Guide · AI customer feedback

Find out why customers gave the score, not just the score.

An AI-adaptive feedback survey keeps your core questions fixed and adds a small number of follow-ups that respond to what each person actually said. This guide explains how that works in Candor, the three workflows it fits best, and the situations where you should use something else.

Last reviewed October 12, 2026

01 · The mechanism

Adaptive is not the same as branching

Branching logic picks the next question from a list you wrote in advance, based on which option someone selected. It is predictable and easy to audit, and it cannot react to a sentence it has never seen.

An adaptive follow-up is written in the moment from the respondent's own words. If someone says onboarding was "a bit rough", the next question can ask which step, instead of a generic "anything else?".

In Candor you write the anchor questions. The interviewer may add follow-ups between them, within a depth setting you choose, and it stops probing when an answer is already specific enough. The full rules are in How adaptive follow-ups work and on the methodology page.

Static, branching, and adaptive surveys compared
Static open textBranching logicAdaptive follow-ups
Next question decided byNothing; one boxSelected optionThe answer text
Every respondent sees the same wordingYesWithin a pathAnchors yes, follow-ups no
Handles a vague answerNoNoCan ask for specifics
Main riskThin answersUnanticipated reasonsWording varies; must be bounded

02 · Workflows

Three recurring jobs it fits

The usual problem
The score moves, and the comment box says "good product" or nothing at all.
How to run it
Keep the 0 to 10 question exactly as you ask it today. After the score, the interviewer asks about the reason, and the follow-up angle depends on the score: what would raise it for a passive, what went wrong for a detractor, what they would tell a colleague for a promoter.
What to do with it
Track the score as your trend line. Read themes and quotes to decide what to fix, and open the transcript behind any theme you plan to act on.
The usual problem
Cancellation reasons collapse into "too expensive" and "not using it enough", which rarely say what to change.
How to run it
Ask after cancellation is complete, never as a gate in front of it. One follow-up can turn "too expensive" into which part of the price, compared with what, and when it stopped feeling worth it.
What to do with it
Group reasons by what you could change (onboarding, a missing integration, plan structure) rather than by the category label the customer picked.
The usual problem
Sales notes record what the rep heard. Buyers rarely tell a rep the real reason they chose someone else.
How to run it
Send a short interview to recent wins and losses. Follow-ups ask what nearly changed the decision, who else was involved, and which alternative was considered.
What to do with it
Compare the reasons winners almost left with the reasons losers did leave. The overlap is usually the most useful finding.

03 · Examples

What a bounded follow-up looks like

These exchanges were written for this page to show the mechanism. They are not customer quotes, and they do not describe measured results.

NPS, score 7
Illustrative example, not a customer
  1. AskedHow likely are you to recommend us to a colleague?
  2. Answer7. It's fine, reporting is a bit clunky.
  3. AskedWhat's the clunkiest part of reporting for you right now?
  4. AnswerExporting. I rebuild the same chart in a spreadsheet every Monday because the export drops the date filter.

One follow-up, then the interviewer moves on: the second answer names a concrete, fixable cause, so further probing would add burden without adding much.

Churn, after cancellation
Illustrative example, not a customer
  1. AskedWhat was the main reason you cancelled?
  2. AnswerToo expensive.
  3. AskedWas it the price itself, or what you were getting for it at that point?
  4. AnswerWhat we got. Two of us stopped logging in after the integration with our CRM broke in March.

The category says price; the follow-up shows the actual lever is a broken integration. The respondent could have skipped the follow-up with no penalty.

04 · Honest limits

When to use something else

  • You need statistically comparable open-text answers. Follow-up wording differs by respondent. Keep your score or closed questions as the comparable measure and treat follow-ups as qualitative evidence.

  • The topic is sensitive or high stakes. Health, legal, safety, or anything distressing deserves a trained human interviewer who can read the room and change course.

  • You are still discovering what to ask. Early, open-ended discovery benefits from live conversation where a researcher can chase an unexpected thread for twenty minutes.

  • You only need a count. If the decision depends on how many, not why, a short closed survey is cheaper for respondents.

We have not yet published a controlled study of how adaptive follow-ups change answer quality. When we do, the protocol and limits will be published alongside the results.

Run your next NPS or churn survey with follow-ups

The Free plan includes every feature. Pricing is per completed conversation, and follow-ups are never metered.