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Azure DevOps Sprint Planning Pack From a Backlog Export

Table output Has example

Prepare capacity, goal and sprint backlog.

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[VERIFY] is an editorial flag, not a blank to fill. Wherever the prompt shows [VERIFY], check that item against a reliable source before you use it.

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Prepare a sprint plan for Azure DevOps. Backlog export (title, state, effort, priority, tags): [BACKLOG_EXPORT]. Team members with days off in the sprint: [CAPACITY_DETAILS]. Sprint length: [SPRINT_LENGTH]. Velocity of the last three sprints: [VELOCITY].

Compute capacity per person (days available times hours per day, with focus time stated), compare the total with the velocity range, and propose a sprint goal and the items that fit, showing the total effort selected against the lower velocity bound. Treat velocity as a guide, not a target. Identify items not ready, dependencies and risks, and mention that capacity settings in the sprint view may need to be filled in by the team [VERIFY].

Return a sprint backlog table with a confidence column (high, medium, low) and how you chose it, a capacity table with the arithmetic for every number, a list of items to leave out, a few stretch items to pull in if the sprint goes well, and the questions for planning.

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Replace each bracketed placeholder with your own details, then paste into Any AI or another assistant.

See an example result (fictional data)
Invented figures: 5 people, 10-day sprint, 6 person-days off, 6 productive hours per day. Capacity = (5 x 10 - 6) x 6 = 264 hours. Last velocity: 22, 26, 24 points; average = 24, range 22 to 26.
Plan: select items totalling 22 points. Sprint goal: users can export their data. Left out: 2 items without acceptance criteria. Check: selecting 22 points is the bottom of the 22 to 26 range, which leaves room for one absence. Dependencies: the export story needs the permissions story to be finished first, so it is placed second. Risk to watch: the two items without acceptance criteria could grow, so they stay out of the sprint until they are refined.

Illustrative only, made-up data. Your results will differ and must be reviewed.

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