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Use these prompts and use cases to protect the business.

Top emerging support issues

Prompt
Cluster the top five new support issues surfaced in @support-channel in the last 24 hours with representative quotes and suggested mitigations. Post to #support-trends and email support@company daily.

Bug pattern detection

Prompt
Monitor for bug-like language (“crash”, “error”, “not loading”) in @support-channel for the last 24 hours, group by symptom, and attach example quotes. Post real-time to #bug-radar and email eng@company daily.

Security concern monitor

Prompt
Flag mentions of privacy, data handling, permission concerns, or leak fears found in @security-folder and @support-channel in the prior 7 days; include context and quotes. Post alerts to #security-alerts and email security@company weekly on Mondays.

Support policy opportunities

Prompt
Identify recurring friction from the last 30 days in @support-channel that could be addressed by clearer policy wording; propose three policy updates with supporting quotes. Post to #policy-suggestions and email support@company monthly.

Crisis signal identifier

Prompt
Watch for urgent crisis keywords (e.g., “outage”, “data loss”, “blocked”) in @support-channel in the last 24 hours. On detection, summarize context and impact with quoted evidence, post to #incident-room, and email ops@company daily.

Escalation forecaster

Prompt
Detect users or conversations with repeated unresolved complaints over the last 14 days in @support-channel and score escalation likelihood; summarize context and propose next steps. Post to #escalation-watch and email support@company daily.

Compliance language detector

Prompt
Flag conversations from @legal-folder and @support-channel in the prior 30 days mentioning procurement, SLAs, audits, or legal needs; include quote evidence and routing suggestions. Post to #compliance-review and email legal@company weekly on Wednesdays.

Incident pattern summary

Prompt
Summarize incident-type conversations from @incident-project and @support-channel over the last 90 days, group by root cause, and attach representative quotes. Post to #postmortem and email eng@company monthly.

Quality feedback loop

Prompt
Surface where users express confusion or inconsistent behavior over the past 30 days across @product-folder and @support-channel; group by theme and include quotes. Post to #quality-feedback and email design@company weekly on Thursdays.

Support volume forecast

Prompt
Using recurring topics and recent trend acceleration observed in @support-channel over the prior month, forecast likely support drivers for the next four weeks. Post to #support-forecast and email support@company monthly.