Duration
Ongoing / quarterly
Metrics & Continuous Improvement
Metrics for usage, confidence, quality, and time savings to know whether AI adoption is working — plus a follow-up rhythm to update content and course-correct.
Service at a glance
Audience
Sponsors, HR/L&D, and area managers
Outcome
Adoption dashboard with usage, confidence, and impact signals
Format
Follow-up
Who it's for
- Sponsors who need to show results from the AI investment.
- HR, L&D, and area managers tracking progress after training.
- Adoption programs that need continuous improvement, not a one-off event.
What's included
- Adoption and usage frequency metrics
- Confidence and autonomy measurement
- Feedback from participants and managers
- Time savings and rework reduction indicators
- Content updates when the tool changes
How it works
- Defining metrics for usage, confidence, learning, and impact.
- Collecting signals from participants and managers.
- Adoption dashboard with periodic reviews.
- Updating content and plan when tools change.
What you get
- Metrics plan and post-training follow-up rhythm
- Adoption dashboard with usage, confidence, and impact signals
- Time savings and rework indicators
- Content update cycle as tools evolve
Frequently asked questions
What should you measure after an AI workshop?
Beyond satisfaction, measure usage frequency, confidence, autonomy, delivery quality, time savings, rework reduction, and how many use cases moved into real practice.
How often should metrics be reviewed?
Usually on an ongoing or quarterly basis, with checkpoints to course-correct and update content whenever the tools change.
Contact
To talk about this service, write to oi@dorly.com.br.
Other services
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Enablement Assets
Playbooks, guides, prompt templates, rubrics, and knowledge bases built from your company's real context, so teams keep using AI autonomously after the workshop.