Product Owner / Product Manager (POPM): the class board

Two days for POs and PMs, from the trainer's own POPM board: the roles and AI's disruption of product work, preparing for PI Planning (market rhythms, just-enough pre-planning, AI-supported customer research, writing features), leading PI Planning (dependencies, AI-empowered planning, the vision, the simulation), executing iterations (continuous delivery pipeline, story map, AI-assisted iteration planning) and executing the PI (sync events, responsible AI).

2 days, 5 lessons, 32 exercises. Every class opens with the start-here strip: Trainyard intro, quick agenda, remote working agreements, team and challenge, parking lot, daily structure.

Lesson 1: Becoming a Product Owner / Product Manager

  • Lesson 1 activity: product role experienceTable
  • L1 discussion: AI disruption in Product ManagementInstructions
  • AI disruption: what we thinkSticky notes
  • AI opportunities: sort themSorting zones
  • AI prompting template (use in AI activities)Table

Lesson 2: Preparing for PI Planning

  • Lesson 2 activity: consider market rhythms for optimum release timingInstructions
  • Market rhythms: demand by quarterTable
  • Lesson 2 discussion: just enough pre-planningSorting zones
  • What is the problem? Who has the problem? Why is it important?Sticky notes
  • Lesson 2 discussion: exploring customer needs with AI-supported researchTable
  • Lesson 2 activity: writing features · exampleInstructions
  • Feature stormingSticky notes
  • Feature refinementCanvas
  • Features: benefit hypothesis and acceptance criteriaTable
  • WSJF: Cost of Delay ÷ job sizeTable
  • Feature and enabler canvases, liveLive Trainyard room

Lesson 3: Leading PI Planning

  • Lesson 3 activity: identify dependency issues and resolve themInstructions
  • ART planning boardTable
  • L3 discussion: AI-empowered PI PlanningInstructions
  • Lesson 3 activity: communicate the visionSticky notes
  • PI Planning simulation · autonomous delivery vehiclePI planning simulation · 3 teams
  • PI Outcome Planning (AI-Native SAFe)Live Trainyard room

Lesson 4: Executing Iterations

  • Lesson 4 discussion: building the Continuous Delivery PipelineTable
  • Lesson 4 activity: develop a story map · example featureInstructions
  • Story mapTable
  • Story writing: INVESTTable
  • Lesson 4 activity: AI-assisted iteration planningSticky notes

Lesson 5: Executing the PI

  • Lesson 5 discussion: enabling alignment across the ART with sync eventsInstructions
  • Sync events: what I bringSticky notes
  • Lesson 5 discussion: responsible AI and product decisionsInstructions
  • Responsible AI: trustworthy, explainable, human-centricTable
  • Iteration review and system demoSticky notes

Running it

  • Templates → Classes → Product Owner / Product Manager (POPM) → create one board per cohort. Participants open the link; no install.
  • The PI planning simulation uses the real planning room: ART board, team boards, story backlog with points, ROAM and the confidence vote.
  • Readiness checklist, feature canvases and WSJF exercises point at the live canvases, so what the class practises is what a train uses.
  • Have your own version in Miro? Export the board as CSV and import it under Bring your own boards; frames become lessons.
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SAFe® and the course name are trademarks of Scaled Agile, Inc.; the name identifies the class a trainer runs. Exercises are the trainer's and Trainyard's. All classes.