Thinking Styles in the Problem Space: Indi Young

Title: Thinking Styles in the Problem Space - from assumptions to supporting diversity in your digital products Abstract: We all fall into the hole of making assumptions about others or believing correlation is causation when it comes to algorithms, data interpretation, and digital products. Seemingly minor decisions have proven to have bigger and bigger repercussions. “The more technology becomes embedded in all aspects of life, the more it matters whether it’s biased, alienating, or harmful.” (Sara Watcher-Boettcher, Techically Wrong) The roots of this problem are many, but a core part of it is the belief in writing one algorithm that will serve every user. There is a way to dispel assumptions by understanding groups in a deeper way. Taking time to listen, developing empathy before applying it, and mapping out approaches and different thinking styles will help your team become aware of exactly which contexts are out there. You can systematically map out whom and when your products will serve people, then plan to support each combination appropriately, with respect. For the business side, this has the natural effect of expanding markets and creating new opportunities. For those who have a passion to support others, this kind of deep understanding provides welcome clarity of direction. Having a concrete way to harness this understanding in your work is the real value. Bio: Indi Young is the author of two books, Practical Empathy and Mental Models, and has presented at over 40 conferences worldwide. In 2001, Young cofounded Adaptive Path, groundbreaking UX agency with the mission to transform communities through design. Young received her bachelors in computer science from Cal Poly San Luis Obispo. In her early projects, Young realized that there was a gap between what her team knew, as engineers and creators, and what people were trying to ultimately accomplish. Young's career has been dedicated to closing this gap.