Can an AI actually run a real qualitative interview?

Yes. The agent follows a structured discovery arc, asking one question at a time and probing follow-ups based on what the respondent actually says, over voice or chat, instead of reading down a fixed list.

How do you know the AI isn't leading the respondent?

Every interview is scored by a dedicated research-integrity scorecard. Leading questions are a critical, automatic fail, not a soft warning, so a biased interview gets flagged instead of counted.

Does this replace a written survey?

It replaces the interviews you don't have time to run by hand. Written surveys still work for quick, closed questions. This is for the open-ended discovery conversations that usually only happen a handful of times per study.

Can the question set be customized per study?

Each study is scoped to its own topic and audience today. Self-serve, AI-generated question sets per campaign are next on the roadmap.

ResearchFor Market Research & Insights Teams

Your best insights are stuck in interviews nobody has time to run

Written surveys get a rushed one-line answer. Chanl's interview agent asks real discovery questions by voice or chat, follows up the way a trained researcher would, and grades every conversation for leading questions before you read a single transcript.

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Real conversations, not forms

The agent asks one question at a time, listens to the answer, and probes deeper exactly where a form would just move to the next box.

Graded for research integrity

Every interview is scored for coverage, depth, and neutrality. Leading questions are a hard fail, not a warning, so the data holds up.

One study, hundreds of interviews

The same structured flow runs on voice or chat, at whatever volume the study needs, without hiring or training a single interviewer.

Structured discovery flow

A real interview, not a form with more steps

The agent walks a full discovery arc, role and context, current approach, pain points, what triggered the search, decision criteria, budget and timeline, alternatives considered, close, asking one question at a time and following up on what it actually hears.

One question at a time, with natural follow-up probing
Works over voice or chat, same flow either way
Built from a real discovery framework, not a generic FAQ
Adapts to what the respondent says instead of a fixed script

Angry Caller

Active

Tests escalation handling and de-escalation techniques

VIP Client

Active

High-value customer requiring premium white-glove service

Confused User

Active

Needs extra patience with clear step-by-step guidance

Research integrity scorecard

Every interview grades itself before you read it

A dedicated scorecard checks coverage and completeness, insight quality, and buying or decision signals on every single call. Leading questions are treated as a critical failure, not a note, because the whole point is data you can trust.

Automatic scoring on coverage, depth, and quotable moments
Leading-question detection as a hard, critical auto-fail
Consistent grading criteria across every interviewer and every call
Full transcript and score attached to every session

Score

Good

0/100

Tone & Empathy

94%

Resolution

88%

Response Time

72%

Compliance

85%

Studies, not one-off calls

Run it as a study, not a single conversation

Define the audience and the topic once, then let the same interview run across as many respondents as the study needs. Results roll up into one place instead of living in scattered call notes.