When do bank customers want an agent instead of a bot?
40 customers walk six support scenarios. Every moment they ask for a human, flagged and timestamped.
Run observed, simulated product experiences with the exact people your AI is for. Custom recruiting from a population of 90m+, BYO participants, and custom data sets that show what people will actually do.
Custom recruiting from a population of 90m+ people, or bring your own exact audience.
Observe users in simulated product experiences with your bot, agent, or copilot.
Deep research, custom data sets, and the exact moments that predict real behaviour.
Custom recruiting from 90m+ people, or bring your own list. We find the exact audience for your AI.
Chatbots, agents, copilots, onboarding flows. Robin records voice, screen, and thought.
Trust breaks, confusion moments, and handoff triggers - surfaced automatically.
One clean report per study. Where users trusted the AI, and where they wanted a human.

“We shipped an HR chatbot thinking it would land. Robin showed us fourteen employees quietly asking for a human - we redesigned the handoff before launch.”
40 customers walk six support scenarios. Every moment they ask for a human, flagged and timestamped.
60 employees rank 30 real HR questions by comfort. See what your bot should - and shouldn't - answer.
12 first-time users try three tasks. Every dead-end and 'I'd just Google this' captured.
Three disclosure patterns, 180 participants. See which builds confidence and which kills it.
20 new signups meet the assistant for the first time. Every hesitation clipped and clustered.
Users compare generated answers against human-written ones. Tone, accuracy, and plausibility scored.
A working demo and three deployment models, 90 IT decision-makers.
Four positioning statements, 200 target buyers. Side by side.
50 users stress-test edge prompts. Every unsettling response clipped for review.
More than traditional research. Robin combines observed sessions, simulated product experiences, deep research, and custom data sets so you ship AI that matches what people actually do.
Forty AI product teams a month. Starter panel on us.