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Measure What Matters: Unified Performance & ROI

Event Date: December 2, 2026, 10:00 AM in Pacific Time (US and Canada)

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Customer Service Leader
Development Leader
Quality Assurance Leader
Industry
Customer Service Leader
Development Leader
Quality Assurance Leader
Products
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Webinar Overview

Join us for part four of the webinar series that introduces a single view for measuring the impact of human and AI performance together, built on a unified data layer that overlays skills, call drivers, KPIs, learning, and more, so you can clearly see what’s driving results for your customers and what isn’t. Proving ROI becomes an ongoing capability instead of a once-a-year consulting project, giving you a straightforward, defensible answer instead of one you have to piece together after the fact.

Every CX leader gets asked whether their investment in people and AI is paying off. Most can only answer for one side of that equation at a time.

Whether you’re evaluating new technologies or looking to modernize your approach to training, coaching, quality, and AI, the webinars in this series exploring how Zenarate helps organizations build a closed loop approach to frontline performance. The webinars will provide practical strategies, live demonstrations, and real-world examples of what’s possible with the Zenarate platform.

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Key Takeaways

One Answer for Both Sides of the Investment

How measuring human and AI performance in a single view replaces the usual split reporting, so you can answer the ROI question without caveats about which half you're describing.

A Unified Data Layer, Not a Stitched-Together Report

How overlaying skills, call drivers, KPIs, and learning data in one place shows what's actually driving customer results and what isn't.

ROI as an Ongoing Capability

How continuous measurement replaces the once-a-year consulting exercise, so the number is current when leadership asks for it.

A Defensible Answer, Ready When You Need It

What it takes to walk into a budget conversation with evidence already assembled rather than reconstructed after the fact.

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