Situational orchestrator that turns raw qualitative (and mixed qual+quant) research — interview transcripts, field notes, diary entries, open survey text, session recordings — into traceable themes, calibrated insights, user need statements, and How-Might-We questions. Reads the DECISION + data type
Situational orchestrator that turns raw qualitative (and mixed qual+quant) research — interview transcripts, field notes, diary entries, open survey text, session recordings — into traceable themes, calibrated insights, user need statements, and How-Might-We questions. Reads the DECISION + data type + problem, then SELECTS a synthesis approach from a menu (thematic coding · affinity · framework-ma