Experiencing Data w/ Brian T. O’Neill  (AI & data product management leadership—powered by UX design)

050 - Ways to Practice Creativity and Foster Innovation When You’re An Analytical Thinker


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50 episodes! I can’t believe it. Since it’s somewhat of a milestone for the show, I decided to do another solo round of Experiencing Data, following the positive feedback that I’ve gotten from the last few episodes. Today, I want to help you think about ways to practice creativity when you and your organization are living in an analytical world, creating analytics for a living, and thinking logically and rationally. Why? Because creativity is what leads to innovation, and the sciences says a lot of decision making is not rational. This means we have to tap things besides logical reasoning and data to bring data products to our customers that they will love...and use. (Sorry!)

One of the biggest blockers to creativity is in the organ above your shoulders and between your ears. I frequently encounter highly talented technical professionals  who find creativity to be a foreign thing reserved for people like artists. They don’t think of themselves as being creative, and believe it is an innate talent instead of a skill. If you have ever said, “I don’t have a creative bone in my body,” then this episode is for you.

As with most technical concepts, practicing creativity is a skill most people can develop, and if you can inculcate a mix of thinking approaches into your data product and analytical solution development, you’re more likely to come up with innovative solutions that will delight your  customers. The first thing to realize though is that this isn’t going to be on the test. You can’t score a “92” or a “67” out of 100. There’s no right answer to look up online. When you’re ready to let go of all that, grab your headphones and jump in. I’ll even tell you a story to get going.

 
Links Referenced

Previous podcast with Steve Rader

 

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Experiencing Data w/ Brian T. O’Neill  (AI & data product management leadership—powered by UX design)By Brian T. O’Neill from Designing for Analytics

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