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NewStudy design

Catch problems in your topic guide before fieldwork starts

An AI quality check reviews your topic guide before launch, flags missing instructions and unclear wording, and can fix each issue in one click.

Emily Kavanagh

At a glance

  • Open Check Quality next to the study design assistant in the designer
  • Warnings flag oversights that could hurt your data or the interview
  • Suggestions point to unclear wording and double-barreled questions
  • Fix with AI resolves an issue without leaving the guide
  • Review the guide before launch, then run a test interview

Release details

Shipped
Area
Study design
Kind
New
Author
Emily Kavanagh
  • Study design toolkit
  • AI quality check
Read the docs guide

A shop-along goes live, and the first videos show the participant's face instead of the shelf, because the guide never asked them to switch to the rear camera. Or a question asks how easy and how enjoyable checkout was, and people answer only half of it. Slips like these are easy to make when you write a guide fast. They usually surface once fieldwork has started, when each one costs you interviews.

The AI quality check, how it works and what it changes, no sound needed.

How it works

  • Open Check Quality in the designer. It sits next to the study design assistant, in the panel beside your topic guide, and shows how many issues it found.

  • Warnings come first. They mark oversights that could hurt your data or the participant experience, like a kitchen tour with no instruction to switch to the rear camera.

  • Suggestions come next. They point to wording that could be clearer, double-barreled questions and answer options that could be tighter.

  • Fix with AI. Pick an issue and hit Fix with AI to resolve it without leaving the guide.

Research teams asked for a check in five situations

These come from teams we work with in consumer goods, beauty, healthcare, technology and research agencies. We kept them anonymous.

  • A read before launch. Teams described sending the guide to a colleague or partner, or soft-launching a few interviews, to catch problems before full fieldwork.

  • Leading wording. Researchers wanted a flag when a question nudges people toward an answer, especially when colleagues outside research write the questions.

  • Two questions in one. Teams asked where a check for double-barreled and overlapping questions would show up in the guide.

  • Home tours and show-and-tell. Studies that ask people to open a cabinet or walk through a room need clear camera instructions, and teams had seen participants who did not know how to flip their camera.

  • Clearer questions. Teams asked whether the AI would suggest a better way to write a question so it reads clearly.

What this means for your research

You get a first review inside the designer while you are still writing, before the guide goes to colleagues or into field. Warnings catch the slips that cost interviews. Suggestions tighten the wording before a participant ever reads it.

The check is a second pair of eyes, and the call stays yours. A suggestion can flag wording you chose on purpose, so apply the fixes that fit your study and leave the rest. Run a test interview before launch to hear how the whole guide plays.

Read the topic guide setup guide for more on building and checking your guide.