Most standups are status updates. Most retros repeat themselves. Most planning sessions start cold. Agile Events transforms every Agile Event from a ritual into a decision — backed by real sprint intelligence.
Agile Events are the heartbeat of every agile team. But without intelligence behind them, they become habit rather than habit-forming.
Every session starts with a blank page. You know the team — but you don't always have the sprint data, retrospective history, and engagement signals in front of you before you walk in. Preparation takes hours you don't have.
Sprint planning begins without a data-backed view of team capacity, previous commitment accuracy, or unresolved dependencies. Estimates are guesses disguised as commitments.
Teams identify the same problems, commit to the same fixes, and report back the same results — because nobody is tracking whether the actions were ever implemented, and whether they worked.
Select a Agile Event type to see the AI-generated brief — sprint signals, suggested talking points, historical context, and action tracking, all prepared automatically before the session starts.
Performalise supports every Agile Event in the sprint cycle — with data-backed briefs, facilitation prompts, and automatic follow-through. From Monday's standup to the end-of-sprint retrospective.
Capacity analysis, commitment accuracy history, unresolved dependencies, and story scoring — all surfaced before the planning session begins.
Highest ROIActive blockers, at-risk stories, and team engagement signals surfaced before the standup — so the 15 minutes focuses on action, not status.
Daily intelligenceStory readiness scoring, RICE prioritisation signals, and dependency flags — so every item entering the sprint is well-understood and genuinely worth building.
Value filterDelivery vs commitment comparison, stakeholder talking points, and demo agenda structured around what actually matters to the audience in the room.
Stakeholder readyPre-session brief with action history, sentiment trends, and suggested opening questions. Post-session action tracking ensures nothing slips through.
Most impactfulAlbert AI connects to your sprint data before every Agile Event — and follows up after every commitment is made.
Most retrospectives identify the same problems every sprint. Agile Events breaks the cycle — tracking every action from the moment it's committed, resurfacing unresolved items, and measuring whether the changes actually worked over time.
Agile Events surfaces the signals planners need before the session starts — team capacity, commitment accuracy history, unresolved dependencies, and story complexity indicators. Estimates become informed commitments rather than optimistic guesses.
Agile Events serves coaches, product leaders, and teams differently — but always from the same source of sprint truth.
Sprint planning used to take ninety minutes and still miss things. With AI-guided prep, we're down to forty minutes and the backlog is sharper.
The retro intelligence feature surfaces patterns across sprints — themes I'd never have spotted reviewing one retro at a time.
Our review meetings went from status updates to strategic conversations. The data does the reporting so we can do the thinking.
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