Skill · introduced Week 5
Spreadsheet Analyst
Drop in a spreadsheet and get the analysis a good analyst would give you: what moved, why it probably moved, and what's worth a closer look.
Difficulty: intermediate Data analysisFinding the story in numbersSanity-checking figures
You don’t need to be a data person to get analyst-grade answers from your own numbers — you need a Skill that asks the right questions of the file the same way every time.
What you’ll build
A Skill that takes any tabular file and returns:
- The headline — the one movement that matters most, with the number.
- Drivers — what’s behind it, clearly labelled fact vs. hypothesis.
- Outliers — anything that looks wrong, duplicated or suspicious.
- Three questions — what you should ask next, and of whom.
How to build it
- Encode your standard checks in
analysis-checklist.md(totals reconcile, date gaps, top movers). - Teach it your business context — what “good” looks like for these numbers.
- Drop in a file, read the brief, and spend your time on the decision instead of the pivot table.
Start saving a day a week.
An 8-week live course — two live sessions a week (a 3-hour class and a 1-hour wrap-up) plus coursework on your own real work — that sets you up with a personal AI assistant doing real work for you.