Four weeks of answers, and nobody has read them back

Four weeks into running a weekly review, you will have four entries. Almost nobody goes back and reads them.

I work with B2B founders at the 5 to 100 person stage who run the sales motion themselves. The previous article installed one standing question and somewhere to put the answer. This one is about the part that decides whether any of that was worth doing, which is whether the answers can be read back at all.

A record you do not read back is a diary.

Why do most weekly notes fail?

Most weekly notes fail right here. They capture what happened, which the calendar already knows. What makes a record worth keeping is that it accumulates into something you can act on, and that only happens when the same thing gets written down the same way every week.

What does a record that works look like?

The clearest example of a record that works is the forecast.

Once even two or three people are selling, the forecast becomes a blend of personalities, and every personality distorts in one of two directions. Sandbagging: the seller who calls nothing committed until the contract is countersigned, so they never miss. Wishful thinking: the seller who commits to everything with a pulse, because this one feels close.

Averaging them hides the distortion instead of cancelling it. The blended number looks reasonable and is wrong in both directions at once. That is why it surprises you at close of quarter, even when it looked stable the whole way through.

Ryan Carlin's framing of this is the cleanest I have seen this year: forecast accuracy is a rep-level property, not a pipeline-level one. Sandbaggers and wishful thinkers are both consistent, and the consistency is the useful part. Someone who lands well short of commit every single quarter is giving you the most correctable number in the company. You have been reading it as unreliable when it is the opposite of that.

Include yourself. Founders sandbag the deals they sourced and wish hardest on the ones they love. I am yet to meet the exception, and I include me.

How do you find each person's forecast signature?

You already know most of this about your people. You could probably name who runs hot and who runs cold right now. What you cannot do is say by how much, because it has never been written down in a form that lets you.

Try this. Pull last quarter's committed deals, per person, your own included. Mark what actually closed. Two numbers per person: what they said, what landed. That ratio is their signature.

That is what a record looks like when it works. Two columns, one per person, written the same way every quarter. From then on you read commits through the signature, and the forecast becomes something you adjust rather than something you believe.

This is the forecast layer of a revenue operating system, and it is nothing more sophisticated than a number written down twice.

I write about this three times a week on LinkedIn. The posts that week took pieces of this further: the mistake of averaging your gut across the pipeline, the seller whose miss was the most reliable number in the company, and the two-column exercise that takes an hour.