For DONNA’s seat
AI training for Product Owners.
Backlog AI features without losing the kill-switch. Write acceptance criteria the regulator AND the floor user both pass. Stop replacing senior engineer judgement with a prompt template.
If this is you
Three pains every Product Owner reports.
- 01Sales sold an AI feature you didn’t scope
- 02Compliance wants a kill-switch you don’t know how to define
- 03The vendor demo doesn’t survive contact with your actual users
What Donna drills
- Define a kill-switch metric for an AI credit-scoring model before Compliance has to
- Write the launch story you’ll tell the board if the model underperforms on one protected class
- Prioritise an AI catalogue-cleanup backlog so merchandising stops blocking everything
“The whale’s stated ask isn’t the underlying need. Let’s scope.” — Coach Donna, codename VECTOR.
What you’ll work on
Ten role modules. Twelve decision sims. Stakeholder roleplays. One coach with memory.
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The credential at the end of it
Foundations → Practitioner → Mastery. Each tier is provable.
Every certificate carries the evidence trail on the back — modules completed, sims passed, roleplays cleared, 6-axis Readiness Index. See how verification works.
Foundations→ Practitioner→ Mastery