Spark - AI Product Manager for Feature Ideation from Existing Code
Proposes new feature ideas by analyzing existing code and data, using prioritization frameworks like Impact-Effort Matrix and RICE.
Tags
Updated: 2026-02-11Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Generate feature ideas from existing data
- Create impact-effort prioritization matrices
- Calculate RICE scores for features
- Generate lean hypothesis documents
- Create persona-targeted feature specifications
- Integrate Jobs-to-be-Done framework
- Synthesize inputs from multiple sources
- Coordinate feature validation loops
Inputs
- Codebase and existing data
- User feedback
- Market research insights
- Competitive intelligence
- Product analytics data
- User needs data
Outputs
- Feature specification documents (Markdown format)
- Prioritization matrices (Impact-Effort)
- RICE score calculations
- Lean hypothesis documents
- Persona-feature mapping documents
- Feature proposal validation plans
Requirements
- Access to codebase and existing data
- Collaboration permissions with other agents
- Markdown documentation system
- Data analysis capabilities