Cross-interview analysis
Compare evidence and participant responses across multiple research interviews without losing the original quote, interview, or research-question context.
Cross-interview analysis
ScribeFlash
Compare participants by research question
Find recurring themes and differences
Keep supporting and counter-evidence visible
Map transcript evidence to the question it helps answer, so comparisons stay aligned with the study objective instead of becoming a generic summary.
Review AI-suggested patterns across participants, then inspect the underlying evidence before confirming a research finding.
Attach both supporting evidence and counter-evidence to findings so the final analysis can show uncertainty and avoid hiding useful exceptions.
Correct each interview transcript before including it in analysis.
Connect quotes to tags, notes, and the primary research question.
Inspect patterns, differences, and suggested themes across interviews.
Accept, edit, merge, or reject suggestions and retain the evidence behind each decision.
Cross-interview analysis compares responses and evidence from multiple participants to identify themes, agreements, differences, and contradictions.
Yes. Evidence can be mapped to a primary research question so comparisons remain connected to the study objective.
Findings can include both supporting evidence and counter-evidence, along with confidence and limitations for researcher review.
Upload audio or video, get speaker labels, timestamps, and an editable transcript.
Learn moreTrace every AI-suggested finding to the original quote, transcript segment, timestamp, and interview.
Learn moreBuild editable reports from confirmed findings with supporting evidence.
Learn moreBring participant transcripts into one project and review patterns without losing source context.
