#champion activation
6 articles
Jobs-to-be-done: How to apply it to real AI usage data
Use real AI usage data to map jobs-to-be-done, spot shallow adoption, and turn evidence into better workflows, champions, and training.
Why AI rollouts stall: Checklist
Why AI rollouts stall even when usage looks high, and how to spot shallow adoption, workflow gaps, and hidden blockers before they spread.
The re measure AI adoption audit checklist
Re measure AI adoption with a practical audit checklist that shows real workflow change, not self-reported usage, and what to fix next.
What leaders need to see checklist
What leaders need to see is evidence of workflow change, output quality, and manager support, not licence counts or survey scores.
Team AI maturity tiers: The complete guide
Team AI maturity tiers show where adoption is real, where it is shallow, and which teams need intervention. Measure it with evidence, not surveys.
How an AI adoption action plan improves workflow change
An AI adoption action plan turns tool access into workflow change, showing where teams stall and what interventions move adoption forward.