CS

    Classify SaaS Incident Customer Impact

    by Mariusz Wrzeszczynski

    1

    Turn technical SaaS incidents into accurate customer-impact decisions and communication.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurfMManus+14 more

    See it in action

    You say

    Review the US-East-1 latency spike from 10:00 to 10:45 UTC. We saw 500 errors on the /login endpoint affecting 5% of traffic. No support tickets yet. Determine impact.

    Your agent does

    Decision: Monitor and Validate. Severity: Low. Confidence: Medium. Summary: Brief 5% error rate on login suggests limited impact, but lack of tickets may mask silent failures for a subset of users.

    What you get

    Map technical metrics to specific affected customer segmentsDecide when to issue broad vs. targeted incident notificationsDraft consistent incident updates for support and success teamsIdentify high-priority accounts requiring proactive outreachDifferentiate between confirmed impact and possible exposure

    About this skill

    Turn technical SaaS incidents into accurate customer-impact decisions and communication. Map affected accounts, workflows, regions, users, data, severity, notification duties, uncertainty, and follow-up actions. Separate confirmed impact from estimates, prioritize outreach, and draft customer-ready updates. Perfect for SaaS incident commanders, support, customer success, engineering, product, legal operations, and leadership.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    Mariusz Wrzeszczynski
    Mariusz Wrzeszczynski

    109 skills on Agensi

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