Designing ResearchOps for uncertainty

The pace of change in tech right now is wild. AI is reshaping how teams work, entire functions are being redefined, and layoffs and restructures have become part of the cycle rather than exceptions. Ways of working are shifting just as quickly—what worked six months ago can feel outdated today. In this kind of environment, how does one build systems while everything around you is still moving?

This session is about how to do ResearchOps when things aren’t stable. I’ll share how I think about designing governance, tools, and processes that can flex as things change. That includes things like tying governance to teams instead of individuals (because people move), documenting decisions so context doesn’t get lost, and choosing tools with the assumption that your requirements might look completely different in six months. I’ll also talk about how to rethink research competencies and operating models when org structures shift, without losing research quality along the way.