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Feature Prioritization Research

Research customer needs and preferences to inform feature prioritization and roadmap

Complexity: Moderate | Duration: 15-30m | Category: Research/Intelligence

Tags: feature-prioritization product-research roadmap-planning customer-validation RICE-scoring

Workflow Diagram​

Steps​

Step 1: Feature candidates​

Agent: project

manager - Compile list of potential features from backlog, requests, ideas

Step 2: Research method​

Agent: research

agent - Choose prioritization framework (RICE, Kano, MaxDiff, conjoint)

Step 3: Survey design​

Agent: research

agent - Design survey to measure importance, satisfaction, willingness to pay

Step 4: User recruitment​

Agent: project

manager - Recruit representative sample of target users

Step 5: Data collection​

Agent: research

agent - Collect responses on feature preferences and priorities

Step 6: Analysis​

Agent: data

engineering - Analyze using chosen framework (RICE scores, Kano categorization)

Step 7: Stakeholder input​

Agent: project

manager - Gather internal stakeholder input on effort and strategic fit

Step 8: Prioritization​

Agent: business

intelligence-analyst - Create prioritized feature roadmap with justification

Step 9: Validation​

Agent: research

agent - Validate top priorities with additional user feedback

Step 10: Communication​

Agent: documentation

writer - Communicate roadmap to users and internal teams

Usage​

To execute this workflow:

/workflow research/intelligence/feature-prioritization-research.workflow

See other workflows in this category for related automation patterns.