See yesterday's sales by 9 a.m.: what a management dashboard needs
A good dashboard isn't the one with the most charts. It's the one management opens every morning.
Plenty of businesses have a dashboard nobody looks at. It was built with good intentions, it has twenty charts, and within a month everyone has gone back to asking someone for the numbers. The problem is rarely the tool. It's what was put on it, and whether anyone trusts it.
Start from decisions, not data
Before choosing a single chart, list the decisions management makes every week. Where do we put sales effort? Which campaigns get more budget? Which region needs attention? Each number on the dashboard should help answer one of those questions. If it doesn't, leave it off.
The numbers most businesses need
- Yesterday's sales, against the same day last week.
- Month to date against target, so you know early if the month is slipping.
- Pipeline: open deals or orders, and their value.
- Leads by source, with cost per lead and how many turned into sales.
- Lead response time: how quickly new enquiries get a first reply.
That's five or six numbers. Everything else belongs on a second page, for the people who need to dig in.
Why dashboards go unused
The numbers don't match
If the dashboard says one thing and the accounts say another, people stop trusting it. Agree on how each number is defined before you build, and write those definitions down.
The data is out of date
A dashboard that's refreshed by hand once a week becomes a weekly report with extra steps. Connect it to your systems so it refreshes on a schedule.
It's built for analysts, not owners
Management needs the answer at a glance, on a phone if necessary. Save the filters and drill-downs for the teams who use them.
It starts with clean data
A dashboard is only as reliable as the data feeding it. If leads are captured by hand, sales are recorded in different places and sources aren't tagged, the dashboard will show the mess. That's why we connect data capture and reporting: when your CRM and website capture data properly, the dashboard largely builds itself.