Research question
We define the decision to make, what is already known and what data is missing.
We study how people complete tasks and use a product. We help identify where they struggle and which changes are worth testing first.
You have disputed hypotheses, unexplained drop-offs, a difficult user journey or a risk of investing in a feature people do not need.
We define the decision to make, what is already known and what data is missing.
We choose interviews, journey testing or analysis of existing experience. We define participants and the limitations of the research.
We separate observations from interpretations and draw up problems, hypotheses and actions that can be tested.
Findings grounded in the collected data and recommendations for the next decisions. Research informs business judgement rather than replacing it.
Not necessarily. We can study needs before development or test an interactive prototype. The method depends on the question, not on how complete the interface is.
We first discuss the task, source material and constraints. Then we agree on scope, stages, an estimate and the approval process. If the scope changes, we discuss the effect on budget and schedule before proceeding.
We start with the decision to be made. Interviews reveal context and motivation, testing exposes difficulties in specific journeys, and analytics measures website behaviour. We choose a method or combination to suit the question.
People whose tasks and experience resemble those of real users. Together we define selection criteria and recruitment. The number and mix depend on the method and audience diversity, rather than a universal sample size.
Yes. We can start with interviews, prototype testing or observing people completing tasks. We clearly distinguish findings supported by observations from questions that still lack evidence.
Answers to the initial questions, identified difficulties and recommended next steps. We show which observations support the findings, where the limitations are and which changes deserve testing first.
That is an opportunity to refine the journey or reconsider priorities before making a large investment. We examine what failed: the need, the proposed solution or how it was explained. Then we formulate the next testable hypothesis.