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stakeholder-reportinglisted

Translate pipeline metrics, SLA breaches, data quality failures, and incidents into clear non-technical summaries for business stakeholders. Use this skill whenever data was late, wrong, or missing and someone needs to communicate what happened to a manager, director, or business team. Also trigger when writing incident reports, SLA breach notifications, data quality summaries, pipeline health updates, or any communication where the audience doesn't know what Airflow or BigQuery is. If the user needs to explain a technical data failure to a non-technical person, this skill should be active.
Methasit-Pun/data_engineer_claude_skills · ★ 0 · Data & Documents · score 60
Install: claude install-skill Methasit-Pun/data_engineer_claude_skills
# Stakeholder Reporting for Data Incidents ## The Communication Problem When data is late or wrong, two conversations need to happen simultaneously: the technical one (what broke and how to fix it) and the business one (what does this mean for decisions being made right now?). Data engineers are trained for the first conversation and often skip the second — which is how a 2-hour pipeline delay turns into a 2-day trust crisis. The goal of stakeholder communication is not to explain the technology. It's to answer: *What can stakeholders rely on right now? What should they not rely on? When will this be resolved?* --- ## Incident Communication Structure Every data incident notification should answer these four questions, in this order: 1. **What is affected?** — Which reports, dashboards, or decisions are impacted 2. **What do we know?** — The current state in plain language, no jargon 3. **What are you doing?** — The action being taken (not the technical details) 4. **When will it be resolved?** — A specific time estimate or next update time ### Template: Initial incident notification ``` Subject: [Data Alert] [Dashboard/Report Name] — Data delayed as of [TIME] Hi [team], We're experiencing a delay with [specific dashboard/report]. Data that should reflect activity through [expected time] is currently showing data through [actual time] — approximately [N hours] behind. Impact: [Sales dashboard / Churn model / Finance report] is showing incomplete numbers for toda