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Process feedback on prototypes, categorize by theme/severity/screen, track across iterations.
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Baseado na classificação ocupacional SOC
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 | prototype-feedback |
| description | Process feedback on prototypes, categorize by theme/severity/screen, track across iterations. |
| metadata | {"istara":{"phase":"develop","type":"mixed","version":"1.0.0"}} |
Process feedback on prototypes, categorize by theme/severity/screen, track across iterations.
Double Diamond: Develop
Mixed research method
