 01-create-synthetic-user | Create a detailed synthetic user persona | | `02-interview