Data-driven research plays a critical role in human-centered design. Whether qualitative or quantitative, data-driven research enables a more holistic understanding of current experiences and opportunities to design more effective experiences in the future. It also defines the baseline as well as the aspiration or future state. As such, these insights support the process of testing, proving, and refining hypotheses.
To do this work, we use a combination of research methods. Typically, we start by conducting ethnographic research in the field, which allows us to witness things going on and talk and interact with users. While this can be difficult in healthcare settings, due to privacy and safety concerns, it’s not impossible. We also conduct surveys, one-to-one interviews with users, small group discussions, and collaborative workshops.
By reviewing and analyzing the data, both qualitative and quantitative, we then work on designing solutions, often collaboratively sketching ideas on a whiteboard with our users, then testing and iterating until we have solutions that people are excited about.
The future of health will be increasingly digital, data-driven, and preventive. Disrupters like One Medical and Parsley Health are already reimagining how to deliver care in more data-driven, personalized, and holistic ways, and they’re focused on providing better user experiences for both patients and clinicians. But these bespoke boutique care offerings remain expensive, making them inaccessible for too many people. To make innovative clinical solutions more equitable and accessible, we need to use a human-centered design approach at scale, as it is commonly used in business.