Strella belongs to the new generation of AI research platforms focused on interviewing participants at scale. The category is important because it changes the economics of qualitative research: teams can hear from more people, faster, without giving up the depth of open-ended conversations.
The tradeoff is that many platforms in this category are built for enterprise sales. User Evaluation is the self-serve alternative for teams that want to run the loop directly.
What smaller teams usually need
Smaller teams rarely need a heavy rollout first. They need a fast path from question to evidence:
- Frame the research question.
- Draft a screener and guide.
- Recruit or bring participants.
- Run adaptive interviews.
- Turn sessions into cited findings.
- Share the evidence with people who were not in the room.
User Evaluation puts that path into a chat-first workspace. Eva, the AI assistant, can draft the study, estimate cost, run the interview workflow after approval, and synthesize results into reports, clips, tags, charts, and decks.
AI moderates, humans answer
The strongest version of AI research does not replace users with synthetic personas. It uses AI to do the repetitive work around real participant evidence.
User Evaluation follows that model. The interviewer is AI. The participant is a real person. The findings link back to transcripts, clips, and source evidence so teams can audit what Eva claims.
One pricing track
User Evaluation uses one public track instead of separate analysis and recruiting plans:
- Free at $0 forever, with 50 questions to Eva a month and 3 interviews with your own people on us.
- Pro at $49/month for solo work, with unlimited studies and unlimited questions to Eva.
- Team at $199/month for 5 seats, unlimited viewers, and client workspaces.
- Scale for unlimited seats, SSO, audit log, and volume interview prices.
Interview pricing is visible and the same on every plan: $10 per completed AI interview with your own people, $39 with everyday consumers, or $99 with professionals, all-in. That makes repeated discovery possible for teams that cannot justify enterprise session pricing.
Approval gates keep spend controlled
Eva can suggest studies, audiences, and interview plans. It cannot spend silently. Publishing a study or sending invitations requires explicit approval after the expected cost is shown.
That approval model matters because autonomous research only works when the human remains in control of budget and risk.
When Strella may be the better fit
If you are buying for a large enterprise program and want a sales-led vendor relationship, Strella may match that process.
If you want self-serve AI interviews, real participants, and cited analysis in one place, User Evaluation is built for the smaller-team workflow.
The short version
Strella is part of the enterprise AI interview category. User Evaluation brings the same direction to a self-serve package: Eva on Free, Pro and Team subscriptions, visible interview pricing, and real participant evidence.
