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Ship AI users actually trust.

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.

Recruit

Custom recruiting from a population of 90m+ people, or bring your own exact audience.

Capture

Observe users in simulated product experiences with your bot, agent, or copilot.

Synthesise

Deep research, custom data sets, and the exact moments that predict real behaviour.

Chatbot & agent testingHuman vs AI handoffAI onboarding flowsPrompt & response qualityAI disclosure & trustCopilot usability
How it works

Ask. Watch. Ship.

Tour the platform →
01Step

Recruit

Custom recruiting from 90m+ people, or bring your own list. We find the exact audience for your AI.

02Step

Show

Chatbots, agents, copilots, onboarding flows. Robin records voice, screen, and thought.

03Step

Cluster

Trust breaks, confusion moments, and handoff triggers - surfaced automatically.

04Step

Share

One clean report per study. Where users trusted the AI, and where they wanted a human.

Notebook full of research notes and observations
In the wild
“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.”
Ines Marchetti
VP Product · Enterprise SaaS
90m+
reachable population
Custom
recruiting or BYO
Sample AI studies

What AI teams
ask Robin.

Browse all methods →
Human vs AI

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.

Banking · AI support
HR chatbot

What will employees actually ask an HR bot?

60 employees rank 30 real HR questions by comfort. See what your bot should - and shouldn't - answer.

Enterprise · people ops
Copilot usability

Can users get value from the copilot in five minutes?

12 first-time users try three tasks. Every dead-end and 'I'd just Google this' captured.

SaaS · AI product
AI disclosure

Do users trust AI-generated recommendations?

Three disclosure patterns, 180 participants. See which builds confidence and which kills it.

Fintech · trust & safety
AI onboarding

Where does the AI onboarding lose people?

20 new signups meet the assistant for the first time. Every hesitation clipped and clustered.

0→1 · AI onboarding
Response quality

Does the AI answer sound like us?

Users compare generated answers against human-written ones. Tone, accuracy, and plausibility scored.

AI teams · brand
Concept validation

Would enterprise buyers actually deploy this agent?

A working demo and three deployment models, 90 IT decision-makers.

Enterprise · AI GTM
Message test

Which AI value prop earns a demo?

Four positioning statements, 200 target buyers. Side by side.

B2B AI · growth
Guardrails

What does the bot say that users find creepy?

50 users stress-test edge prompts. Every unsettling response clipped for review.

AI safety · product
The bigger idea

Every AI decision,
backed by real users.

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.

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Join the
early flock.

Forty AI product teams a month. Starter panel on us.