Using Analytics to Drive Quality Culture
Most teams don't have a data problem. They have a narrative problem. The metrics exist, the dashboards are built, the reports go out on schedule. And nothing changes. This session explores the gap between collecting data and conveying meaning, and why closing that gap is the key to building a culture where quality, accountability, and shared ownership aren't aspirational values but daily behaviors. Through practical frameworks, real-world examples, and a healthy dose of honesty about what doesn't work, attendees will learn how to stop reporting metrics and start telling stories that drive decisions across their entire organization, regardless of function or role.
This session challenges the assumption that more data equals more clarity. It doesn't. What drives clarity is intent: knowing what you want your metrics to convey, who needs to hear it, and what action it should trigger. Whether you sit in engineering, product, design, sales, or operations, the pattern is the same. When your data only speaks to your own team, the rest of the organization treats your priorities as optional