AGENTIC AI MODERATION

Agentic AI Moderator

AI Moderated Interviews give you the reach of a survey with the depth of an interview. We built our agentic moderator to have research instincts and work across any study type.
AGENTIC AI MODERATION

Why our agentic AI moderator is different

They give you one format, a fixed script, and a handful of controls, so you either accept how the tool wants to run your study or you don't use it at all. Most AI interviewers are rigid by design.
Rigid AI Interviewers

Agentic moderation

One format

Works across any method

Fixed script

Script or freestyle, your call

Limited controls

You set the limits

Hears only and only interactive through voice & text

Follows on-screen behaviour (with prototype tests)

As structured or as loose as you want it
Hand the agent a goal and it'll fill in the blanks intelligently. You decide what good looks like for this particular study, and it works within what you've set.
Write every question yourself and get it to closely follow your guide.
Or sit somewhere in between and dial it up step by step.
Interviews and surveys today, prototype tests next
Scale your research with agentic moderation across surveys, interviews, prototype tests, and soon any other research type.
Surveys. Open-ended questions with AI follow-ups, single and multiple choice, 1 to 5 rating, and yes/no.
Interviews. An adaptive, conversational session with intelligent, contextual follow-ups.
Prototype tests, coming next. Running on any URL, which widens what you can put in front of participants and lets you do it at scale. The moderator follows what someone does rather than only what they say, and probes into on-screen behaviour while it's happening.
Analysis built-in
Repository, highlights, reels, insights, Ask AI, tagging and clipping all work on these sessions exactly as they do on any other study. Recruitment, screening, participant management, consent and incentives are unchanged.
The full two-voice transcript, participant and moderator, clearly speaker-labelled and ready to read, tag, and clip
Correct attribution, with every result filed against the right participant record automatically

Choose the right approach for every study

AI moderation and human moderation are complementary. Use this to decide which fits your study.

AI moderation

Human moderation

Best for

High-volume discovery, continuous feedback, churn interviews, concept testing

Sensitive topics, complex emotional exploration, executive interviews

Scale

Hundreds of interviews in parallel, available 24⁄7

4–6 interviews per day per researcher

Consistency

Same core experience for every participant

Varies by researcher skill and energy

Follow-up depth

Adaptive probing based on response gaps

Deep contextual follow-ups, reads between the lines

Languages

Dozens of languages, instant localization

Limited to researcher fluency

Scheduling

Async, participants complete on their own time

Calendar coordination required

Cost per session

Fraction of a live interview

Researcher time + recruiting overhead

Time to insights

Automatic transcription, highlights, and synthesis

Manual transcription and analysis

Frequently asked questions

What languages does the AI moderator support?

English at launch, with more languages on the roadmap. If you're running a multi-market study, talk to us about timing.

How does data privacy work during AI interviews?

Every AI moderated interview runs on Great Question's infrastructure with the same enterprise-grade security that covers the rest of the platform. Data is encrypted in transit and at rest, transcripts are stored in your research repository (not shared with third-party model providers for training), and you control data retention policies from your workspace settings. For teams with specific compliance requirements — SOC 2, GDPR, HIPAA — reach out to our team to walk through the details.

Why use Great Question’s AI features over other standalone AI tools?
  • Meets you where you’re at: Our AI features are thoughtfully designed to augment your existing research workflows on Great Question
  • Pre-integrated: Each AI query receives the right data and context it needs to perform the task, resulting in responses that are relevant and high-quality.
  • Query large studies: You can easily query large studies with up to 1000s hours worth of interview transcripts, something that isn’t possible with tools such as ChatGPT.
  • Security and privacy controls built in: Data containing PII is automatically masked by Great Question, and data will not be used by 3rd parties for training future models.
How does AI moderation quality compare to human moderation?

For high-volume discovery research, AI moderation consistently surfaces insights that manual interviews miss — because it can run hundreds of conversations in the time it takes to schedule one. The AI adapts its follow-up questions based on what each participant says, so you get depth without a rigid script. Where human moderation still wins: sensitive topics, complex emotional exploration, and situations where reading body language matters. Most teams use both. See our comparison guide for a breakdown by study type.

How many interviews can I run at the same time?

There's no practical cap. Teams regularly run hundreds of AI interviews in parallel — participants join on their own schedule, 24/7, and complete interviews asynchronously. You're not limited by moderator availability, time zones, or calendar logistics. If you can recruit them, the AI can interview them.

Can I customize the questions and follow-up logic?

Yes, to whatever degree you want. Hand the agent a topic and a goal and it'll work out the questions. Or write every question yourself and have it ask them exactly as written. Or sit somewhere in between. You set the limits and it works within them.

Can I customize the interview script and follow-up logic?

Yes. You write the discussion guide — the questions, the topics you want to cover, and the areas where you want deeper follow-up. The AI moderator uses your guide as a framework, not a rigid script. When a participant gives a short or surface-level answer, the AI probes deeper on that specific response. You can also set priorities: which topics to spend more time on, which to skip if time runs short, and what kinds of follow-ups to emphasize. It's your study design with adaptive execution.

What information is provided to the AI?

It varies between different AI features, but we generally supply anonymised interview transcript excerpts, study metadata (e.g. research goal), and tagged highlights to the AI to produce responses.

Are there usage limits?

Usage of AI features is not limited, but is subject to fair use policies.

