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name: retro-analysis
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description: Analyse sprint delivery data and produce a structured retrospective brief
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tool_integration: Jira, Miro
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---
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# Retrospective Analysis Skill
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## Purpose
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Generate a data-grounded retrospective brief that separates facts from feelings, so the team spends retro time on solutions rather than debating what happened.
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## Required Inputs
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- Sprint tickets: planned vs. completed
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- Carry-over tickets and reasons
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- Tickets reopened after closing
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- Any incidents or unplanned work
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- Sprint velocity vs. historical average
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## Process
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1. Calculate: completion rate, carry-over rate, unplanned work percentage
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2. Identify patterns: which ticket types were most likely to carry over? Which caused blockers?
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3. Note any process or communication breakdowns visible in the data
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4. Prepare 3 "Start / Stop / Continue" prompts based on the data — not generic, specific to this sprint
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5. Suggest 1 concrete experiment for the next sprint based on the biggest friction point
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## Output Format
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### Sprint [Number] Retrospective Brief
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**By the Numbers:**
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- Planned: [n] tickets | Completed: [n] | Carry-over: [n] | Completion rate: [%]
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- Unplanned work: [n] tickets ([%] of capacity)
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- Velocity: [points] vs. [average] average
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**What the Data Suggests:**
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[2-3 observations grounded in the numbers above]
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**Discussion Prompts:**
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- Start: [specific prompt]
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- Stop: [specific prompt]
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- Continue: [specific prompt]
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**Suggested Experiment for Next Sprint:**
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[One concrete, testable process change]
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