For researchers

AI-moderated interviews, with the limits stated up front

An AI-moderated interview is a research interview where an AI asks the questions and the follow-ups, and a real person answers. In ScatterSpoke you write the discussion guide as a survey spec (goal, topics, how deep to probe, what’s off limits), send a link, and Spoke interviews each participant in their browser. You read every transcript and a synthesis with the quotes and the number of people behind each theme. People use it for AI user interviews and other AI qualitative research where the questions are already known. It’s not a replacement for a skilled researcher on exploratory or sensitive work.

Example · Discovery interview
QuestionWalk me through the last time you planned a trip with friends.
First answerIt was a bit chaotic, the usual group chat stuff.
Spoke follows upWhat was the most chaotic moment in the chat?
Real answerDeciding dates. Twelve messages of “I’m flexible” and then two people couldn’t make it. I ended up making a spreadsheet and chasing everyone one by one.
What it uncovered

The pain is committing to dates, not finding places. The organizer does the chasing alone.

Updated · By ScatterSpoke

One follow-up chain

What the moderator actually does

Examples of how Spoke follows up on a vague first answer in a research interview. The probe comes from what that participant said, so two people can get different follow-ups.

Example · Discovery interview
QuestionWalk me through the last time you planned a trip with friends.
First answerIt was a bit chaotic, the usual group chat stuff.
Spoke follows upWhat was the most chaotic moment in the chat?
Real answerDeciding dates. Twelve messages of “I’m flexible” and then two people couldn’t make it. I ended up making a spreadsheet and chasing everyone one by one.
What it uncovered

The pain is committing to dates, not finding places. The organizer does the chasing alone.

Example · Concept test
QuestionWhat’s your first reaction to this pricing page?
First answerSeems fine. A bit much maybe.
Spoke follows upWhich part felt like too much?
Real answerThe three add-ons. I couldn’t tell if I’d need them, so I’d probably email sales before buying, and I hate doing that.
What it uncovered

Unclear add-ons push self-serve buyers into a sales conversation they want to avoid.

Example · Churn research
QuestionWhat led you to stop using the app?
First answerI just didn’t need it anymore.
Spoke follows upWhat changed about how you do that task now?
Real answerMy company rolled out a tool that does the same thing inside our calendar. Yours was better, but it was one more login.
What it uncovered

They didn’t leave for a better product; they left for one that was already where they work.

The critique, answered

Are AI-moderated interviews reliable?

The most-read critique, Carl Pearson’s “methodological error amplified”, grants that AI interviews reach many people fast, then argues they “quant the qual”: they explore and count in one pass, treat every answer as equal, and report numbers on categories nobody checked. He’s right about the core problem, and our synthesis does count in the same pass. Here’s how to use it without overclaiming, and where a human is still better. Nielsen Norman Group’s study of AI interviewers reaches a similar conclusion: use them to complement human moderation, not replace it.

01

How follow-ups are chosen

You set the goal, the topics with a reason for each, their priority, and a probe depth per topic (light, standard or deep). Spoke follows up on what each participant said within those limits. Priorities guide the interview; they don’t guarantee every participant covers every topic.

02

Explore first, count second

Treat an agent survey round as the exploring wave. Once the themes hold steady across rounds, count them properly with a classic survey built from those categories. That’s the explore-then-count sequence the critique recommends.

03

Leading probes: pilot first

You review the goal, topics, opening prompt and off-limits topics before anything is sent. The follow-ups are written live, so you can’t pre-approve each one: read the first transcripts for leading probes before sending widely, the way you’d pilot a guide. Guardrails tell the moderator which subjects and behavior to avoid.

04

Themes are a starting point, not statistics

The synthesis shows each theme with the supporting quotes and the number of participants behind it, and where people disagree. Treat counts as “how many people raised this,” not as a measured share of a population. Every mention counts the same; the synthesis doesn’t know that one person’s offhand remark matters less than another’s core problem. You do. Check the quotes against the transcripts before you report a theme.

05

Where a human moderator is still better

Early exploratory work where you don’t know the questions yet, sensitive or emotional topics, building rapport over a long session, watching someone use a product, and reading body language. Use a human there.

