Qualitative analysis of co-creation workshops

Upload workshop audio, facilitator notes, scanned worksheets and consent forms to Evidano’s encrypted workspace. Evidano’s platform supports PII redaction and stores files without using your data to train third-party models (GDPR-aligned).

Use Evidano transcription with a custom dictionary (e.g., school names, local places) to improve accuracy for domain terms like 'PM2.5' or 'MIDAS'. Timestamped transcripts are preserved so every quote links to GPS/time exposure metadata.

Run AI-assisted thematic coding to generate candidate themes, then import or refine a codebook. Evidano produces theme frequencies, co-occurrence networks and hierarchical code → subcode trees to visualise consensus vs. minority ideas across schools or exposure strata.

Link qualitative themes to segments (high vs low pollution exposure, urban vs suburban schools, movement-behaviour profiles) and produce cross-tabular thematic prevalence and illustrative quotes for each segment to support tailored interventions.

Export stakeholder-ready reports (anonymous individual reports, school-level summaries, infographic-ready text). Use Evidano’s visualisations (word clouds, co-occurrence networks, hierarchical maps) to drive the final co-creation 'deliver' workshop with decision-makers.

Minute-level sensor data linked to transcripts elevates context: arguments and ideas from a workshop can be anchored to exposure hotspots and movement profiles, improving interpretability.

Evidano reduces manual coding time and produces reproducible theme-frequency matrices suitable for mixed-method reporting.

Segmented theme reports (by school, urban/suburban, high/low pollutant exposure) let you prioritise low-cost mitigations where they matter most, the stated goal of MOVE-AIR's co-creation phase.

MOVE-AIR is cross-sectional (no causal claims). All qualitative work with children requires assent + guardian consent and careful geoprivacy practices; Evidano supports PII redaction and encrypted storage for research-only use.

Evidano ingests transcripts, PDFs and survey spreadsheets and links them to time/location metadata so you can ask: which themes appear when children were near high PM2.5 hotspots?

Automated thematic proposals plus frequency and cross-segment analyses cut manual synthesis time dramatically, enabling faster co-creation cycles and evidence-backed options for schools.

Data is encrypted in transit and at rest; Evidano does not use your data to train external models, useful when handling sensitive child-location and health-linked transcripts.