Your forecast isn’t wrong. It’s just lying to you politely.

Last quarter, I watched a SaaS CFO defend a $1.5M ARR miss with a 30-tab model that looked like a Vegas light show. The formula math was flawless. The logic was delusional.

Pipeline coverage was “strong.” Churn was “stable.” And bookings? “Seasonally delayed.”

Translation: we built a castle on assumptions nobody questioned.

I’ve seen SaaS boards melt down over a $200K variance because they finally realized their forecast wasn’t predicting reality — it was protecting egos.

So I did the only rational thing left:
Stripped the model to three drivers — churn, conversion, and headcount productivity. Killed the noise. Let the data talk.

Turns out, we didn’t have a forecasting problem. We had a storytelling problem.

It’s like politics: the numbers don’t lie, but the interpretation always does.

Most CFOs won’t admit this out loud, but I will — the real risk isn’t being wrong.
It’s being believed when you are.