User Research

User research services cover the structured methods used to understand how real people think, behave, and make decisions when interacting with a product or service. This includes qualitative methods such as interviews, contextual inquiry, and ethnographic research, alongside quantitative methods such as surveys, analytics review, and usability testing. The output is typically synthesized into personas, journey maps, and prioritized recommendations that inform product, design, and engineering decisions.

Usability testing is one method within the broader discipline of user research. User research covers the full range of methods used to understand user needs, behaviors, and context including research conducted before a product exists. Usability testing specifically evaluates how easily people can use an existing product or prototype, identifying where they struggle, hesitate, or fail to complete a task. A mature research practice uses both: generative research to understand needs, and usability testing to validate solutions.

Ideally, research begins before design work starts validating the problem and understanding the target users before solutions are proposed. Research should also continue through the design phase via usability testing on prototypes, and after launch via analytics review and follow-up studies to understand real-world usage. Teams that treat research as a one-time activity before launch miss the opportunity to catch issues early, when they are cheapest to fix.

A focused qualitative study for example, 8–10 user interviews with synthesis typically takes 3–5 weeks from kickoff to findings workshop. A mixed-methods study combining interviews, surveys, and usability testing typically takes 5–8 weeks. Ongoing embedded research functions are scoped as ongoing engagements with a defined cadence of studies tied to product roadmap milestones.

For qualitative research such as interviews or usability testing, 5–8 participants per user segment is typically sufficient to identify the majority of significant usability issues and behavioral patterns a principle well established in usability research. For quantitative research such as surveys, sample sizes depend on the statistical confidence required and the size of the target population, and are calculated as part of the research plan.

Recruitment depends on the audience. For consumer products, we work with specialist recruitment panels and screening criteria to reach representative users. For enterprise or B2B products, recruitment often draws on the client’s existing user base, customer success teams, or sales relationships, supplemented by panel recruitment where needed. Every recruitment plan includes a screener to ensure participants genuinely match the target profile not simply anyone willing to take part.

Both. Many engagements begin as a focused study to answer a specific question, while others are structured as an ongoing embedded research function a researcher or small team working within the product organization on a continuous cadence of studies aligned with the roadmap. The right model depends on the maturity of the existing research practice and the pace of product development.

Findings are delivered in formats built for use, not just review: personas and journey maps that inform design decisions, prioritized opportunity lists that feed roadmap planning, and a findings workshop where stakeholders work through implications together. Where research feeds directly into a design engagement, findings are handed to the design team with specific, evidence-backed recommendations rather than open-ended observations.