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