Turn vague data requests into structured analysis briefs
When a stakeholder says "can you look into churn?", this skill generates the clarifying questions, defines the metric, estimates the effort, and produces a structured brief — before you write a single query.
Create a skill called "Request Scoper". When I paste a data request from a stakeholder (usually vague, like "Can you look into why churn is up?" or "Pull me the numbers on our marketing campaigns"), analyze it and produce: (1) A list of ambiguities and missing details (time period, metric definition, segments, comparison baseline, output format). (2) A structured questionnaire I can send to the stakeholder to clarify. (3) Proposed metric definitions based on common interpretations and my data model. (4) An effort estimate: simple (< 1 hour), moderate (1-4 hours), complex (1-2 days), or research project (1+ weeks), with reasoning. (5) A structured analysis brief with agreed scope, deliverable format, and timeline. If I later paste follow-up requests from the same stakeholder, flag scope creep beyond the original brief.
Vague requests are the biggest time trap in analytics. "Look into churn"
could mean a 2-hour query or a 3-week research project. This skill front-loads
the scoping so you know exactly what's being asked before committing time.
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