Imagine you have an exciting new product. It’s something your team has spent months brainstorming, planning, tweaking, and honing until it matches your collective vision. You did everything right internally. But then, after spending all that valuable time, money, and resources, something doesn’t work as you thought when you release it to the world. Something you didn’t foresee stands between your product and a happy end user. Now you’re forced to start over from scratch.
AI is not a replacement for human thought. It’s a symbiotic partner. Successful applications of AI require more than just big data, powerful processing, and complicated algorithms. Designing truly useful AI requires a complete understanding of user needs, experiences, and, on an even deeper level, psychology.
Understanding the five stages of Design Thinking is the first step to putting this innovative methodology into practice. When put into practice, Liquid’s Design Thinking for AI optimizes business data and functions with a focus on understanding the human-centered experiences that both created the data and will be driven by the data DTAI develops intelligent solutions so you disrupt your industry before your competitors.
Summarizing the key learnings from Northwestern’s Kellogg School of Management’s Design Thinking workshop and pulling together various resources as well as articles on the subject. After graduating with an MBA from Kellogg in 2005, I have been involved in many aspects of user experience and this workshop brought it all together for me.
Design Thinking consists of applying the (design) process of designing physical products to business decisions, services and even process improvement initiatives.
