Measuring AI Adoption
Learn the simple signals that show whether your team is actually using AI, not just whether they have access to it.
Access is not adoption
Buying everyone an AI license feels like progress, but a seat that nobody opens changes nothing. Adoption means people are using the tool to get real work done, week after week. The first question is not how many licenses you bought, but how many people logged in and did something useful this week.
The signals worth tracking
Three signals tell you most of the story. Active users shows how many people touched the tool in a given week. Frequency shows whether they come back, like the difference between someone who tried it once and someone who uses it daily. Depth shows whether they do real tasks, such as drafting a report, versus only saying hello once and leaving.
Watch the trend, not one number
A single week is noisy, so look at the direction over time. If weekly active users climb from five to twelve to twenty over a month, adoption is taking hold. If usage spikes during a training session and then falls back to zero, you have excitement but not a habit. Pair the numbers with quick check-ins to learn why people stay or drift away.
Key takeaways
- Access is not adoption; real, repeated use is.
- Track active users, frequency, and depth of tasks.
- Follow the trend over weeks, not one noisy snapshot.
4 questions · pass at 60% to earn XP