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Gathering user insights can be quite overwhelming especially when thinking about the various user research methods and data analysis tools. It's not uncommon to question when to use these methods, if can they can be integrated into an existing user research process or what type of data will be collected. By having a ready-made toolkit for user research, teams can organize fast and create a custom strategy for any stage of the project.
Various user research methods can be used at different times and provide an array of data. Understanding how to use each method in agile, and more often than not, a remote environment can be quite challenging with little time to prepare, set up, and execute. Having a foundation that allows teams to hit the ground running and answer UX-related questions, makes them that more likely to gain buy-in and succeed in organizations.
User research as part of design strategy, shouldn't be defined for the sake of being part of a process, it should differ that process according to human insights. Qualitative or quantitative, attitudinal or behavioral - data always has the better idea.
Designing digital products with the intent to learn from defined user touchpoints, allows for the evidence needed to create something more likely to succeed among end-users. Some of the biggest challenges in design today go beyond daily complexities and include a more holistic task of integrating digital experiences organically into people's lives. That action requires a level of understanding of the human experience that cannot be replaced by intuition or sometimes even heuristics.
Observing research techniques as embedded processes instead of optional add-ons, enables powerful, informed internal teams and keeps those teams proactive by sharing a common product understanding.
This research is focused on keeping user research methods understandable, reusable and scalable.
This research contains a modular toolkit containing user research templates, methods and more:
Design Sprint Setup
User Story Mapping