UX research
Our UX research finds out what your users need and where they get stuck, with interviews, audits, tests and data.
UX research is not one method. Which one fits depends on what you need to know: a conversation tells you why someone does something, a test shows whether a design works and the numbers show what changed. We pick the methods that answer your question and combine what comes out into one picture. Where an interview and a test point at the same spot, you have found something worth fixing. You end up knowing what to change first, and why.
- Your product keeps stakeholders happy, but hardly anyone has talked to its end users
- Your product or a feature has to solve a problem, and you want to find out how
- You don't know which kind of research you need
- A decision is coming up that you want to base on more than assumptions
- Research plan
- User insights
- Findings with priorities
- Recommendations
AI clusters conversations, feedback and behavioral data in hours; we ask the questions, watch and decide what it means.
Map
We set what you need to know, then go through your product and your data to see where people get stuck now.
- What we do
- Set the question that matters and judge where people really get stuck.
- How AI helps us
- Scans your screens, support tickets and reviews for what is already known.
- What we do
- Ask the questions, listen and ask why.
- How AI helps us
- Drafts the interview guide and transcribes every conversation.
- What we do
- Watch users work and ask what they expected.
- How AI helps us
- Tags in every session where users hesitate or get stuck.
Findings
What we saw, what it means and what to do next, in a form your team can use. Once it is live, we measure whether it had the effect you wanted.
- What we do
- Decide what the findings mean and what your team should do next.
- How AI helps us
- Clusters conversations and data in hours, not weeks.
- If you talk to your users often and get their feedback, you are in good shape. But you are not your user. You know the product inside out, so what feels obvious to your team is often where a new user gets stuck. If choices rest on what the team finds easy, research shows whether it is easy for the people you build for, before more is built on it.
- That depends on what you want to know. Interviews, observation in people's own setting, diary studies and focus groups tell you why people do what they do. User tests and a UX audit show whether a design works. Surveys and analytics measure how common a problem is. Tell us which decision it feeds and we pick from there: often one or two methods, not all of them.
- Each method takes two to four days, and methods can run side by side. Before we start, you know which ones and how long.
Is your question not here?Jasper is happy to answer it.