UX Research and Usability Testing
What we've learned so far
Research pays for itself by preventing the expensive kind of mistake: building something for months that customers do not use, or fixing an interface when the actual problem is the offer. Watching real people attempt real tasks is the only reliable way to find out where a product loses them, and it is far cheaper than shipping and waiting for the numbers.
Done badly it is money spent on reassurance. We have run studies that confirmed what the team already believed and produced a deck nobody reopened. The correction was to stop starting from a research question and start from the decision that is pending. If no decision is waiting, the study is decoration. Five sessions against a live prototype, run in the week a choice has to be made, beat a thorough programme delivered a month later. The other discipline concerns evidence. People describe their preferences confidently and are frequently wrong about their own behaviour, so we weight what they do with a half-finished screen over what they say they would pay for, and we write findings as specific changes with a place in the backlog rather than as observations.
Synthetic users and AI-generated research summaries are now widely sold, and they are useful for preparation rather than as evidence. A model can predict what a plausible user might say. It cannot tell you that your actual customer abandoned the flow because their company requires a purchase order number your form does not accept. Real friction is specific, local and frequently absurd, which is exactly why it goes undiscovered until someone watches.
What this can involve
Customer Feedback Programmes
Validation and Experiment Design
Survey and Data Analysis
Customer Interviews
Product Audit
User Research Services
Remote Usability Testing
Usability Testing Services
UX Audit
Heuristic Evaluation
Card Sorting and Tree Testing
Empathy Mapping
Persona Development
Customer Journey Mapping
How we work
Agree what the research has to settle
The decision waiting on the answer, and what result would change it. Research without a decision attached produces interesting findings nobody acts on.
Recruit people who match your users
Real customers where possible, screened for the behaviour that matters rather than for demographics. Testing with the wrong people is worse than not testing.
Set tasks, not questions
We ask people to do the thing rather than to say what they think. Opinions about an interface are unreliable. Watching someone fail to complete a purchase is not.
Run the sessions and watch together
Your team observes at least some of them live, because a clip of a customer giving up ends an internal argument faster than any report.
Report what to change
Findings ranked by how many people they affect and how badly, with the specific change each one implies.
Where this isn't the right fit
If the decision is already made and what you want is evidence to support it, research will either waste your money or embarrass you. Both outcomes are avoidable by saying so upfront.
If you need statistical confidence about proportions, how many users prefer this, what percentage would pay, that is survey or analytics work rather than usability testing. Five sessions will tell you what is broken and will not tell you how many people it affects. And if the product does not exist yet in any form, there is nothing to test. Research at that stage is interviews and market work, which is a different service.
