Strategic Product Management Frameworks

# Strategic Product Management Frameworks

**AI-assisted tools for both strategic thinking and practical execution in product management**

This collection helps you with both the strategic work (market positioning, customer discovery, competitive analysis) and the execution work (user stories, requirements, stakeholder communication). Each prompt creates a guided conversation with AI to help you think through problems systematically.

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## How These Actually Work

These aren't fill-in-the-blank templates. They're structured conversations with AI that help you think through complex problems step by step.

**The approach:**
- AI asks you questions to understand your specific situation
- Context builds gradually instead of overwhelming you upfront
- Built-in quality control - AI knows when to ask for missing information
- Based on proven PM frameworks like Jobs-to-be-Done, Value Proposition Canvas, etc.

**The teaching layer:**
Every prompt has comment blocks that teach you how to work better with AI. When you view the raw code, you'll see:
```markdown

```
Read these comments first - they'll help you understand not just what to do, but why it works.

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## What's Available

### Strategic Foundation
Core frameworks for product strategy and market positioning:

| Prompt | Best For | Framework Used |
|--------|----------|----------------|
| **[jobs-to-be-done.md](jobs-to-be-done.md)** | Understanding what customers are really trying to accomplish | Osterwalder Value Prop Canvas |
| **[positioning-statement.md](positioning-statement.md)** | Clarifying how you compete and win | Geoffrey Moore framework |
| **[framing-the-problem-statement.md](framing-the-problem-statement.md)** | Defining the right problem to solve | Problem framing methodology |

### Customer Discovery & Research  
Tools for understanding markets and customers:

| Prompt | Best For | Framework Used |
|--------|----------|----------------|
| **[proto-persona-profile.md](proto-persona-profile.md)** | Creating initial customer profiles | Proto-persona canvas |
| **[customer-journey-mapping-prompt-template.md](customer-journey-mapping-prompt-template.md)** | Mapping the full customer experience | Customer journey methodology |
| **[company-profile-executive-insights-research.md](company-profile-executive-insights-research.md)** | Competitive intelligence and market analysis | Market analysis framework |

### Requirements & Execution
Structured approaches to defining what to build:

| Prompt | Best For | Framework Used |
|--------|----------|----------------|
| **[user-story-prompt-template.md](user-story-prompt-template.md)** | Writing clear, testable user stories | Mike Cohn + Gherkin format |
| **[user-story-splitting-prompt-template.md](user-story-splitting-prompt-template.md)** | Breaking down large stories effectively | Story splitting techniques |
| **[backlog-epic-hypothesis.md](backlog-epic-hypothesis.md)** | Defining epics with testable hypotheses | Hypothesis-driven development |

### Market Analysis & Planning
Research and analytical frameworks for strategic decisions:

| Prompt | Best For | Framework Used |
|--------|----------|----------------|
| **[pestel-analysis-prompt-template.md](pestel-analysis-prompt-template.md)** | Understanding macro-market forces | PESTEL framework |
| **[recommendation-canvas-template.md](recommendation-canvas-template.md)** | Building business cases for decisions | Business case methodology |
| **[reverse-engineer-IEEE830srs-to-PRD-prompt-template.md](reverse-engineer-IEEE830srs-to-PRD-prompt-template.md)** | Translating technical requirements | IEEE 830 standards |

### Communication & Vision
Tools for stakeholder alignment and storytelling:

| Prompt | Best For | Framework Used |
|--------|----------|----------------|
| **[visionary-press-release.md](visionary-press-release.md)** | Working backwards from customer value | Amazon Working Backwards |
| **[storyboard-storytelling-prompt.md](storyboard-storytelling-prompt.md)** | Creating compelling product narratives | Storyboarding methodology |
| **[futuristic-product-faq.md](futuristic-product-faq.md)** | Anticipating stakeholder questions | FAQ development process |

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## Getting Started

### If you're new to AI-assisted PM work
1. **Start simple** - Try [positioning-statement.md](positioning-statement.md) or [jobs-to-be-done.md](jobs-to-be-done.md)
2. **Read the comments first** - They teach you how to think with AI strategically
3. **Answer questions thoroughly** - Better context leads to better insights
4. **Iterate** - Use AI's follow-up questions to go deeper

### If you're comfortable with AI
1. **Study the structure** - Notice how questions build strategic context
2. **Customize for your situation** - Adapt prompts for your industry and company
3. **Combine approaches** - Use multiple prompts for comprehensive analysis
4. **Create your own variations** - Build on these patterns for unique challenges

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## Why This Approach Works

**Context before content** - AI understands your specific situation before generating generic advice

**Framework-guided thinking** - Uses proven PM methodologies like Jobs-to-be-Done, PESTEL, Value Prop Canvas

**Progressive discovery** - Builds complexity gradually instead of overwhelming you upfront

**Built-in quality control** - AI knows when to ask for missing information and how to validate assumptions

---

- **Industry-specific examples** - Add scenarios common in your domain
- **Organizational context** - Modify for your company's decision-making process
- **Stakeholder language** - Adapt terminology for your audience
- **Tool integration** - Reference your specific tools (Jira, Figma, etc.)

### Building Your Own Variations
1. **Keep the comment structure** - Maintain the teaching methodology
2. **Preserve the conversational flow** - One question at a time works best
3. **Add your domain expertise** - Include frameworks specific to your industry
4. **Test across platforms** - Make sure it works in ChatGPT, Claude, and Gemini

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## Getting Better Results

### Before You Start
- **Gather context** - Have relevant docs, data, or examples ready
- **Know your objective** - What decision are you trying to make?
- **Plan to iterate** - These are starting points, not final answers

### During Your Session
- **Take time with AI questions** - Don't rush through the conversation
- **Ask follow-ups** - "What else should I consider?"
- **Challenge assumptions** - "What are the risks with this approach?"
- **Explore alternatives** - "What other frameworks might apply?"

### After Your Session
- **Validate with real people** - AI provides analysis, humans make decisions
- **Document what you learned** - What worked? What would you change?
- **Share insights** - Help others learn from your experience

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## Contributing to This Collection

Found a gap? Built something useful? Share it.

### What We're Looking For
- Real PM problems you've solved using these approaches
- Framework improvements based on your testing
- Industry-specific adaptations of existing prompts
- Better teaching approaches in the comment sections

### How to Contribute
1. Study existing patterns - Notice the comment-driven teaching approach
2. Test thoroughly - Validate across ChatGPT, Claude, and Gemini
3. Focus on learning - How does your prompt teach strategic thinking?
4. Follow the style - Conversational flow with rich teaching comments

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*Remember: The goal isn't to replace your strategic thinking. It's to help you think through complex problems more systematically.*

**Ready to tackle a strategic challenge? Pick a prompt that matches your current situation and give it a try.**

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*This prompt is adapted from [Product Manager Prompts](https://github.com/deanpeters/product-manager-prompts) by Dean Peters (MIT License).*