06

Where AI moderation helps

A defined guide you need to run with many people, participants spread across time zones, quick follow-up rounds after a first study, and people who’d never find time for a scheduled call.

07

What the output is

A strong first draft of the synthesis plus every raw transcript. You still decide what the findings mean.

AI market research

AI market research with real people, not synthetic ones

Many tools sold as “AI focus groups” generate answers from simulated personas. That can help you brainstorm, but no customer said it. ScatterSpoke is the other kind: real people answer, and the AI only moderates. Planning the questions? See focus group questions for a group and qualitative interview questions for one-on-ones.

Synthetic “AI focus group”
  • Answers come from a model imitating a persona
  • Instant, but nobody real was asked
  • Can’t tell you something the model hasn’t seen
  • Useful for drafting a guide, not for evidence
AI-moderated interviews in ScatterSpoke
  • Your participants answer in their own words
  • Spoke asks the follow-ups each answer calls for
  • Every transcript is there to check
  • Themes come with the quotes and the number of people behind them
How it works for a study

Run a study in four steps

  1. Write the survey specGoal, audience, topics with a reason and a probe depth, off-limits topics, tone (warm, direct or curious) and a 5, 10 or 15 minute budget. Participants never see the spec.
  2. Recruit and sendBring your own participants. Share a link, a QR code, per-person email invitations or an embed. Reminders go to people who haven’t answered.
  3. Interviews run in parallelEach participant talks to Spoke in the browser, in their own time. They can resume an unfinished interview and save their own transcript at the end.
  4. Read the synthesis and the transcriptsThe synthesis builds as responses arrive: themes with quotes and counts, and where participants disagree. Read any transcript, and export the survey data as CSV.

What researchers ask us

QuestionAnswer
Do participants stay anonymous?It’s your choice per study. Anonymous responses are available on paid plans. Don’t promise anonymity unless the setting is on.
Do I get raw transcripts?Yes. Every response is readable as a transcript, with the follow-ups Spoke asked that person.
Can I export?Yes, the survey data exports as CSV. Raw answers stay readable even when the synthesis is locked by plan.
Do participants need an account?No seat and no access to your workspace. They answer through a link; some settings ask them to verify an email address.
Languages?We don’t publish language support yet. Pilot with a few participants in your language first.
What do participants know?Tell them an AI runs the interview and what happens to their answers. NN/g found people hold back when they don’t know.
Data retention?Workspace admins can set a retention policy from 30 to 3,650 days. With no policy set, nothing is deleted automatically.
Recruiting panel?No. You invite your own participants.

Product facts from docs.scatterspoke.com, checked September 27, 2026.

Pricing

Your first ten agent surveys are free, and they don’t expire. Paid plans include 20 or 150 agent surveys a month; see pricing for current prices. Classic surveys are free and unlimited on every plan.

Want the question craft behind the follow-ups? Read the probing questions guide, or see how the same approach works for product feedback and customer exit surveys.

FAQ

Common questions.

What is an AI-moderated interview?

A research interview where an AI asks the questions and the follow-ups and a real person answers, usually in a browser. It lets you run the same guide with many participants at once.

Are AI-moderated interviews as good as a human moderator?

For a defined guide with many participants, they can be consistent and fast. For exploratory, sensitive or rapport-heavy sessions, a skilled human moderator is still better.

How does the AI decide which follow-up to ask?

In ScatterSpoke it follows up on what each participant said, within the goal, topics, priorities, probe depth and off-limits topics you set in the survey spec.

When should I use a human moderator instead?

For early discovery where you don’t know the questions yet, sensitive topics, long rapport-heavy sessions, and anything where you need to watch someone use a product.

Will AI replace UX researchers?

No. It runs interviews and drafts a synthesis; deciding what to study, judging what findings mean and doing exploratory work still need a researcher.

What’s the difference between AI-moderated interviews and an AI focus group?

Many tools sold as AI focus groups generate answers from simulated personas. AI-moderated interviews ask real people; only the moderator is AI.

How much do AI-moderated interviews cost?

In ScatterSpoke your first ten agent surveys are free, and each is one survey sent to your participants. Paid plans include a monthly allowance; see the pricing page.

Use cases

Pilot one study free.

Real people answer, Spoke moderates, and you read every transcript. Your first ten agent surveys are free.