AGENTIC AI MODERATION

Agentic AI Moderator

AI research magic icon
AI

AI Moderated Interviews give you the reach of a survey with the depth of an interview. We built our agentic moderator to have research instincts and work across any study type.

AGENTIC AI MODERATION

Why our agentic AI moderator is different

They give you one format, a fixed script, and a handful of controls, so you either accept how the tool wants to run your study or you don't use it at all. Most AI interviewers are rigid by design.
Rigid AI Interviewers

Agentic moderation

One format

Works across any method

Fixed script

Script or freestyle, your call

Limited controls

You set the limits

Hears only and only interactive through voice & text

Follows on-screen behaviour (with prototype tests)

As structured or as loose as you want it

Hand the agent a goal and it'll fill in the blanks intelligently. You decide what good looks like for this particular study, and it works within what you've set.
Write every question yourself and get it to closely follow your guide.
Or sit somewhere in between and dial it up step by step.

Interviews and surveys today, prototype tests next

Scale your research with agentic moderation across surveys, interviews, prototype tests, and soon any other research type.
Survey icon
Surveys. Open-ended questions with AI follow-ups, single and multiple choice, 1 to 5 rating, and yes/no.
Interviews. An adaptive, conversational session with intelligent, contextual follow-ups.
CRM integration icon
Prototype tests, coming next. Running on any URL, which widens what you can put in front of participants and lets you do it at scale. The moderator follows what someone does rather than only what they say, and probes into on-screen behaviour while it's happening.

Analysis built-in

Repository, highlights, reels, insights, Ask AI, tagging and clipping all work on these sessions exactly as they do on any other study. Recruitment, screening, participant management, consent and incentives are unchanged.
The full two-voice transcript, participant and moderator, clearly speaker-labelled and ready to read, tag, and clip
Correct attribution, with every result filed against the right participant record automatically

Choose the right approach for every study

AI moderation and human moderation are complementary. Use this to decide which fits your study.

AI moderation

Human moderation

Best for

High-volume discovery, continuous feedback, churn interviews, concept testing

Sensitive topics, complex emotional exploration, executive interviews

Scale

Hundreds of interviews in parallel, available 24⁄7

4–6 interviews per day per researcher

Consistency

Same core experience for every participant

Varies by researcher skill and energy

Follow-up depth

Adaptive probing based on response gaps

Deep contextual follow-ups, reads between the lines

Languages

Dozens of languages, instant localization

Limited to researcher fluency

Scheduling

Async, participants complete on their own time

Calendar coordination required

Cost per session

Fraction of a live interview

Researcher time + recruiting overhead

Time to insights

Automatic transcription, highlights, and synthesis

Manual transcription and analysis

Not sure which is right for your study? Read the full guide →

Frequently asked questions

What languages does the AI moderator support?
English at launch, with more languages on the roadmap. If you're running a multi-market study, talk to us about timing.
How does data privacy work during AI interviews?
Every AI moderated interview runs on Great Question's infrastructure with the same enterprise-grade security that covers the rest of the platform. Data is encrypted in transit and at rest, transcripts are stored in your research repository (not shared with third-party model providers for training), and you control data retention policies from your workspace settings. For teams with specific compliance requirements — SOC 2, GDPR, HIPAA — reach out to our team to walk through the details.
Why use Great Question’s AI features over other standalone AI tools?
Bullet point
Meets you where you’re at: Our AI features are thoughtfully designed to augment your existing research workflows on Great Question
Bullet point
Pre-integrated: Each AI query receives the right data and context it needs to perform the task, resulting in responses that are relevant and high-quality.
Bullet point
Query large studies: You can easily query large studies with up to 1000s hours worth of interview transcripts, something that isn’t possible with tools such as ChatGPT.
Bullet point
Security and privacy controls built in: Data containing PII is automatically masked by Great Question, and data will not be used by 3rd parties for training future models.
How does AI moderation quality compare to human moderation?
For high-volume discovery research, AI moderation consistently surfaces insights that manual interviews miss — because it can run hundreds of conversations in the time it takes to schedule one. The AI adapts its follow-up questions based on what each participant says, so you get depth without a rigid script. Where human moderation still wins: sensitive topics, complex emotional exploration, and situations where reading body language matters. Most teams use both. See our comparison guide for a breakdown by study type.
How many interviews can I run at the same time?
There's no practical cap. Teams regularly run hundreds of AI interviews in parallel — participants join on their own schedule, 24/7, and complete interviews asynchronously. You're not limited by moderator availability, time zones, or calendar logistics. If you can recruit them, the AI can interview them.
Can I customize the questions and follow-up logic?
Yes, to whatever degree you want. Hand the agent a topic and a goal and it'll work out the questions. Or write every question yourself and have it ask them exactly as written. Or sit somewhere in between. You set the limits and it works within them.
Can I customize the interview script and follow-up logic?
Yes. You write the discussion guide — the questions, the topics you want to cover, and the areas where you want deeper follow-up. The AI moderator uses your guide as a framework, not a rigid script. When a participant gives a short or surface-level answer, the AI probes deeper on that specific response. You can also set priorities: which topics to spend more time on, which to skip if time runs short, and what kinds of follow-ups to emphasize. It's your study design with adaptive execution.
What information is provided to the AI?
It varies between different AI features, but we generally supply anonymised interview transcript excerpts, study metadata (e.g. research goal), and tagged highlights to the AI to produce responses.
Are there usage limits?
Usage of AI features is not limited, but is subject to fair use policies.