Data & Analytics prompts
SQL, dashboards, insights, statistics.
Type what you want to do — e.g. “write a cold email”, “summarise a contract”. Hit ✨ Ask AI if keyword search misses.
Breaks a top-line metric (e.g. ARR) into a tree of contributing inputs the team can act on.
Stops "improve revenue" being the only thing in the company OKRs.
Reads a CSV sample and surfaces 5-7 non-obvious insights with the supporting numbers.
Stops "I have the data, what do I do with it?" paralysis.
Designs a 6-tile dashboard layout for a stakeholder, with each tile's metric + viz type.
Stops the "let's just add another widget" creep.
Generates validation rules for a dataset — type, range, format, uniqueness, references.
Ready to drop into dbt tests, Great Expectations, or a custom checker.
Analyses a conversion funnel — identifies the leakiest step + 3 hypotheses for why.
For onboarding, signup, checkout, or any sequential flow.
Takes a vague stakeholder question and turns it into a precise, answerable analytical query.
"How are we doing?" → 3 specific questions with metrics.
Translates a plain-English question into a SQL query — with explanation + assumptions.
Useful for analysts onboarding to a new schema.
Given an unexpected metric change, lists 5 most-likely causes + the order to investigate.
Saves the "let me check every dashboard" rabbit hole.
Designs an A/B test — hypothesis, variants, primary metric, MDE, sample size, duration.
Stops "let's just see if it converts" experiments that yield nothing.
Reads cohort data + surfaces retention shape, decay rate, and "is this curve flat enough?".
For PMF tests, retention reviews, churn analysis.