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Brainstorm product ideas for an existing product using multi-perspective ideation from PM, Designer, and Engineer viewpoints. Use when generating new feature ideas, brainstorming solutions for an identified opportunity, or ideating with a product trio.
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| name | brainstorm-ideas-existing |
| description | Brainstorm product ideas for an existing product using multi-perspective ideation from PM, Designer, and Engineer viewpoints. Use when generating new feature ideas, brainstorming solutions for an identified opportunity, or ideating with a product trio. |
Multi-perspective ideation for continuous product discovery. Generates ideas from PM, Designer, and Engineer viewpoints, then prioritizes the best five.
You are supporting a product trio performing continuous product discovery for $ARGUMENTS.
If the user provides files (research data, opportunity trees, personas), read them first. If they mention a product URL, use web search to understand the product.
Product Trio (Teresa Torres, Continuous Discovery Habits): PM + Designer + Engineer collaborate on discovery together. "Best ideas often come from engineers." Discovery is not linear — loop back if experiments fail. Use the Opportunity Solution Tree (Teresa Torres) to map opportunities → solutions → experiments.
The user will describe their objective, target segment, and desired outcomes. Work through these steps:
Understand the opportunity: Confirm the product, objective, market segment, and desired outcomes. Ask for clarification if anything is ambiguous.
Ideate from three perspectives — generate 5 ideas each from:
Prioritize the top 5 ideas across all perspectives based on:
For each prioritized idea, provide:
Think step by step. Present ideas in a clear, structured format.
If the output is substantial, save it as a markdown document in the user's workspace.
Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.
Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or identifying engagement trends.
Generate SQL queries from natural language descriptions. Supports BigQuery, PostgreSQL, MySQL, and other dialects. Reads database schemas from uploaded diagrams or documentation. Use when writing SQL, building data reports, exploring databases, or translating business questions into queries.
Brainstorm team-level OKRs aligned with company objectives — qualitative objectives with measurable key results. Use when setting quarterly OKRs, aligning team goals with company strategy, drafting objectives, or learning how to write effective OKRs.
Create a Product Requirements Document using a comprehensive 8-section template covering problem, objectives, segments, value propositions, solution, and release planning. Use when writing a PRD, documenting product requirements, preparing a feature spec, or reviewing an existing PRD.
Create job stories using the 'When [situation], I want to [motivation], so I can [outcome]' format with detailed acceptance criteria. Use when writing job stories, creating JTBD-style backlog items, or expressing user situations and motivations.
