When to use it
FMCG
Exploring a category before launch
Hear how people shop, choose and talk about the category, at a scale qual rarely reaches.
Telecom and BFSI
Understanding why customers leave
Go past the exit score to the moments and reasons behind it.
D2C
Testing a concept in regional markets
Collect reactions in local languages without a moderator in every city.
Employee experience
Hearing from frontline staff
Reach store and field teams on the app they already use every day.
How it works
- 01DesignWe turn your brief into a discussion guide and the probing rules the AI must follow.
- 02FieldRespondents chat with the AI interviewer on WhatsApp, by text or voice, whenever suits them.
- 03AnalyseAnswers are transcribed, translated and coded into themes in real time.
- 04DeliverA researcher reviews the AI summary, then walks your team through the findings.
Try it yourself
Be interviewed by our AI. It takes three minutes.
Answer a short demo study about a new snack pack. Your answers join the live dashboard below, alongside other visitors' responses.
INFER DataVizard
The live dashboard
This is the dashboard the demo feeds. Your client dashboard looks the same.
What you get
- 01Live dashboard access
- 02AI summary, reviewed by a researcher
- 03Transcripts and raw data export
- 04Debrief with our team
Methodology notes
How the AI interviewer probes
Each interview follows a discussion guide written by a researcher. The AI asks follow-up questions only within the rules you approve: when to probe, how deep to go and which topics to avoid. It never leads the respondent towards an answer.
Quality controls
INFER AI's session quality checks flag duplicate, speeding and low-effort responses before analysis. Translations keep the original text alongside, so meaning can always be checked.
Human review
AI does the coding at speed. A researcher checks the theme frame, reads a sample of transcripts and signs off the final report.
Written by [Name], Research Lead