Use case · Research
User interviews, transcribed and synthesized
The insight is rarely in one interview — it's the pattern across ten. Decibel transcribes every research session with speaker labels, auto-tags themes, and lets you ask questions across your entire study, so synthesis stops being a week of re-listening.
Accurate speaker labels
Diarization separates the moderator from the participant so quotes are attributed correctly — essential for clean research notes.
Chat across your study
Ask "what did people say about onboarding?" across every interview at once and get cited answers instead of re-reading transcripts.
Multilingual fieldwork
Hinglish, Tamil, Telugu, Marathi, Bengali, Kannada and 10+ global languages — interview in the language your users actually speak.
Themes that emerge on their own
Every note is tagged and linked into the knowledge graph. Recurring topics surface as connected clusters across sessions, giving you a head start on synthesis before you've opened a spreadsheet.
Quotes you can trust
Because transcription is speaker-aware and ~97% accurate on real conversations, the quotes you pull are attributable and verbatim — ready for a readout or a highlight reel.
In-lab or in the field
Run sessions over Zoom with the bot, or record in-person intercepts and home visits with the offline widget. Either way you get the same structured, searchable output.
Frequently asked questions
- Can I export transcripts for analysis?
- Yes — notes export as plain text or Markdown, and you can request a full data export of everything at any time.
- How private are sensitive interviews?
- Notes are private by default and encrypted in transit and at rest with AES-256. You control audio retention, and we never train models on your conversations.