In a recent podcast, technologist John Heintz discussed the importance of emotions when interpreting data, emphasizing that understanding how data makes people feel leads to better decision-making. He highlighted his experience in developing an AI forecasting system, where it became evident that end users struggled to comprehend the data. This experience prompted an exploration of psychology and user experience (UX) to help bridge the gap, ensuring that advanced algorithms and mathematics translate into accessible insights for users.
We all as humans need to care how data makes us feel so that we can make better decisions with the data.
We were trying to create an AI forecasting system that was producing a lot of data, and the intended users were not able to understand it the same way we did.
We learned some interesting lessons into psychology and UX, figuring out how to make this data work for our end users.
I began a journey not just creating really cool math and algorithms, but in how to help users understand data for better decisions.
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