Dr. George Dagliyan on Measuring Technology Adoption: The Metrics That Matter

Why usage is not the same as adoption

Many organizations declare victory the moment a new system is switched on. Dr. George Dagliyan argues that activation is only the starting line. Real adoption shows up in sustained use, in the depth of features people rely on, and in whether the technology changes how decisions are made.

Counting logins or licenses tells you that a tool is available. It does not tell you whether the tool has become part of how work actually happens.

Metrics drawn from the balance of forces

The Dagliyan Theory frames adoption as the balance between facilitators and inhibitors, weighted by brand influence. That framing suggests a richer set of measures: depth of use, time-to-value, the rate at which inhibitors are resolved, and the level of trust users report in the system.

Tracking these signals over time reveals whether facilitators are compounding or whether unaddressed inhibitors are quietly eroding momentum.

Turning measurement into action

Measurement is only useful if it changes behavior. Dr. Dagliyan emphasizes pairing each metric with an owner and a decision: if depth of use is falling, who investigates why, and what inhibitor are they empowered to remove?

Adoption metrics, handled this way, become an early-warning system rather than a vanity dashboard.

Frequently Asked Questions

How does Dr. George Dagliyan define successful technology adoption?

He defines it not as activation but as sustained, deepening use that changes how decisions are made — a trajectory in which facilitators outweigh inhibitors over time rather than a single go-live event.