Upload interview recordings and let AI handle transcription, analysis, fact-checking, and synthesis. Move from raw audio to actionable research frameworks in hours instead of weeks.
Drag and drop MP3, WAV, or M4A files. Batch upload supported — process an entire interview program at once.
Deepgram nova-3 transcription with speaker diarization and word-level timestamps. Click any timecode to jump to that moment in the audio.
Structured summaries, forces extraction, and automatic fact-checking — every AI observation verified against the source transcript.
Build research frameworks, cluster themes across interviews, and generate stakeholder-ready presentations and exports.
No need for a separate transcription service. Bosco transcribes with speaker identification and word-level precision.
Automatically identifies who's speaking. Every paragraph is attributed to the correct speaker throughout the conversation.
Word-level and paragraph-level timestamps. Click any timecode to jump directly to that point in the audio player.
Export transcripts as plain text, VTT (for video players), or formatted PDF. Use whichever format your workflow needs.
AI generates a comprehensive structured summary the moment transcription completes — no manual work required.
A complete narrative summary of the conversation — what happened, what the customer said, and what it means for your research.
Structured metadata extracted automatically: role, company, industry, product used, experience level, and more.
Chronological journey mapping with numbered phases. See exactly how the customer moved from problem awareness to solution.
Chronological key notes with clickable timecodes, struggling moment identification, and notable verbatim quotes — all linked to the audio.
Automatically identifies pushes, pulls, habits, and anxieties from each interview — the core forces that shape why customers switch products.
Problems pushing away from the status quo. The pain points and frustrations that create demand for change.
Desired outcomes pulling toward a new solution. The hopes and aspirations that make change attractive.
Comfort with the current approach. The inertia and familiarity that resist change, even when better options exist.
Fears about switching. The risks, uncertainties, and worries that hold customers back from making a change.
Each extraction includes a confidence score. The AI rates how certain it is about each observation, so you can prioritize your review.
Every AI observation is verified against the original transcript. No hallucinated insights — every claim is traceable to the customer's exact words.
Approve, deny, edit, reorder, or add your own observations. Drag and drop between force types. The final analysis is always researcher-controlled.
Build job definitions, cluster themes, and generate reports that your whole team can act on.
Build complete research frameworks: job statement, scope (more about / less about), supporting forces, social/functional/emotional aspects, and trade-offs. Link quotes and observations directly from interviews with timestamps.
AI groups all approved push and pull forces across every interview into thematic clusters. Regenerate all clusters or only cluster uncategorized forces. Drag and drop to refine.
Auto-generated full-screen slideshows from all project data. Per-interview and per-job slides with overview, facts, journey, forces diagram, and supporting evidence.
Export everything: transcripts (TXT, VTT, PDF), summaries, forces, personal notes, full backup ZIPs. Generate project PDFs and LLM-ready briefing documents designed for uploading to ChatGPT or Claude.
A built-in AI chat assistant available at interview, project, and company scope. It has access to your transcripts, summaries, forces, and job definitions — and can search for specific quotes on demand.
Share findings across your organization with granular access controls.
Admin, researcher, and viewer roles. Give everyone the right level of access to your research.
Share projects company-wide, with specific users, or keep them private. Invite external stakeholders as project viewers via email.
Every researcher takes notes during interviews, then the team debriefs together — combining individual observations to collaboratively identify forces and patterns.
Upload your first interview and see AI-powered analysis in minutes. Free to start.
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