Building a Dashboard is the Easy Part Now
Real-time operational dashboards have gotten dramatically cheaper and faster to build over the past few years. What's changed less is why most of them still fail to drive decisions.
Building real-time operational dashboards used to require a BI analyst, a data engineer, or a consulting engagement (sometimes all three). It cost a significant chunk of money and took months to stand up.
That's not the world anymore. A technically-fluent operator can now build a functional real-time dashboard tracking core metrics in a couple days, tops, using tools that cost less per month than a decent lunch. Airtable, Notion, Retool, Sigma, plus whatever spreadsheet lives at the source of the data is all it takes. The barrier to entry has essentially collapsed.
But there are still some hard parts to standing up a dashboard.
Figuring out what to measure is still hard.
The metrics that matter for your organization aren't obvious, and the metrics that your team defaults to tracking are usually the ones that were easiest to pull, not the ones that drive decisions. Getting this wrong means wasting time on a dashboard that nobody uses.
Getting stakeholders aligned on the metrics is still hard.
Every function has its own view of what "productive" or "on track" means. A dashboard that surfaces one function's view without the others' buy-in becomes a political artifact rather than an operational one.
Designing the reporting rhythm around the dashboard is still hard.
A dashboard that nobody looks at is a screensaver. A dashboard reviewed in a meeting where nothing gets decided is theater. The dashboard has to be tied to a specific cadence of specific decisions, or it dies quietly.
Making sure the dashboard drives decisions is still the hardest.
Most operational dashboards get built, launched, celebrated, and then quietly abandoned within a quarter. The team simply goes back to running on gut instinct.
A well-built and well-used operational dashboard makes weekly leadership decisions faster, catches problems while they're still small, and reduces the amount of ad-hoc reporting that the team is doing manually. In organizations I've worked with, that's added up to a meaningful reduction in leadership time spent on manual reporting, and the difference between catching a customer issue in week one versus week six.
The technical build is no longer the work. The work is deciding what to measure, aligning the team on it, building the rhythm that uses it, and holding the discipline to keep using it. Which is exactly where most dashboard projects go wrong.
The tools are cheap now. The judgment about how to use them still isn't.