The numbers pass: every claimed metric traced to the export
When a number looks like news, take it to your analyst
The numbers pass catches figures that don't match the export. A different claim gets straight through it: a number that matches the export exactly and still points the wrong way.
Ask the model what else the export shows and it will find patterns. Some of them are real leads, and running that first pass yourself is a good use of AI. You get a lead in minutes instead of waiting a week for someone to have time. The catch is that a pattern in one export comes with a guess about why, and testing the why is someone else's craft. Your analyst, or whoever owns the data (the email platform admin, the finance team), knows whether the groups being compared are alike and what else changed that week.
So before a pattern changes anything, send them a short note with four parts:
- The question. What decision is waiting on this?
- The file. Which export you used, and which rows or tab.
- The claim. What the AI said, with its numbers.
- What would change your mind. The result that would make you drop the idea.
A note like that takes five minutes and gets a real answer. "AI says morning sends win, can you confirm?" gets a quick yes from someone busy, or no reply at all.
One more call on the relaunch export, and then the lesson is done.