What You’ll Learn
- Why liking and purchase intent fall short — and what behavioral metrics reveal that traditional scores can’t
- The three challenges blocking innovation — data, decision, and workflow gaps that keep research from driving real outcomes
- How one global company mapped behavioral moments — turning existing data into a clear innovation roadmap their teams could act on
- What a behavioral workflow looks like in practice — making complex metrics accessible so cross-functional teams can make confident decisions, faster
Here are three things that stayed with us from the session:
1. Your research isn’t failing. Your system is.
Most innovation teams aren’t producing bad research – they’re producing exactly what their system is designed to produce. The problem is that system is built to generate insights, not decisions. And those aren’t the same thing. Claira™ is built for the system that actually closes that gap; organizing knowledge through a behavioral lens so teams can move from understanding to action with confidence.
2. Traditional metrics describe behavior. They don’t predict it.
Liking scores and purchase intent tell you how consumers react in the moment. They don’t tell you whether someone will actually change what they do. Behavioral metrics are what bridge that gap. Claira™ applies that same behavioral intelligence to your existing data, surfacing the moments and motivations that traditional research leaves on the table.
3. The fix is architectural, not methodological.
It’s not about better techniques or smarter analysis. It’s about redesigning the process from the ground up around three shifts: start with behaviors, anchor in real moments, and design for decisions, not just insights. That’s exactly the workflow Claira™ is built to power.
