The depth of an interview.The scale of a survey.Built however you want.
The infrastructure for structured AI conversations.
Adaptive experience
Every answer is only as good as the way you collect it.
Design interfaces that meet your users in their environment. Use our pre-built Debriefer interface or craft your own using our components and APIs.
At home or work
Voice + UI
In a library
Text + UI
UI mode
Hands-free in a car
Voice only
Debriefer
incoming call...
At home or work
Voice + UI
In a library
Text + UI
UI mode
In a car
Voice only
Debriefer
incoming call...
Made for the real world
Meet your users where they are. Voice-first, but not voice-only. The conversation adapts to every person and every environment.
Sales debriefs
Reps talk between meetings. Structured data lands in your CRM. No typing, no forms, no friction.
Accessible by default
Voice for those who can't type. Chat for those who won't talk. Every respondent gets the interface that works for them.
Academic research
An AI agent that probes, follows up, and holds methodological rigour across hundreds of interviews simultaneously.
Customer feedback
Embedded directly in your product. Triggered by what users do. A conversation, not a survey link they'll ignore.
Product discovery
Show prototypes, present options, and ask why. The agent probes where answers are thin. You get themes, not spreadsheets.
Field team debriefs
Between jobs, behind the wheel. Voice-first because a clipboard still needs someone to type it all up later.
Internal operations
Compliance checks, incident reports, audit trails. Structured and evidenced, captured through conversation.
Design and deploy interviews
Go from idea to live interview in minutes. Design a blueprint, generate a link or set up a call, and start collecting. From your chat agent, your own code, or our visual editor.
Connect the Debriefer MCP server and your AI agent can design, launch, and retrieve interviews mid-conversation. No context switching. The interview happens inside the flow your user is already in. From ChatGPT to Slack.
I need to debrief the sales team on last week's client visits. Can you set that up?
I've put together a sales visit debrief interview. It covers client identification, meeting quality, key insights, and collects supporting material. Here's the blueprint:
Which client did you visit?
AutocompleteHow did the meeting go based on our expectations? I can assist you calculate a rating if you need help.
Rating1-5 scaleWere all attendees well prepared? And if not, what was missing that would help next time?
QualitativeIf rating < 3, probe on blockers
BranchAny photos or documents?
MediaWhat was the most valuable insight?
QualitativeWant to make any changes? Or do you want me to send this to your team of 12? They'll receive a link to the interview in their inbox.
Yes, send it now.
Done. 12 voice interviews launched to your sales team. I'll notify you as responses come in.
Delivery
Built for scale.
Launch hundreds of interviews in seconds.
Collection intelligence
Not every question deserves the same input. Some need voice. Some need a rating, a choice, or an image. Most need the agent to probe deeper. Debriefer adapts the interface node by node.
Entity resolution
Resolve to a real record from a known dataset. Fuzzy autocomplete in a GUI, conversational narrowing by voice, structured search in chat.
Free qualitative
Natural conversation with real-time follow-up. The agent probes for depth, mirrors key phrases, and knows when to move on.
Scaled rating
Slider or stars in a GUI. By voice, qualitative answers are mapped to the scale automatically.
Preference comparison
Side-by-side cards in a GUI, verbal A/B by voice, carousel in chat. Captures the choice and the reasoning.
Media capture
Camera or upload in a GUI, voice prompt to take a photo, file attachment in chat. Falls back to description.
The quality of the answer depends on the quality of the conversation.
Start collecting real answers in minutes.