Eliciteer is an AI qualitative research platform: it moderates in-depth interviews with hundreds of participants in parallel, probes the 'why' behind every answer, and returns coded, structured findings — in days instead of months.
72%
Cost reduction vs traditional qual
100s
In-depth interviews in parallel
Days
From brief to coded findings
3-4x
Higher completion than surveys
Qualitative research answers the questions numbers can't: why customers choose, switch, hesitate, or churn. Traditionally that meant human moderators, small samples, weeks of fieldwork, and weeks more of transcript coding — so most teams settle for surveys and lose the depth.
AI qualitative research changes the economics. An AI moderator conducts one-on-one, in-depth interviews with every participant — laddering into motivations, probing vague answers, and following unexpected threads — while hundreds of sessions run simultaneously. The depth of a moderated interview, at the speed and cost of a survey.
With Eliciteer, you brief the AI on your research objectives, share a link with your participants or panel, and receive structured findings per interview: themes, verbatims, and the specific signals you asked for — analysis-ready, without manual transcript coding.
From research objectives to coded findings in three steps.
Define objectives, target segments, and hypotheses. The AI builds and follows the discussion guide.
Distribute to your customers, panel, or community. Interviews run in parallel, async, in any time zone.
Every session is summarized into themes and structured data — no weeks of manual transcript coding.
Open questions, laddering, probing vague answers, exploring new threads — applied consistently in every session.
Hundreds of in-depth interviews per study means themes you can actually quantify, not anecdotes from n=8.
No moderator fees, facilities, or per-session charges. Qualitative programs become affordable to run continuously.
No calendar coordination. Participants join when it suits them, and analysis starts while fieldwork is still running.
Interview participants across languages and time zones in one study — without local moderator networks.
Structured results flow into sheets, dashboards, or repositories via webhooks, n8n, Make, or Zapier.
Keep the rigor of moderated qual — lose the cost, the calendar, and the coding backlog.
Wherever you need the 'why' — at a sample size that stands up in the boardroom.
Test messaging, positioning, and campaign concepts with in-depth reactions — in respondents' own words.
Understand purchase drivers, in-store vs online behavior, and category perceptions across hundreds of shoppers.
Explore reactions to prototypes, features, and pricing before you invest in building.
Interview every churned customer and lost deal — not a hand-picked handful — and quantify the real reasons.
Ground segments in real conversations about needs, behaviors, and buying triggers at statistical scale.
Keep a standing interview link in your product or lifecycle emails for continuous qualitative listening.
AI qualitative research uses an AI moderator to conduct in-depth, one-on-one interviews at scale. Instead of a fixed questionnaire, each participant gets an adaptive conversation in which the AI probes motivations, asks follow-ups, and explores unexpected answers. The result is qualitative depth — themes, verbatims, stories — across sample sizes normally reserved for quantitative surveys.
A small group of platforms now offer AI-moderated qualitative research. Eliciteer focuses on fully asynchronous, text-based adaptive interviews launched from a plain-language briefing: you define objectives, share one link, and receive structured findings per participant — with results delivered into your existing tools via webhooks, n8n, Make, or Zapier.
For most exploratory and evaluative studies, yes — the AI applies the same core techniques (open questions, laddering, probing) with perfect consistency across hundreds of sessions, which no human team can match. For highly sensitive topics or ethnographic work, teams typically combine AI fieldwork at scale with a handful of human-led deep dives.
Every Eliciteer interview is automatically summarized into the structure you defined in your briefing — themes, key quotes, and specific data points. Because coding happens per interview as fieldwork runs, cross-participant analysis can start immediately instead of after weeks of manual transcript work. Full transcripts remain available for verification.
Yes. Marketing teams use Eliciteer for message and concept testing, brand perception, and campaign research; retail teams use it for shopper journeys, category insights, and purchase-driver studies. Because interviews are async and mobile-friendly, consumers participate in their own context — often with richer answers than in a facility.
You bring your own audience — customer lists, panels, communities, or in-product intercepts. Eliciteer generates a shareable interview link you can distribute through any channel; there's no app to install and no account required for participants.
Brief the AI moderator, share one link, and get coded qualitative findings in days — not months.
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