The story centers on Internet product teams teams who aggregate feedback into clear priorities and next steps.
Overview
Background
Core collaborators include Product ops, Support lead, Product manager, 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 user feedback and output a priority list”. Holycrab AI then Tickets, social feedback, support logs, Cluster themes -> score impact -> assign priority, Themes + priority list + next actions.
The distilled output stays tied to the original context for quick review.
- Input Tickets, social feedback, support logs
- Process Cluster themes -> score impact -> assign priority
- Output Themes + priority list + next actions
Deliverables & Impact
Deliverables include Themes, Priority list, Follow-up, giving the team a clear handoff.
Impact shows up as Triage time: 2 hrs -> 15 min; Duplicate detection: More accurate.
- Themes High-frequency issues
- Priority list P0-P2 ranking
- Follow-up Plans and owners
Triage time2 hrs -> 15 min
Duplicate detectionMore accurate
Response speedFaster
Example
Prompt: @Holycrab_AI summarize user feedback and output a priority list
Theme: export failures
Priority: P0 fix this week
Next: schedule hotfix