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Workplace AI Adoption Metrics

Measure, segment, and communicate enterprise assistant usage to prove value and guide responsible expansion.

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Building a measurement framework

Step 1: Define adoption archetypes#

Segment your workforce into personas that reflect job context rather than demographics:

  • Customer-facing operators: Support agents, account managers, field service teams.
  • Knowledge synthesizers: Analysts, consultants, product strategists.
  • Technical builders: Engineers, data scientists, automation specialists.
  • Operational enablers: HR, finance, legal, procurement roles ensuring compliance and governance.

Each persona has different success indicators. A single adoption number is misleading.

Step 2: Map usage intentions#

Identify the primary jobs to be done for each persona. Examples: drafting correspondence, researching policies, coding prototypes, preparing compliance reports. Align survey questions and telemetry to these intentions.

Step 3: Pair quantitative telemetry with surveys#

  • Telemetry: Session counts, active minutes, tasks completed, escalation rates, reliance on legacy tools.
  • Surveys: Self-reported frequency, satisfaction, perceived risk, and skill confidence. Keep surveys anonymous to encourage honest feedback.
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