Features
Interviewer: What made you decide to leave the program? Participant: Honestly, the commute. Two buses each way, and once my shift changed I could not make the evening sessions anymore, even though I wanted to finish.
Interviewer: What made you decide to leave the program? Participant: Honestly, the commute. Two buses each way, and once my shift changed I could not make the evening sessions anymore, even though I wanted to finish.
Interviewer: What made you decide to leave the program? Participant: Honestly, the commute. Two buses each way, and once my shift changed I could not make the evening sessions anymore, even though I wanted to finish.
Interviewer: What made you decide to leave the program? Participant: Honestly, the commute. Two buses each way, and once my shift changed I could not make the evening sessions anymore, even though I wanted to finish.
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Thematic Analysis
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Content Analysis
Get answers to questions
Frequency Analysis
Track key concepts, viewpoints, themes, and codes
Cross-segment Analysis
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Custom Reports
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Ask questions to your documents
AI Avatar Interviewer
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AI Transcription
Convert video/ speech to text with high accuracy
Document Translation
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Cohen's kappa
0.000
Chance-corrected agreement between the AI coder and your human review.
95% CI: 0.000 to 0.000
True positive accuracy
0.0%
Among AI-coded decisions, the share you confirmed as correct.
95% CI: 0.0% to 0.0%
True negative accuracy
0.0%
Among AI-not-coded decisions, the share you confirmed as correct.
95% CI: 0.0% to 0.0%
Accuracy by theme, sub-theme or code
124 of 124 reviewed · 115 correct · 9 wrong · 93% accuracy
| Code | Reviewed | Correct | Wrong | Accuracy |
|---|---|---|---|---|
| Jargon | 17 of 17 | 14 | 3 | 82% |
| Travel burden | 21 of 21 | 19 | 2 | 90% |
| Being listened to | 28 of 28 | 26 | 2 | 93% |
| Family support | 24 of 24 | 23 | 1 | 96% |
| Waiting times | 34 of 34 | 33 | 1 | 97% |
AI Accuracy & Inter-coder Agreement
Check the AI's coding against your own review, and report the statistics reviewers ask for
Codebook
Trust in clinicians · Being listened to
“She wrote everything down before she looked at me. I was the last thing in the room.”
rahul.k@university.edu
Coding this as relational trust rather than institutional trust — participants keep separating the two.
amara.m@university.edu
@rahul.k@university.edu I widened the definition after interview 3. Noting it here so the change stays on the record.
sofia.l@university.edu
My own clinical background may be shaping how I read this quote — revisit after the next round of coding.
Someone is writing a memo…
Research Memos & Reflexivity Journal
Keep analytic decisions and reflections attached to the theme, code, or quote they belong to
Codes(# documents/ participants)
Interview 07.docx
Context from AI: Participant contrasts this with an earlier consultation where the clinician started with a question.
Versioned Codebook & Audit Trail
Every codebook edit is saved as a version you can compare, attribute, and defend