The story centers on Internet product teams teams who turn retrospective chat into actionable improvements.
Overview
Background
Core collaborators include Scrum master, Engineering member, QA lead, each adding context in a fast-moving thread.
Without a structured capture, decisions blur and follow-through slows.
Intervention
When the thread hits a decision point, the team triggers “@Holycrab_AI summarize the retro and output improvement actions”. Holycrab AI then Retro notes, issue list, metrics, Group issues -> find root causes -> define actions, Action items + owners + tracking metrics.
The distilled output stays tied to the original context for quick review.
- Input Retro notes, issue list, metrics
- Process Group issues -> find root causes -> define actions
- Output Action items + owners + tracking metrics
Deliverables & Impact
Deliverables include Action items, Ownership, Tracking metrics, giving the team a clear handoff.
Impact shows up as Retro wrap-up: 45 min -> 8 min; Follow-through: Higher.
- Action items Executable improvement list
- Ownership Owners and due dates
- Tracking metrics Measure impact next sprint
Retro wrap-up45 min -> 8 min
Follow-throughHigher
ClosureTrackable
Example
Prompt: @Holycrab_AI summarize the retro and output improvement actions
Issue: missing regression cases
Action: cover critical paths
Metric: defect rate -30% next sprint