I built DaytaBrain because projects kept reporting “green” right up until they failed

So here’s what happened. I spent over a decade in IT project management, and I kept seeing the same thing: a project reports green on schedule and budget, leadership feels good, and months later it misses the outcome it was approved for.

I wanted to know if it was just me. So I interviewed 20 senior leaders in 8 countries. The research was published in PM World Journal. 15 of the 20 described the same pattern without being prompted.

The status wasn’t wrong. It was answering the wrong question.

Leaders were spending 20 to 60 hours every reporting cycle assembling updates. One told me that even with all that reporting in place, he still re-checks the numbers himself because he can’t trust what reaches him. Others described teams quietly holding back red statuses until they couldn’t anymore.

Most project tools track whether work is on schedule. They don’t ask whether the project will still deliver what it was approved for.

So we built something different. DaytaBrain watches the assumptions behind each project, things like “staffing will hold” or “adoption will hit 60%,” and ties each one to the numbers that would show it breaking. When capacity drops 18% and velocity drops 15%, it doesn’t just show two red numbers. It tells you the staffing assumption is no longer holding, what that puts at risk, how many weeks you have to act, and what to do next.

No prompts, no chat. You open a project and know in about 5 seconds whether it’s really OK.

It’s called DaytaBrain. I’m looking for 50 people to try it free for 30 days on 2 real projects, every feature included, and tell me honestly what’s missing.

Would love to hear if you’ve seen a “green” project fail. What did the status miss?