Software designers and data scientists have not traditionally been situated together within companies to team up to create great products. But when data scientists do join the fold, designers have an opportunity to tap into insights to created well-informed data-driven designs. I’ll discuss a number of recent intersections between design and data, including a number of projects at Platfora where we’ve remixed traditional design methods to create a more data-driven process. The talk will cover the role of data in a designer’s process, advice for building a data-driven product culture, an overview of Platfora research projects that offer a new spin on the tried-and-true research methods:
- Prioritizing product and usability improvements using the Kano model
- Understanding usage patterns to gauge feature adoption
- Validating, challenging, and revising product personas using archetypal behavior derived from telemetry clickstreams