AI Design Strategy (3 hour course)

Almost 90% of AI initiatives fail. In addition, UX teams often fail to recognize situations where a little simple AI would add real customer value. This workshop takes AI research from the Human-Computer Interaction Institute at Carnegie Mellon University and adopts it for professionals, to create a new suite of design tools to find the best places in your product to apply AI.

This hands-on workshop teaches a set of new techniques that design leaders can take back and start using immediately. The workshop features short lectures to introduce a technique, then exercises working with the method directly.

We’ll start with Matchmaking: a method to connect user needs and known issues with AI capabilities to generate dozens of potential ideas. Then we’ll rapidly evaluate those concepts to eliminate concepts that are high-risk and technically-challenging. We’ll use a Pugh chart to rank the remaining ideas, and then do a Consequence Scanning exercise to uncover any unforeseen issues with the concept—and consider how to mitigate them.

In this Workshop you will learn

• The Matchmaking technique that connects user needs with AI capabilities
• How to evaluate AI concepts based on their risk and technical complexity
• How to rank potential AI concepts based on their feasibility, viability, and desirability
• How to forecast potential unintended consequences of your proposed AI concepts