Most organizations are swimming in data, yet starving for clarity. Too often, key performance indicators (KPIs) are selected based on what’s easy to track, not what truly drives results. This talk explores how misaligned metrics can quietly derail your growth, misguide your teams, and cause your expensive tools—whether a CRM, automation platform, or AI integration—to underdeliver on their promise. More importantly, we’ll explore how to fix it.
We’ll begin by looking at how poorly designed KPIs tend to shape behavior in unintended ways—fostering activity over outcomes, gamifying dashboards, or creating silos between revenue, operations, and product teams. You’ll learn the telltale signs of metric misalignment and how to trace back performance issues to the measurement layer itself. From there, we’ll walk through a framework for designing KPIs that tie directly to your business objectives, encourage the right behavior, and are actionable at every level of the org.
Drawing on real-world experience—including enterprise-wide AI adoption at Nike and CRM optimization for growth-stage companies—we’ll explore how to integrate behavioral, operational, and strategic KPIs into tools like Salesforce, HubSpot, or even GitHub Copilot. We’ll touch on DORA metrics in DevOps, sales funnel diagnostics in CRM, and intelligent automation benchmarks for AI tools.
Finally, we’ll tackle the human element: how to socialize KPIs in a way that earns buy-in across functions. You'll leave with tactics for building dashboards that drive action, not just observation, and how to translate complex data into clarity for decision-makers.
Whether you're building your first metrics layer or auditing a mature stack, this talk is a hands-on guide to measuring what matters—so your tech, teams, and tools all move in the same direction.
