User Evaluation

Free

User Evaluation is a research platform in the Design space. It sits between traditional interview tools and synthetic testing. You get AI-moderated voice calls with real participants, plus transcripts and reports that cite source clips.

You write a research question. The system drafts a five-question guide with a screener. Nothing starts until you approve it. An AI moderator runs voice calls with screened participants, asking follow-ups based on answers. You can listen live and redirect if needed.

It fits teams who need depth at scale. It is a poor fit for sensitive research or tight budgets.

Open it if you need real-participant interviews without staffing every call live. Skip it if you need human nuance or have no research budget.

It helps most when this is the job in front of you.

• Product teams validating specific user decisions: You get evidence with source links. You defend decisions without guessing.
• Researchers who need defensible evidence with citations: Every claim links to timestamped audio. You prove your point.
• Teams combining live interviews with longitudinal usage: Swarm agents create real accounts and return over weeks. You see behavior beyond one session.
• Product teams needing real-participant research without live staffing: AI moderates while you do other work. You scale without hiring.
• Teams with limited researcher capacity: AI handles moderation and first-pass analysis. You stretch thin resources further.
• Discovery interviews requiring adaptive follow-ups: The AI probes based on answers. You catch what fixed surveys miss.
• Continuous research with repeatable workflows: One platform covers recruiting to reporting. You stop stitching tools together.
• Teams running frequent research at scale: Interviews run in parallel. You speed up your calendar.
• Organizations needing compliance-grade handling: SOC 2 Type II is in place. You satisfy security reviews.

These are the parts you notice after a few tries.

• Source-linked claims: Every insight points to a timestamped clip. You trust the report.
• Contextual follow-ups: The AI asks probing questions mid-call. You get specifics like timing and decision-makers.
• Swarm agents for longitudinal data: Real accounts return with session replays over weeks. You see actual usage patterns.
• Live listening with redirect: You jump in and steer the next question. You stay in control.
• Fast turnaround: Reports come back in 48 hours. You keep projects moving.

Skip it when the fit is wrong.

• Skip it for sensitive or high-stakes research: AI can miss emotional nuance or ask leading questions. You still need trained humans.
• Skip it if you need verified moderation quality: No independent tests show how well the AI follows up. You are buying on promise.
• Skip it on a tight budget: Paid tiers run around $140-$539. Participant incentives cost extra. The real bill grows fast.
• Skip it if you need clear panel details: No disclosed pool size or demographics. You cannot judge sample quality.