Here’s a confession: we’ve all had that Friday afternoon moment. You open your timesheet, which you’ve been putting off since Tuesday, and you try to reconstruct your week from memory. What did you work on Monday? Was that meeting 45 minutes or an hour? Did you log those two hours on the client project or did you forget? You end up filling in numbers that feel approximately right and hoping nobody looks too closely.
This isn’t a laziness problem. It’s a friction problem. The timer lives in a completely different app from the work. To log time, you have to stop what you’re doing, go somewhere else, find the right project, type in a number, and then navigate back. That’s 90 seconds of interruption for every task. Nobody does it consistently. And the data you end up with reflects that.
So we put the timer where the work is
In Gript, the timer is on the task. That’s it, really. You’re working on something, you hit start. You finish or stop, you hit stop. The time logs against that specific task without you having to go anywhere, type anything, or remember to do it later. It takes about one second.
When the barrier to tracking is that low, people actually do it. And when people actually do it, the data you get back is real, not a reconstruction, not an approximation, but an honest record of where the team’s time went. That data is worth a lot.
What you can actually do with real time data
The obvious one is billing. If you bill by the hour, accurate time tracking means you capture everything you actually worked on instead of what you remembered to write down. For agencies and consultancies, this alone pays for itself many times over.
But there are less obvious benefits that turn out to matter just as much. Estimating, for one. When you can look back and see that a project “like this one” took 60 hours last time, not the 40 you quoted, your future estimates get a lot more grounded in reality. Over time, the guesswork shrinks.
Then there’s the burnout signal. If someone is consistently logging 55-hour weeks and the board looks normal, something is wrong that you can’t see from task counts alone. Time data can surface that before it becomes a problem.
Billable vs. non-billable, the number most teams don’t track but should
One metric that tends to be eye-opening when teams first see it: what percentage of the week is actually billable. For a lot of service teams, the answer is lower than expected, sometimes significantly. Internal meetings, admin, context-switching, rework, it all adds up. And most teams are vaguely aware of this but have never actually measured it.
Gript lets you mark time as billable or not, and see that split over time. It’s not about judging people for non-billable hours, overhead is real, and nobody should feel guilty about it. It’s about knowing the actual picture so you can make informed decisions about pricing, team size, and how you structure your work.
Time tracking done badly is a chore. Done well, with the right tool, it’s one of the clearest lenses you have into how your team actually operates. We wanted to build the version people would actually use. So that’s what we did.