tgroenwals shared this post · Sep 23
Mohammad Syed

Two teams. Same M365 Copilot license. Same budget.
Team A deployed to 500 users, ran a satisfaction survey, called it done.

Adoption rate: 12%.

Team B deployed to 40 users, built role-specific prompts grounded in SharePoint data, measured time-to-task reduction every two weeks.
Adoption rate: 74%.

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⚡ WHAT TEAM B DID THAT TEAM A SKIPPED:

1️⃣ Mapped Copilot to actual job tasks → not generic "productivity"
2️⃣ Built SharePoint-grounded prompts → per department, per role
3️⃣ Measured output quality → not just usage frequency
4️⃣ Removed Copilot where it slowed people down → friction ≠ productivity
5️⃣ Ran 2-week feedback loops → features below threshold got cut, not defended

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🔴 THE BRUTAL TRUTH:

Copilot doesn't fail because the AI is bad.
It fails because deployment teams optimize for headcount coverage instead of task fit.
Microsoft sells the seat. You have to build the adoption.

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What's your Copilot adoption rate?

Be honest. Drop a number.


🔖 Save this before your next Copilot rollout
♻️ Repost if your M365 deployment is stuck below 20%
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17 5
Dipin Kanojia Great example—, adoption follows relevance. Teams that tie Copilot to real workflows, measure outcomes, and iterate fast will always outperform broad, surface-level deployments. Mohammad Syed Apr 19 2 likes
Jason Moccia Focusing on task fit over total headcount is the only way to scale effectively, Mohammad. Apr 19 1 like