What a deep interview is
It's not a form or a survey. A deep interview is a one-on-one conversation where you follow every answer down: you ask “why,” ask for an example, notice contradictions — until you reach the real motive, fear, or reason a person acts one way and not another.
How it differs from a regular survey
| Survey / form | Deep interview | |
|---|---|---|
| What it gives you | “What” — numbers and percentages | “Why” — reasons and motives |
| Form | Prewritten answer options | An open, live conversation |
| Reaction to an answer | Logged it and moved on | Followed up and dug deeper |
| Language | The company's words | The customer's own words |
| Risk | Confirms what you already thought | Uncovers the unexpected |
| What you're left with | An average that tells you little | Understanding and a decision |
The principle: follow the “why”
The first answer is almost never the real one — it's convenient and surface-level. The real reason opens up three or four “why”s deeper. So all the value of an interview isn't in the scripted questions — it's in the follow-ups between them.
In three follow-ups, “too expensive” turned into “I didn't see the value at the start.” Those are different problems — and they call for different solutions.
What it's made of
Goal
One clear business question the whole thing is built around.
Script
Five to ten open anchor questions. The AI works through them but never reads a form.
Live dialogue
Follow-ups, examples, circling back to what was left unsaid — like a real moderator.
Analysis
Every conversation is brought together: motives, fears, barriers, quotes, what to do.
When to use it
- Understanding why people behave a certain way — churn, refusals, switching to a competitor
- Finding the real barriers and objections
- Hearing the customer's language for ads and offers
- Testing an idea before launch
- Measuring an exact market share in percentages
- Gathering statistics across thousands of people
- Replacing quantitative analytics
Why AI can handle this
Ordinary deep interviews hit a wall at the moderator: expensive, slow, hard to scale across dozens of conversations. The AI runs the conversation by voice, asks follow-ups, sticks to the script, and pulls the results together itself — so twenty interviews take a day, not weeks, and cost about an hour of a researcher's time. What to study and what to do with the findings is still a human's call.
See five case breakdowns by industry