Somewhere in your company's expense report is a graveyard: project tools nobody opens, chat apps with three messages, an analytics suite whose password nobody remembers. Software rarely fails on features. It fails on adoption — and adoption fails at selection time.
Why good tools go unused
Tools usually get picked by the person most excited about tooling, evaluated against feature checklists, and rolled out with an announcement and a hopeful emoji. The people who must live in the tool daily were never asked what their actual workflow is. So the tool models an imaginary process, and reality routes around it.
A selection process that predicts adoption
- Write down the problem first — one sentence, before you look at any product. "We lose client feedback across email threads" is a problem. "We need a platform" is a shopping urge.
- Trial with real work, not demos — run one live project through it for two weeks. Demo data always behaves; your actual work won't.
- Let the heaviest future user lead the trial — not the most senior person, the most affected one.
- Count the clicks for the most common task — the thing people do thirty times a day, not the impressive monthly report.
The migration question nobody asks
Before committing, check how you'd leave. Clean export in a standard format means the vendor competes for you every year. Data lock-in means next year's discount conversation goes badly — for you.
Fewer tools, harder use
The teams that feel most organized rarely have the most software. They have three tools everyone genuinely uses, integrated well, with owners who prune them. When evaluating something new, the best question is rarely "is this good?" It's "is this better than making our current stack actually work?"