Running a PI Planning Event

The quarterly planning event is where strategy meets team reality — and where a badly prepared day costs hundreds of person-hours. This playbook is the end-to-end guide for facilitators: the six-week preparation runway, the agenda hour by hour, running the event with distributed teams across time zones (a Bangalore-Grenoble split is the worked example), dependency mapping that produces commitments rather than wishes, and the confidence vote as a real decision point instead of a ritual. Ships with the facilitator checklist and the retro format for improving the event itself each quarter.
Planning events convert portfolio priorities into team commitments, so their quality is a governance concern. This playbook standardises preparation, dependency mapping and the confidence vote — the inputs your quarterly review will later hold teams to. Weak events produce fictional commitments that surface as portfolio surprises two months later. Track this: confidence vote results and dependency counts per value stream, event over event; declining confidence is your earliest warning signal.
Planning is where your quarterly commitments are actually made, and this playbook shows what a well-run event demands from you: content ready on the six-week runway, priorities that survive contact with capacity, and a confidence vote you treat as a decision, not theatre. The Bangalore–Grenoble worked example mirrors real Schneider distribution. Takeaway for your backlog: have the top of the backlog planning-ready two weeks before the event — estimated, ordered and dependency-flagged.
The facilitator's manual: six-week preparation runway, hour-by-hour agenda, distributed facilitation across time zones, and dependency mapping that produces commitments instead of wishes. The confidence vote section is the one to internalise — a low vote must change the plan, or voting teaches people to stop voting honestly. The event retro format closes the loop each quarter. Try this with your team: run the facilitator checklist against your last event and pick the two weakest items to fix next time.
Ask Aimy
16:56:04 Aimy
Hi, I'm Aimy! Ask me anything about OLM, the learning modules or our governance processes.