Structured problem framing workshop using MITRE's three-phase canvas to challenge assumptions before solutioning.
Works with
Guides teams through Look Inward (examine biases and assumptions), Look Outward (understand who experiences the problem and who's been left out), and Reframe (synthesize into actionable problem statement and \"How Might We\" question)
Surfaces overlooked stakeholders, marginalized voices, and who benefits from the problem existing, ensuring equity-driven framing
Produces
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionproblem-framing-canvasExecute the skills CLI command in your project's root directory to begin installation:
Fetches problem-framing-canvas from deanpeters/product-manager-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate problem-framing-canvas. Access via /problem-framing-canvas in your agent's command palette.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Guide product managers through the MITRE Problem Framing Canvas process by asking structured questions across three phases: Look Inward (examine your own assumptions and biases), Look Outward (understand who experiences the problem and who doesn't), and Reframe (synthesize insights into an actionable problem statement and "How Might We" question). Use this to ensure you're solving the right problem before jumping to solutions—avoiding confirmation bias, overlooked stakeholders, and solution-first thinking.
This is not a solution brainstorm—it's a problem framing tool that broadens perspective, challenges assumptions, and produces a clear, equity-driven problem statement.
The Problem Framing Canvas (MITRE Innovation Toolkit, v3) is a structured framework that helps teams explore a problem space comprehensively before proposing solutions. It's partitioned into three areas:
┌─────────────────────────────────────────────────────────────────┐
│ LOOK INWARD │
│ - What is the problem? (symptoms) │
│ - Why haven't we solved it? (new, hard, low priority, etc.) │
│ - How are we part of the problem? (assumptions, biases) │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ LOOK OUTWARD │
│ - Who experiences the problem? When/where/consequences? │
│ - Who else has it? Who doesn't have it? │
│ - Who's been left out? │
│ - Who benefits when problem exists/doesn't exist? │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ REFRAME │
│ - Stated another way, the problem is: [restatement] │
│ - How might we [action] as we aim to [objective]? │
└─────────────────────────────────────────────────────────────────┘
Use workshop-facilitation as the default interaction protocol for this skill.
It defines:
Other (specify) when useful)This file defines the domain-specific assessment content. If there is a conflict, follow this file's domain logic.
Use template.md for the full fill-in structure.
This interactive skill follows a three-phase process, asking adaptive questions in each phase.
Agent suggests:
Before we frame your problem, let's gather context:
Problem Context:
Stakeholder Context:
You can paste this content directly, or describe the problem briefly.
Goal: Examine your own assumptions, biases, and how you might be part of the problem.
Agent asks: "What is the problem as you currently understand it? Describe the symptoms."
Offer 4 enumerated options:
Or describe your problem/symptoms.
User response: [Selection or custom]
Agent extracts:
Agent asks: "Why hasn't this problem been solved yet?"
Offer 6 enumerated options (can select multiple):
Or describe your own reason.
User response: [Selection or custom]
Agent captures:
Agent asks: "How might you (or your team) be part of the problem? What assumptions or biases are you bringing?"
Offer 4 enumerated options:
Or describe your specific assumptions/biases.
User response: [Selection or custom]
Agent captures:
Goal: Understand who experiences the problem, who benefits from it, and who's been left out.
Agent asks: "Who experiences this problem? When and where do they experience it? What consequences do they face?"
Agent prompts user to describe:
Adaptation: Use personas from context (proto-personas, JTBD, customer research)
User response: [Detailed description]
Agent captures:
Agent asks: "Who else has this problem? (Colleagues, competitors, other domains?) And who doesn't have it?"
Agent prompts:
User response: [Detailed description]
Agent captures:
Agent asks: "Who's been left out of the conversation so far? And who benefits when this problem exists or doesn't exist?"
Agent prompts:
Example:
User response: [Detailed description]
Agent captures:
Goal: Synthesize insights into a clear, actionable problem statement and "How Might We" question.
Agent says: "Based on everything we've explored, let's restate the problem in a new way."
Agent generates a refined problem statement using insights from Phases 1-2:
Template: "The problem is: [Who] struggles to [accomplish what] because [root cause], which leads to [consequence]. This affects [specific segments] and has been overlooked because [bias/assumption from Phase 1]."
