Seventy-six thousand texts between my wife and me in the last few years, and nearly every one of them was sent from another room.
(Nearly. Anyone who has texted “dinner’s ready” to somebody one floor up knows the exception.)
I dropped the whole archive into Claude and asked for two things. An honest read of us, and the stories we could laugh at. I’d tell anybody to try it. Watching years of your own life get sorted by a patient stranger makes you feel famous and audited at the same time.
I’d warmed up on a smaller version. Photos of stuff around the house and a few requests. Categorize it. Tell me how to organize it. Tell me what I could make with it for the girls (I am not crafty, so if a project can’t be traced, it isn’t happening). And tell me what I’m missing.
That last one was the best question of the bunch… and I never thought to ask it of the texts.
A couple’s thread, read end to end, is mostly a supply chain. Who’s grabbing what. Who’s picking up whom. Running ten behind. The love notes ride along, taped to the sides of the boxes. What the thread can’t hold is anything that happened with both of us in the same place, because nobody texts the person across the table. The car rides, the dinners, bedtime. None of it typed, so none of it in the data. An honest read of seventy-six thousand messages is an honest read of the hallway.
The same blind spot follows the exercise to work. Hand it every Slack, email and meeting invite, ask who you love working with most, and it will start counting. The names at the top of that count are the people you most often had to reach from somewhere else. Sometimes that’s affection. Just as often it’s a project that keeps not landing, the follow-up to the follow-up. The teammate you trust most might barely show up. The two of you settle it in four words on a call and go back to work.
In fact. A thin thread can be the best evidence of a good team.
I’ve spent a lot of my career reading other people’s data. Click paths. In-app guide completion rates. Crosstabs from a 350-person brewery survey. Every one of those dashboards has the same habit. It records whatever happened where it could see and calls that the relationship.
Meanwhile the decision to buy, or to quit, got made out loud at somebody’s kitchen table, where there’s no tracking pixel and nobody takes notes. (Although my daughter’s somehow remember every word I’ve spoken about ice cream as if it were written in stone.)
We are careful with other people’s data for a living. We question the sample. We ask what it can’t see. Then we finally point the thing at ourselves and take the readout like a horoscope.
Read your own the way you’d read a customer’s. Generously, with one eyebrow up. Then ask it the house question. What am I missing?
More times than not, you can come up with a better answer than AI can. Because you’ve been in the rooms.
Stay Positive & Dinner’s Ready…
