AI can suggest. Humans approve.

Guided qualitative analysis from transcripts to trusted findings.

Dalili Qual helps evaluation and research teams transcribe, anonymise, code, review themes, build evidence matrices, and export credible qualitative reports.

Project QA

Evidence readiness

Review quality before reporting

Pending review
Transcripts reviewed12 / 18
Codebook approvedPending
Themes approved6 / 10
Weak findings flagged3
Exports generated2

Platform strengths

Built for serious qualitative research

Guided by your own analysis plan

AI-assisted coding with human approval

Reviewable and downloadable codebooks

Theme review before findings are generated

Anonymisation by default

Evidence matrices and Word-compatible exports

Workflow

How it works

Upload

Add transcripts, audio, field notes, or survey responses.

Anonymise

Remove names and identifiers before reports are produced.

Code

Use your codebook or review AI-suggested codes.

Approve

Review themes and findings before they enter reports.

Export

Generate Word reports, codebooks, and evidence matrices.

Quality assurance

Quality assurance at the centre

Every finding should be linked to approved coded evidence. AI-generated codebooks and themes remain draft until a you approve them.