You've been tracking a metric for months. The dashboard looks great. Then someone asks a simple question — "So what do we do about it?" — and the room goes quiet.
That silence is the real warning sign.
Bad metrics don't announce themselves. They blend in with the good ones, accumulate in dashboards, and quietly waste the time of everyone who reports on them. Knowing how to spot them before they become fixtures is one of the most underrated skills in business.
Here are seven signs you're tracking the wrong metric — told through the lens of a story that knows a thing or two about bad intelligence.
The Spice Must Flow — but are you measuring the right thing?
In Dune, the entire Imperium runs on spice. Empires rise and fall based on who controls it, who moves it, and who consumes it. But imagine if the Spacing Guild started tracking the colour of the spice instead of its yield. Beautifully formatted reports, perfectly consistent measurements — and completely useless for navigating the universe.
That's what a bad metric does. It looks like intelligence. It behaves like intelligence. It just doesn't help you make better decisions.
Sign 1: Everyone looks at it but nobody does anything
A metric that informs no decision is a decoration.
If your weekly review includes a number that people nod at and move past, ask yourself: what would change if that number doubled? What would change if it halved? If the honest answer is "nothing," the metric has no business being on your dashboard.
Paul Atreides didn't track sand worm sightings for sport. Every data point had a decision attached to it — move, wait, or act. Your metrics should work the same way.
The test: For every metric you track, name the decision it informs. If you can't, cut it.
Sign 2: It goes up when the business gets worse
This is the trap of vanity metrics — numbers that feel good but move in the wrong direction relative to what actually matters.
A support team might celebrate a spike in ticket volume as "high engagement." A sales team might cheer a surge in demo requests while conversion quietly collapses. The metric goes up; the business suffers.
The Harkonnen approach to management was exactly this: report impressive-looking numbers to the Emperor while Arrakis burned underneath. Surface metrics looked stable. Reality was chaos.
The test: Map your metric to a business outcome. If the two can diverge without triggering an alarm, the metric is misleading you.
Sign 3: Different teams calculate it differently
If your sales team and your finance team both report "revenue" and arrive at different numbers, you don't have a revenue problem — you have a definition problem.
Inconsistent metrics are worse than no metrics. They create false confidence, generate arguments in meetings, and make it impossible to hold anyone accountable. When two teams each believe their number is correct, trust erodes and decisions stall.
The Great Houses of the Landsraad couldn't agree on spice taxation precisely because each House calculated tribute differently. The result was perpetual conflict and no clear picture of who owed what to whom.
The test: Ask two teams to define and calculate the same metric independently. If the results differ, the metric isn't ready to drive decisions.
Sign 4: Nobody knows who owns it
A metric without an owner is a metric without accountability.
If no one is responsible for a number — for understanding it, explaining it, and acting when it moves — then no one will. It will sit on a dashboard, refreshing automatically, observed by everyone and owned by no one.
Ownership doesn't mean one person controls the outcome. It means one person is accountable for understanding it and communicating what it means.
The test: Name the owner of every metric on your dashboard. If you hesitate, the metric is already in trouble.
Sign 5: It's easy to improve without improving the business
This is Goodhart's Law in action: when a measure becomes a target, it ceases to be a good measure.
Teams are clever. If you reward them for hitting a number, they will find ways to hit the number — including ways that don't actually help the business. Support teams close tickets faster by closing them prematurely. Sales teams hit call volume targets by making shorter, lower-quality calls. The metric improves; the outcome doesn't.
In Dune, the Spacing Guild's navigators could chart a safe path through folded space — but only because they were optimizing for actual arrival, not for the appearance of navigation. A navigator who faked the math would crash the ship.
The test: Ask whether a team could game this metric without delivering real value. If the answer is yes, redesign the metric or add a counterbalancing measure.
Sign 6: It only tells you what happened, never why
Lagging indicators have their place — they confirm outcomes and validate strategy. But a dashboard full of lagging indicators is a rearview mirror. You can see exactly where you've been and nothing about where you're going.
If every metric on your dashboard is historical, you're flying blind. You'll know the ship crashed. You won't know why, and you won't see the next obstacle coming.
The Bene Gesserit didn't rely solely on what had already happened. Their entire methodology was built around leading signals — patterns, probabilities, early indicators — that let them act before events became irreversible.
The test: For each lagging metric, identify at least one leading indicator that predicts it. If you can't find one, you're reacting instead of anticipating.
Sign 7: You can't explain what decision it informs
This is the final and most important test — and it folds back to where we started.
A metric exists to reduce uncertainty about a decision. If you can't articulate which decision a metric supports, it shouldn't be on your dashboard. Not because the number is wrong, but because it's doing nothing useful.
"We track it because we always have" is not a reason. "We track it because leadership likes to see it" is not a reason. A metric earns its place by making someone's decision clearer.
The test: Complete this sentence for every metric you track: "We monitor [metric] so that we can decide [decision]." If the sentence doesn't complete naturally, the metric doesn't belong.
The real cost of bad metrics
Bad metrics aren't neutral. They consume time in reporting, create false confidence in strategy, and crowd out the metrics that actually matter. Every hour spent discussing a useless number is an hour not spent on a useful one.
The Imperium in Dune collapsed in part because its intelligence systems were optimized for control, not for truth. The metrics that reached the Emperor were the ones powerful people wanted him to see — not the ones that reflected reality.
Your dashboard doesn't have to work that way.
How to audit your metrics
Run through this checklist for every metric on your dashboard:
- Decision link: What decision does this metric inform?
- Direction check: Does improvement in this metric correlate with business improvement?
- Consistency check: Does every team calculate it the same way?
- Ownership check: Who is accountable for this metric?
- Gaming check: Can this metric be improved without delivering real value?
- Timing check: Is there a leading indicator that predicts this outcome?
- Clarity check: Can you explain this metric to someone outside your team in one sentence?
If a metric fails two or more of these checks, it's a candidate for removal or redesign — not just refinement.
What a good metric looks like
A good metric is specific, owned, actionable, and honest. It tells you something you didn't already know, points toward a decision, and resists being gamed. It connects to an outcome that actually matters to the business.
You don't need more metrics. You need better ones.
The spice must flow — but only if you're measuring the right spice.