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Oftentimes in UX research, we test different versions of an interface, aiming to understand which is best. We conduct A/B testing in the lab and launch live experiments, collecting data such as clicks and time on page. We collect data on user sentiment and satisfaction, and we think we understand which version will perform better in the wild. We come to a conclusion based on our data, but we never really know WHY one version performed better than the other. This makes it difficult to extrapolate our findings to other products and experiences we work on. It makes it impossible to understand if a version performed better due to the language or elements of the design. This is why is is important to test parts in isolation.
In this 2-hour workshop, learn how to use the Testing Parts in Isolation (TPI) Framework: a rigorous methodology used by teams at IDEO and Google. This framework enables us to iteratively test content in isolation, or test design in isolation, separate from each other. Using this method, we can remove the confounds that exist when we test content and design together, so we can be more confident in the recommendations we make to clients and the overall experiences we deliver to users.
This course in experimental design is specifically designed for UX researchers, UX designers, and UX content strategists and writers. But it's open to anybody who is interested in the intersection of content, research, and design, and anyone who wants to learn how to conduct research better than before.
After this workshop, you will be able to:
Understand and communicate the value of testing parts in isolation
Design and conduct studies in which you test content alone and design alone
Understand how to combine qualitative and quantitative methods when iterating quickly on both content and design
Understand how the framework can help you and your team align around the information users need, when they need it.