10 – Design Thinking for Graph Data: The Secret to Successful Graph-Powered Apps

• Karen Passmore, CEO, Predictive UX
Session type: Lightning Talk

Abstract: Data that isn’t findable, easy to use, and actionable causes project failures, especially when you need to connect multiple, disparate sources of data and content. That’s why it’s critical for enterprises to practice design thinking to ideate, design, and test graph-based products when collaborating with users, data consumers, business leaders, and data experts. Design thinking is a UX method for collaboratively and iteratively designing content and data solutions based on user needs and testing. It puts business, data experts, data consumers, and users at the center by defining user journeys and pain points on both the front-end and backend to tie app and data flow to scenario-specific outcomes. This approach puts companies on track to reap their expected returns and nurture the health of content and data products with a defined governance structure for managing change over time. The result: apps full of graph-powered data insights and integrated, usable experiences that grow and protect revenue. In this talk, we take a look at design thinking applied to graph data, using real-world case studies from our clients.