From coded segments to a living matrix | DATASPHERES AI - Dataspheres AI

Datasets are typed tables (text, select, number, date...) that everything else can read. Two that every qualitative study wants: Coded-segments matrix - ...

Datasets are typed tables (text, select, number, date...) that everything else can read. Two that every qualitative study wants: Coded-segments matrix - one row per application: document · site · language · theme · code · quote · memo · confidence. Cross-case comparison becomes a filter, not a project. Participant profiles - one row per participant, stated facts only , each backed by a verbatim evidence quote; write "not stated" rather than inferring age from context or nationality from language. The datasets surface - typed schemas, row counts, everything chartable and chattable. Survey imports Qualtrics/CSV exports (multiline quoted fields and all) load into datasets alongside interview data - open-text answers can enter the same coding pipeline as transcripts, giving you a mixed-methods matrix in one place.