Our approach
Two weeks of them, in fact, before anyone writes code. It's how we avoid building the wrong thing beautifully.
The four
stages
We sit with your team and watch a real project move. The tools, the hand-offs, the spreadsheet somebody built in 2019 that everyone still depends on.
A map of how work moves today, a look at your real data, and a straight recommendation: fix the setup, connect two tools, or build.
Together we decide what it does, what it talks to and what it should feel like to use. You click through a prototype before we commit to anything.
An agreed data model, clickable prototype, scope and acceptance tasks.
We build in stages, testing each one on a real project with real selections. Your designers' complaints shape the details, which is the point.
A working pilot using a checked project dataset, tested with the people who use it.
We get it ready for Monday morning, train the team, write it all down and agree what support looks like. When the practice changes, the software can change with it.
Migration notes, team training, documentation, export instructions and a support agreement.
Start small
Interviews, a map of how things work now and a look at your data. You get a recommendation and a defined first step before you commit to anything bigger.
One workflow, one real project, a handful of users. Usually $30,000 to $60,000 after discovery, and the fee is fixed before we start.
Documentation, training, your data in a format you can take anywhere, and the code is yours. Hosting and ongoing support are quoted separately.
No. "This takes someone a day every week and it shouldn't" is enough to start. We'll turn it into a scope together.
Where to start
Describe the task your team dreads and we'll tell you whether it's a setup fix, a connection or a build.