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Impact vs Effort scoring, MoSCoW prioritization, stakeholder alignment.
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Based on SOC occupation classification
Auto-cluster research nuggets and notes into themes. Users can refine groupings interactively.
Create Says/Thinks/Does/Feels quadrants from interview data, identify contradictions.
Generate 'How Might We' statements from insights, score by impact/feasibility.
Build end-to-end journey maps with stages, actions, emotions, pain points, opportunities — all linked to evidence.
Extract JTBD statements from research, identify functional/emotional/social jobs.
Thematic analysis with Cohen's/Fleiss' Kappa intercoder reliability. Supports agent-only, human-only, or agent+human coding with reliability measurement.
| name | prioritization-matrix |
| description | Impact vs Effort scoring, MoSCoW prioritization, stakeholder alignment. |
| metadata | {"istara":{"phase":"define","type":"quantitative","version":"1.0.0"}} |
Impact vs Effort scoring, MoSCoW prioritization, stakeholder alignment.
Double Diamond: Define
Quantitative research method
