AI-curated interviews
Create AI-curated interviews that call participants in the browser, follow a discussion guide, and ask adaptive follow-up questions. The result includes a recording and a speaker-labeled transcript.
AI user research for interviews, surveys, and cited insights
User Evaluation is an AI platform for user research that combines participant recruiting, AI-led interviews and surveys, and post-session analysis in one workspace. It is built to help researchers move from raw transcripts or collected responses to cited insights, reports, and presentations.
The product separates work into Engage for recruiting and running studies, and Analyze for reviewing the resulting files. Users can start from a brief, a transcript, or an existing study, then use the platform to gather responses, tag and organize evidence, and generate shareable outputs with citations.
Create AI-curated interviews that call participants in the browser, follow a discussion guide, and ask adaptive follow-up questions. The result includes a recording and a speaker-labeled transcript.
Run chat-style surveys that probe based on each answer, or publish AI-generated fixed surveys from a brief. This covers qualitative and quantitative research workflows in one product.
Recruit from a verified participant pool, filter by demographics and qualifications, or bring your own contacts by CSV, email list, or public invite link.
Turn audio, video, text, PDF, and CSV into cited outputs such as AI Insights, charts, clips, reports, and decks. Claims are linked back to transcript lines or source content.
Organize findings with tagging, Kanban collections, live notes, discussion guides, and public read-only links. The workspace is built for sharing research with stakeholders.
Support security and operational controls with encryption at rest and in transit, SSO and SCIM on Plus, audit logs, PII redaction, and white-labeling on paid plans.
Run moderated or AI-led interviews when you need qualitative depth from a small or medium participant set. The platform handles invites, recording, transcripts, and follow-up questions.
Collect higher-volume qualitative feedback with AI-curated surveys or fixed-question surveys generated from a brief. This fits teams that want more responses than live interviews usually provide.
Recruit from a participant pool by demographic and qualification filters, or invite customers, beta users, and newsletter subscribers from your own list. This supports studies that need both sourced and owned audiences.
Review uploaded files and turn them into tagged insights, charts, reports, and presentation decks with citations. This is useful when research already exists in transcripts, recordings, PDFs, or CSVs.
Share findings with stakeholders through public links, editable reports, decks, and branded exports. Teams that need to present research internally can keep the evidence linked back to source material.
Yes. User Evaluation offers a free tier with 1 project, 2 file uploads, and 3 transcription hours, and it does not require a card to start.
Yes. The pricing page says you can upgrade or downgrade at any time from Settings → Plan & Usage, and cancellation is available from your account.
Engage is the recruiting and data-collection side of the workspace, while Analyze is where uploaded or collected material is reviewed with AI, tags, clips, reports, and decks.
On paid plans, the platform supports AI Chat, AI Insights, reports and presentations, and a Meeting Notetaker for Meet, Teams, and Zoom.
The security page says customer data is not used to train AI models, requests are protected with PII masking, and production runs on US infrastructure by default with EU-resident processing available on request.
Traffic data is for reference only.
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