Episode Details
Back to Episodes
Why Leadership Thinks Copilot Is Useless (And Where The Numbers Back Them Up): Entra vs Insights, Real Telemetry & How To Prove Adoption
Season 1
Published 7 months ago
Description
Most organizations quietly assume Copilot is under‑used—not because people hate it, but because the dashboards leadership is staring at are counting the wrong thing. In this episode, we walk through the “gym card swipe” problem: Entra and app sign‑in charts look impressive in a slide deck, yet they only prove that people opened Word or Teams, not that anyone actually used prompts to get work done. You’ll see how that mismatch between identity telemetry and real Copilot behavior fuels the narrative that “nobody uses it,” and how to flip the script by pulling the right usage signals, telling the story in CFO‑ready language, and targeting adoption where the data proves Copilot already helps.
THE CFO’S REPORT DOESN’T LIE – BUT IT’S NOT THE FULL TRUTH
We start with the classic scene: a CFO storms in waving an admin report that says “low Copilot adoption” and demands to know why the spend was approved. The chart isn’t fake, it’s just incomplete—showing app sign‑ins, not Copilot actions. You’ll learn how to explain, in one leadership‑friendly sentence, why a graph of Word sign‑ins is like counting gym check‑ins instead of workouts, and how to defend your rollout without hand‑waving: “sign‑ins show who opened the app; Copilot adoption means prompts and actions, which live in different telemetry.” From there, we outline a concrete plan: verify which Copilot usage reports your tenant actually exposes, enable or request the right Insights where needed, and prep a simple side‑by‑side view—door counts vs real Copilot actions—that resets the conversation from “no one uses this” to “here’s where it actually helps today.”
ENTRA VS INSIGHTS: TWO DASHBOARDS, TWO STORIES
Next, we dissect the “two dashboards” problem that quietly wrecks most adoption slides. Entra (and similar identity views) is brilliant at what it does: tracking who signed in, from where, and on which app—but it is not designed to tell a Copilot ROI story. Insights, by contrast, is where you start seeing behavior: prompt counts, app‑level Copilot activity, and sometimes department‑level patterns depending on your tenant configuration. We walk you through a practical three‑step workflow: confirm which Copilot/Insights telemetry you can see with your admin role, identify at least three dimensions (app, usage volume, department), and build anonymized, aggregated views that leadership can trust without turning adoption reporting into a privacy nightmare. The goal: stop treating door‑logs as productivity metrics and start using behavior data to decide where to invest training and enablement.
WHERE COPILOT CLICKS ACTUALLY HAPPEN
Marketing demos love to show Copilot rewriting entire strategies in PowerPoint, but real usage patterns are much more grounded. In many tenants, Copilot activity clusters in Outlook, Teams, and Word—places where people already spend their day cleaning up emails, writing updates, and fixing phrasing under time pressure. We explain why these “small win” scenarios drive sticky adoption: low risk, high repetition, and immediate payoff. Your job is to validate that pattern against your own tenant—look at which apps show actual Copilot actions, then start enablement there instead of pushin
THE CFO’S REPORT DOESN’T LIE – BUT IT’S NOT THE FULL TRUTH
We start with the classic scene: a CFO storms in waving an admin report that says “low Copilot adoption” and demands to know why the spend was approved. The chart isn’t fake, it’s just incomplete—showing app sign‑ins, not Copilot actions. You’ll learn how to explain, in one leadership‑friendly sentence, why a graph of Word sign‑ins is like counting gym check‑ins instead of workouts, and how to defend your rollout without hand‑waving: “sign‑ins show who opened the app; Copilot adoption means prompts and actions, which live in different telemetry.” From there, we outline a concrete plan: verify which Copilot usage reports your tenant actually exposes, enable or request the right Insights where needed, and prep a simple side‑by‑side view—door counts vs real Copilot actions—that resets the conversation from “no one uses this” to “here’s where it actually helps today.”
ENTRA VS INSIGHTS: TWO DASHBOARDS, TWO STORIES
Next, we dissect the “two dashboards” problem that quietly wrecks most adoption slides. Entra (and similar identity views) is brilliant at what it does: tracking who signed in, from where, and on which app—but it is not designed to tell a Copilot ROI story. Insights, by contrast, is where you start seeing behavior: prompt counts, app‑level Copilot activity, and sometimes department‑level patterns depending on your tenant configuration. We walk you through a practical three‑step workflow: confirm which Copilot/Insights telemetry you can see with your admin role, identify at least three dimensions (app, usage volume, department), and build anonymized, aggregated views that leadership can trust without turning adoption reporting into a privacy nightmare. The goal: stop treating door‑logs as productivity metrics and start using behavior data to decide where to invest training and enablement.
WHERE COPILOT CLICKS ACTUALLY HAPPEN
Marketing demos love to show Copilot rewriting entire strategies in PowerPoint, but real usage patterns are much more grounded. In many tenants, Copilot activity clusters in Outlook, Teams, and Word—places where people already spend their day cleaning up emails, writing updates, and fixing phrasing under time pressure. We explain why these “small win” scenarios drive sticky adoption: low risk, high repetition, and immediate payoff. Your job is to validate that pattern against your own tenant—look at which apps show actual Copilot actions, then start enablement there instead of pushin