Research helps us understand why people make certain decisions, what obstacles they encounter during an experience, and what opportunities exist to improve it.

Its results make it possible to optimize digital and in-person processes, increase product adoption, improve conversion rates, reduce friction in services, and guide the development of solutions aligned with business objectives.

They do not serve the same purpose; rather, they complement each other. Analytics reveals what is happening within a product or service through behavioral data. UX research helps us understand the reasons behind those behaviors by observing, interviewing, and listening to people.

Together, they provide a more comprehensive view, enabling you to make decisions with greater confidence.

We define profiles based on the study’s questions and context. In qualitative research, we seek relevant participants to observe experiences and patterns; these findings do not automatically represent an entire population.

In quantitative studies, the sample design and analysis determine the scope of the conclusions. The proposal explains the selection criteria and the number of participants.

It depends on the scope and complexity of the project and the availability of the participants. Some studies can be completed in a few weeks, while others require several stages. Rather than a standard duration, what matters is that the methodology provides the evidence needed to answer the project’s questions and support decision-making.

Each project concludes with actionable recommendations, supported by evidence gathered during the research.

Depending on the objectives, deliverables may include prioritized findings, user profiles, experience maps, opportunities for improvement, design principles, conceptual models, or guidelines for product and service development. The purpose is to facilitate decisions that can be implemented.

Research is valuable when it succeeds in transforming observations into concrete actions. For this reason, findings are analyzed based on their impact on people’s experiences and the organization’s objectives. Rather than simply describing behaviors, the work involves identifying opportunities, prioritizing initiatives, and developing recommendations that can guide strategic and operational decisions.

Yes. A lot of research is conducted on products or services that are already in use. Analyzing real-world experiences makes it possible to identify opportunities for optimization, understand new user needs, detect barriers that affect performance, and evaluate how the experience evolves as people’s expectations and the market change.

Yes. Research yields better results when it draws on the knowledge that already exists within the organization. Throughout the project, we work alongside teams from product, technology, business, innovation, and user experience, integrating different perspectives to enrich the analysis and help turn the findings into shared decisions.

An organization derives greater value from research when it faces important decisions and needs to better understand people in order to reduce uncertainty. Whether there are questions about user behavior, growth opportunities, challenges in adopting a service, or digital transformation initiatives, research provides evidence to move forward with greater confidence and build solutions aligned with real needs.