Product teams
Product managers use Moderators to ask more customers why before a decision, without booking a calendar of calls. The page on customer research tools shows how a team of five turns a roadmap question into findings in a day or two.
The most common user research use cases for Moderators are discovery interviews, feedback on a shipped feature, churn and win-loss conversations, concept checks and recurring customer panels run by an agency. In each one you write what you want to learn, send one link to people you already know, and the AI moderator interviews them by chat or voice and returns findings with quotes.

What actually changed before you cancelled?
It got expensive.
Expensive compared to what?
Our team shrank from nine people to four.
Quote from the interview
“I would recommend it, once someone else has set it up.”
An AI moderator fits any study where the answer lives in a conversation: why someone chose you, what they tried first, what almost stopped them, what they would change. It is a weaker fit for studies that need a person watching a screen or a physical product in hand. If your question starts with "why" or "how did you decide", the use cases below apply.
Product managers use Moderators to ask more customers why before a decision, without booking a calendar of calls. The page on customer research tools shows how a team of five turns a roadmap question into findings in a day or two.
Researchers use it to extend their reach, keeping the research guide in their hands while the AI runs the repetitive sessions. Read about UX research tools for how guides, follow-up questions and transcripts fit a researcher's routine.
Insights leads use it to hear from buyers and users at the volume that makes a pattern believable. The consumer insights tools page covers building a repeatable read on customers across a quarter.
Agencies use it to take on more client projects without adding moderators. The page for market research software explains how client-branded links and a findings repository support agency work.
The steps do not change between use cases, only the questions do. You describe what you want to learn and who you are talking to, review the interview guide the moderator drafts, and share one link. Participants answer when it suits them, and you read transcripts, themes and quotes as they come in. The full flow is on the how it works page.
You invite them. Moderators does not supply respondents and does not recruit, so the best studies start with people you can already reach: customers, trial users, lapsed accounts and prospects who replied to you. If you need a broader audience, your own list, community or customer base is the source.
Chat suits quick feedback and people reading on a phone. Voice suits stories and emotional topics, where people say more out loud than they would type. Both are available on paid plans and both produce a transcript. Details are on the AI moderated interviews page.
Plans are billed monthly or yearly and the annual price is half. The Team plan is $249 per month, or $124.50 per month billed annually, and includes 400 chat interviews and 300 voice minutes. At the monthly price, $249 divided by 400 chat interviews is about 62 cents per interview if you use the whole limit. The Starter plan is $99 per month with 100 chat interviews, which is about 99 cents per interview at the limit. Limits are per billing period and unused ones do not carry over. See pricing for Scale and Enterprise.
No. You bring the participants with your own link. This keeps cost low and keeps the conversations with people who actually use or buy your product.
Yes. Seats let several people write guides and read findings. Starter has one seat, Team has five and Scale has fifteen. The features page lists what each plan adds.
Yes, at any time. Your interview data is yours, and the security page explains how it is handled.
Think of the study that kept slipping because nobody had time to schedule calls. Write the question, invite twenty customers and read what they say by the end of the week.