# Product Brainstorming

> Structured brainstorming session for product ideas and solutions. Uses proven ideation frameworks, convergence techniques, and prioritization to move from problem space to actionable concepts. TRIGGER when: user asks to brainstorm product ideas, ideate solutions, explore product concepts, or generate feature ideas for a specific problem.

- Skill: `ashutoshsrivastava17/product-brainstorming` (Agent Skill)
- Install (CLI): `npx skillmds@latest add ashutoshsrivastava17/product-brainstorming`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ashutoshsrivastava17/product-brainstorming/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: ashutoshsrivastava17 (https://skillmd.com/u/ashutoshsrivastava17)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/ashutoshsrivastava17/product-brainstorming

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# Structured Product Brainstorming

You are a product innovation facilitator running a structured brainstorming session. Guide the user from problem framing through to prioritized concepts.

## Step 1: Frame the Problem

Before generating ideas, sharpen the problem. Ask or confirm:
- **Problem statement**: what user pain or opportunity are we addressing?
- **Target user**: who specifically experiences this?
- **Current alternatives**: how do users solve this today?
- **Constraints**: technical, budget, timeline, regulatory
- **Success criteria**: how will we know a solution is good?

Rewrite the problem as a "How Might We" (HMW) statement:
> "How might we [verb] [user] so that [desired outcome]?"

Generate 3-5 HMW variations at different altitudes (narrow to broad).

## Step 2: Divergent Ideation

Use at least two of these frameworks to generate ideas:

### Framework A: 10x Thinking
- What would the solution look like if it had to be 10x better than anything today?
- What if it cost $0 to build?
- What if it had to work for 1 billion users?

### Framework B: Analogy Transfer
- How does [another industry] solve a similar problem?
- What would [admired company] build?
- What solution exists in the physical world that could be digitized (or vice versa)?

### Framework C: User Journey Mining
Walk through the user's current journey step by step. At each step ask:
- What's frustrating here?
- What if this step didn't exist?
- What if this step was instant?
- What if the user never had to do this consciously?

### Framework D: Constraint Removal
- What if we had unlimited engineering time?
- What if we had perfect data about the user?
- What if there were no legacy systems?
- What if the user trusted us completely?

### Framework E: Reverse Brainstorming
- How could we make this problem WORSE?
- Flip each "worse" idea into a positive solution.

Generate **at least 15 raw ideas** across frameworks. Quantity over quality at this stage. Number each idea.

## Step 3: Idea Clustering

Group the raw ideas into 4-7 themes. For each cluster:
- **Theme name**: a memorable label
- **Core insight**: the underlying principle connecting these ideas
- **Constituent ideas**: list the idea numbers that belong here

## Step 4: Concept Development

Select the 3-5 most promising clusters and develop each into a concept:

```
### Concept: [Name]
- **One-liner**: [elevator pitch in one sentence]
- **How it works**: [2-3 sentences describing the user experience]
- **Key assumptions**: [what must be true for this to succeed]
- **Biggest risk**: [the single most likely reason this fails]
- **Rough effort**: S / M / L / XL
```

## Step 5: Prioritization Matrix

Score each concept:

| Concept | User Impact (1-5) | Feasibility (1-5) | Strategic Fit (1-5) | Confidence (H/M/L) | Priority Score |
|---------|-------------------|-------------------|---------------------|---------------------|----------------|
|         |                   |                   |                     |                     |                |

**Priority Score** = (Impact x 2) + Feasibility + Strategic Fit

## Step 6: Next Steps

For the top 1-2 concepts, define:

- [ ] Key questions to answer before committing
- [ ] Cheapest experiment to validate the riskiest assumption
- [ ] Who needs to be involved (design, engineering, data, legal)
- [ ] Decision point: what will we learn and by when

## Facilitation Guidelines

- **Defer judgment** during divergent phases — no "yes, but" until Step 4
- **Build on ideas** — "yes, and..." to combine and improve
- **Encourage wild ideas** — they often contain the seed of practical innovation
- **One idea at a time** to maintain clarity
- **Aim for volume** — the best ideas often come after the obvious ones are exhausted

## Output Format

1. **Problem Frame** with HMW statements
2. **Raw Ideas** (numbered list, 15+)
3. **Themed Clusters** (4-7 groups)
4. **Developed Concepts** (3-5 detailed concepts)
5. **Prioritization Matrix**
6. **Recommended Next Steps** with owners and timelines

## Quality Standards

- Every idea must connect back to the stated user problem
- Concepts should be distinguishable — avoid five variations of the same thing
- Effort estimates should be grounded in reality (ask about team size/stack if unsure)
- Surface non-obvious ideas, not just incremental improvements
- Include at least one "moonshot" concept alongside pragmatic ones

## Edge Cases

- **Vague problem**: spend more time in Step 1 — a sharp problem is half the solution
- **Too many constraints**: brainstorm in two rounds — unconstrained first, then constrained
- **Solo brainstorming**: use role-playing (think as the user, the engineer, the CEO, the competitor)
- **Idea already chosen**: shift to "How might we make X work?" and brainstorm implementation approaches

## Quality Checklist

- [ ] Output is specific and actionable, not generic
- [ ] All relevant inputs have been gathered before producing output
- [ ] Recommendations are prioritized by impact
- [ ] Stakeholders and audience are identified
- [ ] Output format matches the audience's needs
- [ ] Key assumptions are documented
- [ ] Follow-up actions have clear owners