Example (SaaS onboarding): "The problem is: Non-technical small business owners struggle to activate our product during onboarding because we use jargon-heavy UI and lack guided workflows, which leads to 60% abandonment within 24 hours. This disproportionately affects solopreneurs without technical support, and has been overlooked because our team optimizes for enterprise users who have IT departments."
Agent asks: "Does this restatement capture the core problem? Should we refine it?"
User response: [Approve or modify]
Agent says: "Now let's make it actionable with a 'How Might We' statement."
Template: "How might we [action that addresses the problem] as we aim to [objective/desired condition]?"
Example (SaaS onboarding): "How might we guide non-technical users through onboarding with plain-language prompts as we aim to increase activation from 40% to 70%?"
Agent asks: "Does this HMW statement set up the right solution space? Should we adjust?"
User response: [Approve or modify]
After completing the flow, the agent outputs:
# Problem Framing Canvas: [Problem Name]
**Date:** [Today's date]
---
## Phase 1: Look Inward
### What is the problem? (Symptoms)
[Description from Q1]
### Why haven't we solved it?
- [Barrier 1 from Q2]
- [Barrier 2]
- [Barrier 3]
### How are we part of the problem? (Assumptions & biases)
- [Assumption 1 from Q3]
- [Assumption 2]
- [Assumption 3]
**Which of these might be redesigned, reframed, or removed?**
[Reflection on biases to challenge]
---
## Phase 2: Look Outward
### Who experiences the problem?
**Who:** [Personas/segments from Q4]
**When/Where:** [Context]
**Consequences:** [Impact on users]
**Lived experience varies:** [How different users experience it differently]
### Who else has this problem?
**Who else:** [Examples from Q5]
**How they deal with it:** [Workarounds]
### Who doesn't have it?
[Counter-examples from Q5]
### Who's been left out?
[Marginalized voices from Q6]
### Who benefits?
**When problem exists:** [Beneficiaries of status quo]
**When problem doesn't exist:** [Who loses if solved]
---
## Phase 3: Reframe
### Stated another way, the problem is:
[Refined problem statement from Q7]
### How Might We...
**How might we** [action from Q8] **as we aim to** [objective from Q8]?
---
## Next Steps
1. **Validate with users:** Use `skills/discovery-interview-prep/SKILL.md` to test reframed problem with customers
2. **Generate solutions:** Use `skills/opportunity-solution-tree/SKILL.md` to explore solution space
3. **Create problem statement:** Use `skills/problem-statement/SKILL.md` to formalize for PRD/roadmap
4. **Identify opportunities:** Use HMW statement to brainstorm solution ideas
---
**Ready to explore solutions? Let me know if you'd like to refine the problem framing or move to solution generation.**
See examples/sample.md for full problem framing examples.
Mini example excerpt:
**Look Inward:✓Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
✓Save 3-5 hours/week on communication overhead
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
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4.4★★★★★66 reviews- OOlivia Iyer★★★★★Dec 28, 2024
problem-framing-canvas reduced setup friction for our internal harness; good balance of opinion and flexibility.
- AArjun Desai★★★★★Dec 28, 2024
We added problem-framing-canvas from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- YYusuf Sharma★★★★★Dec 20, 2024
problem-framing-canvas fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- KKwame Malhotra★★★★★Dec 16, 2024
problem-framing-canvas is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- YYusuf Jain★★★★★Dec 16, 2024
problem-framing-canvas reduced setup friction for our internal harness; good balance of opinion and flexibility.
- FFatima Harris★★★★★Dec 12, 2024
Solid pick for teams standardizing on skills: problem-framing-canvas is focused, and the summary matches what you get after install.
- DDhruvi Jain★★★★★Dec 4, 2024
problem-framing-canvas has been reliable in day-to-day use. Documentation quality is above average for community skills.
- YYusuf Shah★★★★★Dec 4, 2024
Solid pick for teams standardizing on skills: problem-framing-canvas is focused, and the summary matches what you get after install.
- AAisha Bhatia★★★★★Dec 4, 2024
problem-framing-canvas has been reliable in day-to-day use. Documentation quality is above average for community skills.
- OOshnikdeep★★★★★Nov 23, 2024
problem-framing-canvas reduced setup friction for our internal harness; good balance of opinion and flexibility.
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