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How CEOs Should Actually Use Data
Most CEOs have a data problem they would never describe as a data problem.
They have dashboards. They have analytics tools. They have a head of revenue operations or a fractional CFO or a marketing lead pulling reports. They have, somewhere in a Slack channel or a shared drive, more data about their business than any leader fifteen years ago could have imagined having.
And they still make most of their real decisions on gut.
I had a conversation recently with two professionals who coach businesses on data. Both of them are huge proponents of data dashboards. Both of them build dashboards for their clients. Both of them, on closer inspection, struggle to actually use data themselves.
The truth is, using data is deceptively hard. Everybody knows it's a good idea. Almost nobody has built the muscle. The reason is not laziness or intelligence. The reason is that the way most CEOs try to start is the wrong way to start.
Here is what actually works.
The standard CEO move with data goes like this.
Decide the business needs to be more data-driven. Authorize a project to build a dashboard. Pay someone to wire up the integrations. End up with a beautiful, automated, real-time view of everything.
Open it twice. Show it to the board. Stop looking.
The dashboard becomes a museum exhibit. Pretty, expensive, occasionally referenced when an investor visits.
The reason this fails is structural. The leap from "no data habit" to "fully automated dashboard you check obsessively" is too big. There is no on-ramp. The dashboard is built for a habit that doesn't exist yet, so the habit never forms, and the dashboard goes quiet.
You don't build a running habit by buying a treadmill. You build a running habit by running. The dashboard is a treadmill. The habit is the actual thing.
So we start with the habit.
The first move is smaller than you think.
Pick one or two numbers. Maybe three. Not ten. Not the full executive dashboard. One or two numbers that genuinely matter to where your business is right now.
Track them every week.
That's the entire starting move.
I bet you weren't thinking that small. Most CEOs aren't. The instinct is to build the full system. The right instinct is to install the habit of looking at numbers regularly, and then let the system grow from there.
Once you've been looking at one or two numbers every week for a month, you'll know which numbers you actually wanted to be tracking. You'll know which questions keep coming up.
You'll know what's missing. Then you add. And add again. The dashboard you build organically is the dashboard you actually use.
This one will sound backwards.
Don't automate it yet. Type the numbers in by hand.
Open the simplest spreadsheet you can find. First column: the metric you're tracking. Top row: each week of the year. Every Monday morning (or whatever cadence works), you, personally, look up the number and type it into the box.
Yes, it takes ten minutes. Yes, you could automate it. Don't.
Manual entry forces you to actually look at the number. To put it next to the previous week's number. To notice when something moved. The act of typing it builds the muscle the automated dashboard can't build for you, because the automated dashboard removes the moment where you have to engage with the data.
Once the habit is real, once you've been tracking the same handful of numbers for months and you genuinely notice when something changes, then you can automate. The automation becomes a time-saver instead of a substitute for engagement.
I did this myself for years. I now have an assistant who pulls the numbers for me. I still personally review each line item every week. We even built a redundancy into the process: when she finishes the update, she pings me in Slack with the link, because I knew that the moment I stopped entering numbers myself, the risk of skipping the review went up. The system is designed to make the review unavoidable.
The discipline is the asset. The dashboard is the tool. Don't confuse the two.
Not all numbers are the same. Three categories matter, and the mix matters more than people realize.
Outcome metrics. These are the results you ultimately care about. Revenue. New customers. Money raised. Deals closed. They are real and they are important. They are also things you don't have direct control over in the moment. Someone else has to take an action for these numbers to move.
Execution metrics. These are the activities you do have direct control over. Calls made. Pitches delivered. Demos run. Pieces of content shipped. Outreach sent. If you've ever written a SMART goal that actually worked, it was probably this kind.
Thermometer metrics. These are numbers you watch not because you have a target, but because a sudden spike or drop tells you something is happening. Website traffic is a classic one. If you're not actively running an SEO push, you don't have a goal for it. You're watching for the spike that means an article ran in a major publication, or the drop that means something is broken, or the surge that means a bot is hammering the site. The number itself doesn't matter. The change does.
The mix that works, especially when you're new at this: roughly ten to twenty percent outcome metrics, the rest execution and thermometer.
That ratio surprises CEOs. Most leaders want to track outcomes because outcomes feel like what matters. But outcomes are downstream. By the time the outcome metric tells you something is wrong, the cause is weeks or months behind you. Execution metrics tell you whether you are doing the plan that produces the outcomes. They are the early warning system.
Watching only outcomes is like only checking the scoreboard. Watching execution and outcomes together is like watching the scoreboard and the plays.
The numbers exist. The habit is forming. Now lock it in.
The single highest-leverage move is this: put the data review on the agenda of a recurring meeting that already exists.
If you have a weekly leadership team meeting, ten minutes goes to the dashboard. If you have a Monday solo planning block, the dashboard is the first thing you look at.
If you're operating mostly solo, put a recurring task in your calendar with a hard time block. Twenty minutes. Same time every week. Non-negotiable.
The reason this matters: data review is exactly the kind of work that quietly slides when something more urgent shows up. Pinning it to an existing recurring event makes it harder to skip. Treating it as the first item, not the last, means it actually gets attention instead of being the agenda casualty when the meeting runs long.
Build the redundancy too. Multiple touch points. Calendar reminder, meeting agenda, Slack ping, whatever. The cost of the redundancy is small. The cost of letting the habit lapse for two months is huge, because you lose the trend data that makes everything else meaningful.
Three things shift inside about ninety days.
Decisions get sharper. You stop arguing about whether a strategy is working because you can see whether the leading indicators are moving. The conversation moves from opinions to numbers, and the loudest person in the room stops winning by default.
You catch problems earlier. Execution metrics start moving before outcome metrics do. By the time revenue dips, the outreach number has been flat for three weeks. You see it before it becomes a fire.
Strategy gets less abstract. Once you've been watching the same numbers for a quarter, you start to see the system that produces them. You see which inputs actually move which outputs. You see which initiatives produce signal and which produce nothing. The next planning cycle is built on what you've learned, not on what you remember.
Stop for a moment.
If I asked you to name the two numbers that matter most to your business this quarter, could you do it without looking? If I asked when you last sat with those numbers and felt them, not just glanced at them, could you tell me?
If either answer is uncomfortable, start there.
Pick one or two numbers. Build the spreadsheet. Type them in by hand every week. Bake the review into a meeting that already exists. Watch what happens over the next ninety days.
The leaders who use data well are not the leaders with the fanciest dashboards. They are the leaders who built the habit of looking before they built the system to support it. The habit is the asset. Everything else is decoration.
Two numbers. One spreadsheet. One recurring meeting slot. That's the entire starting line. Most CEOs never cross it, which is exactly why crossing it is one of the highest-leverage moves you can make this quarter.
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