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scrutinizr.
AI follow-up questions survey

Surveys that ask a good follow-up question

A one-word survey answer rarely tells you what to change. Scrutinizr adds up to two AI follow-ups to any text question, so “it’s confusing” becomes “I couldn’t find where to add a second user”.

The problem

Why this is hard today

Guesswork

Open-text answers are short and vague.

Wrong signal

Adding more questions lowers completion.

Slow answers

Teams read answers but cannot tell what to fix.

How it works

How Scrutinizr does it

  1. 01

    Write your survey

    Use conditional logic, rating scales, choices and text questions.

  2. 02

    Pick follow-up questions

    Turn follow-ups on per question and set the maximum (one or two).

  3. 03

    Collect answers

    Respondents see a natural follow-up only when their answer is vague.

  4. 04

    Review the detail

    Each answer shows the follow-up asked and the reply, side by side.

What you get

The result

  • Original answers and follow-ups together
  • Themes with counts
  • Filters by segment and variant
  • CSV export
Illustrative example

Example: an onboarding survey

“Setup was hard” appeared in a third of answers. The follow-up asked what step was hardest; most named the data import. The team added a sample dataset and setup completion rose.

Questions

Good to know.

Will follow-ups annoy respondents?

They appear only on text questions you choose, at most twice, and only when the answer needs detail.

Which AI model is used?

Your workspace’s configured provider (Azure OpenAI or OpenAI). Answers are not used to train models.

Can I turn follow-ups off?

Yes, per question or for the whole survey.

Make your next move with evidence.

Start with a question and bring your websites, documents, data and customer voices into one evidence trail.