Measuring AI Adoption
Champions, team leads and the people who have to report on whether the seats were worth it
Prerequisites: Module 104 or a rollout already underway. Admin access to your assistant's usage reports, or someone who has it.
Last verified 2026-09-17
Learning objectives
By the end, participants can:
- Find and read the usage report on their own assistant, and say what "active" means on it
- Take a time-saved baseline on named deliverables before or shortly after a rollout
- Collect three quality signals that stop a speed story from hiding an accuracy problem
- Describe what good adoption looks like at three, six and twelve months
- Build the one-page scorecard and defend each line on it
- Name and refuse the vanity metrics that make a rollout look better than it is
What's in this module
6 lessons · 5 exercises · ~9 min reading
Starts withWhat the dashboards measure~2 minExecutive summary
You will learn what the admin dashboards on all four assistants actually measure, how to take a time-saved baseline that survives a finance review, which quality signals to collect, and what good looks like at three, six and twelve months. End state is a one-page adoption scorecard for your organisation with a baseline, targets by horizon, and the three vanity metrics you have agreed never to report. After this module you can read your vendor's usage report without being misled by it, run the monthly time-saved check in under an hour, and tell the difference between people chatting and people delivering.
Sources
- Claude Help Center, "View usage analytics for Team and Enterprise plans", what the Claude Analytics view measures and where it is: https://support.claude.com/en/articles/12883420-view-usage-analytics-for-team-and-enterprise-plans
- Google Workspace, "Review Gemini usage in your organization", the org-level and user-level Gemini reports in the Admin console: https://knowledge.workspace.google.com/admin/gemini/review-gemini-usage-in-your-organization
- OpenAI, Workspace analytics for ChatGPT Enterprise, the adoption and engagement views and the Analytics API: https://learn.chatgpt.com/docs/enterprise/workspace-analytics
- Microsoft Learn, Microsoft Copilot usage report, the definitions of enabled and active users and adoption by app: https://learn.microsoft.com/en-us/microsoft-365/admin/activity-reports/microsoft-365-copilot-usage
- Microsoft Learn, Microsoft Copilot Dashboard in Viva Insights, the readiness, adoption, impact and sentiment views: https://learn.microsoft.com/en-us/viva/insights/org-team-insights/copilot-dashboard
Prefer the live room?
This module also runs inside our in-person bootcamps and workshops in Copenhagen.
Rolling this out across an organisation?
We run this material as executive briefings and team programmes, tailored to your stack, your data policies, and your pace.
More in Track I
AI Strategy Briefing for Executives
What has changed in the assistants over the last eighteen months, what an organisation should do in the next ninety days, and how to frame build versus buy, capability versus tools, risk posture and return on investment so the board can decide rather than defer.
Gemini for Leaders
What a Gemini rollout across Workspace actually involves: which licences buy what, which switches the admin console has and what they default to, what Google commits to about your data, how adoption is measured with the reports you already have, what Google's own training and certification landscape offers, and how to sequence the first ninety days.
ChatGPT for Leaders
How to roll ChatGPT out across an organisation: which plan ({{fact:chatgpt_business_plans}}), what the workspace admin surface controls, where the data and training defaults sit, how to measure adoption with what OpenAI provides, what OpenAI's training and certification landscape offers your people, and a 90-day plan that survives contact with a real company.