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An experiment is a configured interview that you share with users. Each experiment has its own questions, settings, and collected responses.

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Creating an Experiment

You create experiments through a 6-step wizard.
1

Method

Choose how to set up your experiment:
  • Prefill using AI — Automatically generates interview questions from your website. Paste a URL and the AI extracts product context, then suggests relevant questions.
  • Create manually — Start with a blank experiment and configure everything yourself.
2

Research

Define your research goals:
  • Research goal (required) — Describe what you want to learn from this experiment.
  • Respondent type — Choose Existing user (interviewing your own customers) or Discovery (interviewing potential users or people outside your product).
  • Additional context (optional) — Extra details about who you’re interviewing, such as user segment, role, or experience level.
3

Interviewer

Configure the AI interviewer’s identity and voice:
  • Name — What the AI introduces itself as. Defaults to “Alex”.
  • Voice gender — Male or Female.
  • Voice age — Any, Young, Middle, or Old.
  • Interview languages — Select from 32 supported languages.
  • Voice selection — Choose a specific voice per language.
4

Product

Provide product details:
  • Experiment name (required) — Internal identifier to organize your interviews. Not shown to users.
  • Product name (required) — Your product’s name, used in the {product} placeholder variable.
  • Product context (optional) — Background information about your product that helps the AI ask relevant follow-up questions. Include what your product does, target audience, key features, and common use cases.
5

Content

Set up your interview questions and opening message:
  • Interview questions — Add, edit, and reorder questions by dragging. Each question has a text field, optional internal notes, and a dig deep toggle. See Writing Good Interview Questions for details.
  • Opening message — Customize how the AI greets users. Supports these placeholders:
Example:
6

Settings

  • Interview reward (optional) — Text shown to users after completing the interview. Use this for thank-you messages or reward codes.
Example:

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Managing Experiments

Right-click an experiment or use the actions menu to access these options:
Editing an experiment doesn’t retroactively change completed interviews. If you significantly change your questions, consider creating a new experiment instead.