Copy-ready prompts for Claude or ChatGPT, organized by task. Filter by category, copy, and adapt to your data.
Here is a list of [escalations/tickets/incidents] from this week [paste data]. Group them by root cause, identify the top 3 most frequent categories, and note any category that increased compared to last week. Format as a short bulleted summary for a team update.
Here is this month's budget vs actual data by category [paste table]. Write a short narrative (under 200 words) explaining the three largest variances in plain business language, suitable for a management summary. Note where further investigation may be warranted.
Write a SQL query that [describe what you need, e.g. "finds customers who ordered in the last 30 days but had no orders in the prior 90 days"]. Use CTEs for readability, add comments explaining each step, and note any assumptions about the schema.
Here is a SQL query [paste query]. Explain what it does step by step in plain language, as if explaining to someone who understands the business but not SQL syntax.
I'm going to describe a process in rough, possibly out-of-order notes [paste notes]. Turn this into a clear, numbered standard operating procedure with defined ownership at each step. Flag any steps where the sequence or ownership seems unclear.
Here are raw notes from a meeting [paste notes]. Extract a clear list of action items, each with an owner (if mentioned) and a suggested priority (high/medium/low) based on context.
I'm going to describe a project I built [describe project]. Ask me three follow-up questions an interviewer focused on AI/analytics roles might ask, focused on impact and my specific role. Then tell me which parts of my original description were vague or generic.
Here is a bullet point from my resume describing my experience [paste bullet]. Rewrite it to highlight how this experience relates to AI-driven analytics or automation roles, without exaggerating or adding anything untrue.