Watch real people use it before it ships
An AI tool can be technically brilliant and still go unused because people cannot figure out how to talk to it or do not trust what it gives back. We put the working thing in front of real users, watch where they hesitate, and fix the friction before launch, so adoption is built in rather than hoped for.
Everything included,
nothing bolted on.
Every build starts with a fixed-scope conversation, no surprise line items after the fact.
- Task based user sessions
- Observation of real behaviour
- Friction and drop off points
- Prompt and phrasing mismatches
- Trust and confidence checks
- Prioritised fix list
- Before and after retesting
- Adoption readiness sign off
FAQ
We put the working agent in front of real users who will actually use it, watch what they do rather than what they say they would do, and find the moments where people hesitate or give up.
It works best on the working thing before launch, but findings turn straight into changes, so testing and fixing can happen in a loop before the version that ships is locked.
A tool can be technically brilliant and still go unused because people cannot figure out how to talk to it or do not trust what it gives back, so we test trust and behaviour, not just correctness.
Findings turn into a prioritised fix list, then before and after retesting confirms the fixes worked, ending in an adoption readiness sign off before launch.
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You launch something people actually use, with the confusion designed out ahead of time instead of showing up as low adoption after go live.
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