The story centers on Gaming publishing & co-op teams who turn community chat into sentiment and requests.
Overview
Background
Core collaborators include Community ops, Product manager, Support 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 community feedback and output sentiment + requests”. Holycrab AI then Chats, posts, comments, Cluster themes -> detect sentiment -> rank requests, Sentiment brief + request list + response guidance.
The distilled output stays tied to the original context for quick review.
- Input Chats, posts, comments
- Process Cluster themes -> detect sentiment -> rank requests
- Output Sentiment brief + request list + response guidance
Deliverables & Impact
Deliverables include Sentiment brief, Request list, Response guidance, giving the team a clear handoff.
Impact shows up as Triage time: 2 hrs -> 12 min; Issue detection: More accurate.
- Sentiment brief Hot topics and trends
- Request list Top demands ranked
- Response guidance Announcement and reply tone
Triage time2 hrs -> 12 min
Issue detectionMore accurate
Response consistencyHigher
Example
Prompt: @Holycrab_AI summarize community feedback and output sentiment + requests
Sentiment: lag complaints rising
Request: performance mode
Guidance: publish notice + collect device data