Weekly Sprint Planning
Sprint planning pays back when the meeting is short and the tracker reflects what got agreed. This playbook does the refinement work before the call, walks the team through a focused agenda, and writes the resulting scope, owners, and estimates back to your tracker.
The problem
Planning meetings run 90 minutes, the tracker doesn't reflect what got agreed, and refinement happens (or doesn't) somewhere between three tools. Mid-sprint you find a ticket missing acceptance criteria, scope drifts, and the retro spends 20 minutes relitigating estimates from a meeting nobody fully remembers.
How DataChi runs it
DataCHI pulls the open backlog, scores tickets against the current goal, and proposes a sprint scope based on the last few sprints of throughput. It drafts an agenda with the items that actually need discussion, flags missing acceptance criteria, and writes confirmed scope, owners, and estimates back to Jira, Linear, or ClickUp once the meeting wraps.
What's included
- Pre-meeting backlog refinement against the current goal
- Proposed sprint scope based on rolling throughput
- Agenda focused on the tickets with real open questions
- Acceptance-criteria gaps flagged before the meeting starts
- Decisions, owners, and estimates written back to Jira, Linear, or ClickUp
- Velocity and scope-churn trends in the team Slack channel
Who it's for
Engineering managers, product managers, and tech leads who want planning to take 30 minutes and produce a tracker that matches what was agreed.
Outcomes
- Planning ends in 30 minutes with every ticket owned
- Tracker matches the meeting — no separate notes doc to reconcile
- Retros stop relitigating the same scoping mistakes
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Read playbook →Ready to run Weekly Sprint Planning with DataChi?
See the playbook in action with your data, your stack, and your team.
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