Debunking 6 Myths About Metrics

Are We Measuring the "Right Things" or Just Measuring Things?

Question: What is it about metrics that organizations need to understand?

Answer: They are supposed to be aligned with the objectives & strategies of the business. Which means, the entire process of selecting which metrics to measure, should ONLY happen after a company has clearly defined what it is trying to achieve and what decisions those metrics are meant to inform.

But that’s not what happens in reality, is it? Most organizations (mostly internally) tend to approach this process in reverse.

Instead of starting with the purpose, they first start by selecting metrics they believe are important. These could be industry-standard KPIs, metrics copied from competitors, or numbers that simply “look right” on dashboards. And once those metrics are in place, everything else slowly starts bending around them.

Teams start optimizing their work, adjusting processes and building reporting structures just to support those numbers. You can probably see where this is going.

That’s usually when problems start to surface.

When metrics get chosen before the objective is fully understood, organizations often end up optimizing for numbers that don’t actually move the business forward. Reports start filling up with numbers, dashboards start looking impressive, but the insights derived from them rarely translate into meaningful decisions. I may have seen this play out a bit too closely during my career.

And the issue isn’t that people don’t know what they’re doing. More often than not, they do know. But in many corporate environments, decisions around metrics are rarely just about measurement. They’re influenced by politics, incentives, and what looks good in a meeting. Whether it sounds comfortable or not, that is the toxic reality.

But hey, I’m not here just to talk about how metrics get picked up in the most unexpected ways. I do want to talk about a few other common myths about metrics that might sound reasonable on the surface, but can quietly create inefficiencies and strategic blind spots over time. So, let’s look at a few of them:

❗️Myth 1: More Metrics Mean Better Performance Monitoring

It’s easy to assume that tracking more metrics will naturally give you more visibility, and a better understanding of performance, but that’s not always how it plays out.

In many cases, tracking too many metrics actually creates information overload. Teams struggle to figure out which numbers truly matter and which ones are just supportive indicators. In the end important signals get buried under layers and layers and layers of secondary data. The most common place you'll see this happening is in dashboards. There might be a ton of graphs and numbers, yet stakeholders are unable to answer a simple question: Which metric actually tells us if we’re succeeding?

And that’s usually where the problem starts - When everything is measured, nothing really feels prioritized. Teams end up chasing numbers that looks impressive in reports, but have little impact on the overall strategy.

It’s important to understand that effective measurement isn’t necessarily about quantity. It’s about focus. A small number of carefully chosen metrics tied directly to business objectives will almost always be more useful than a long list of loosely connected indicators.

❗️Myth 2: One Size Fits All Metrics

So, there’s this fairly common belief that successful companies must all track the same set of metrics. And, if I’m being honest, I might have seen a few managers carry this mindset during my career. Let me tell you - it doesn’t always lead to success.

What usually happens is, teams adopt measurement frameworks based on industry trends, competitor benchmarks,  or whatever popular management model is making rounds at the time. What they fail to understand is that metrics only make sense within a specific context. You can’t force every metric into the same cookie cutter.

For instance, a startup that’s focused on rapid growth will likely prioritize things like customer acquisition and engagement. A more mature company may care far more about profitability, retention, or operational efficiency. Even within the same organization, metrics that matter to marketing might have very little relevance to product development, operations, or finance.

Yet in many companies, you’ll see management teams (and sometimes governance teams) trying to push a single standardized set of metrics across different teams and functions. When that happens, people often end up tracking numbers that don’t really reflect the outcomes they’re responsible for.

Good metrics should always answer one important question: What decision will this metric help us make? If that connection isn’t clear, there’s a good chance the metric isn’t adding much value.

❗️Myth 3: Metrics Automatically Create Accountability

This one is way too common. Metrics are often introduced with the assumption that they will naturally drive accountability. The logic is simple: if performance is measured and visible, people will automatically take responsibility for improving it.

But numbers alone don’t create ownership. Metrics might be able to highlight performance, but they cannot replace leadership, communication, or culture. Those are still the things that actually drive accountability.

If responsibilities are unclear from the get go, teams may see metrics as reporting obligations rather than tools for improvement. In some cases, measurement systems can even lead to defensive behaviour, where people put all their focus on protecting the numbers rather than improving the outcomes behind them. Does it feel familiar?

For instance, if you evaluate employees purely based on metrics, on paper the numbers might look fine, but that doesn’t necessarily mean the right behaviours are happening behind the scenes (and sometimes it could quietly be hurting long-term progress in the process - you never know).

The point is, metrics work best when they are combined with certain expectations, some level of qualitative input, and open communication. They should be used to guide discussions and learning, not just pulled out as a tool to point fingers.

❗️Myth 4: Metrics Are Purely Objective

Because metrics are quantitative in nature, a lot of people assume they represent neutral and unbiased measures of success. But in reality, metrics are shaped by human decisions. How, you ask?

Even when metrics are measured the same way, using the same calculations, same benchmarks, and same time frames, the interpretation can still be completely different.

Two teams can look at the same metric and draw completely different conclusions depending on context.

Take something like a drop in customer retention, for instance. In one situation, it might feel like a red flag, but in another situation it might be expected, maybe due to pricing change. This is why metrics should never be interpreted in isolation. They need to be evaluated alongside qualitative insights, market conditions, and what you’re actually trying to achieve as a business.

Remember, numbers provide signals, but the real insight comes from context and how you interpret them.

❗️Myth 5: Metrics Drive Strategy

Metrics are incredibly powerful, no doubt, but they’re not a replacement for strategic thinking, and they definitely shouldn’t be driving your strategy.

Strategy defines where the organization wants to go and why. Metrics simply help track whether progress is being made in that direction. But in reality, you’ll often see this relationship reversed. Teams start running the business around the metrics instead of using those metrics to support better decisions. And when that happens, people stop focusing on outcomes and start optimizing for numbers.

For example, you might see teams pushing for higher engagement instead of meaningful engagement. Or rushing through customer calls just to keep handle time low, instead of actually helping the person on the other end.

On the surface, numbers look healthy, targets are being hit, but underneath, the business isn’t necessarily moving forward in a meaningful way.

❗️Myth 6: Metrics stay relevant forever

The is probably one of the most common issue - organizations continue to rely on legacy metrics. Measurements that were defined maybe two thousand years ago under completely different market conditions.

Markets evolve. Customer expectations change. Business models shift. Yet somehow, metrics remain the same. If the environment has changed but metrics haven’t, there’s a good chance some wrong things are getting measured.

For metrics to stay useful, they need to evolve with the company’s strategy and the current environment in which it operates in. Otherwise, you’re just holding on to numbers that may no longer reflect what actually matters.

The Bigger Picture

Metrics shouldn’t exist just to fill up dashboards or make year-end reports look impressive. They serve a much bigger purpose. They should help businesses make better decisions, spot risks early, identify opportunities, and keep teams aligned around the same goals.

If businesses can treat metrics as strategic tools rather than just numbers to hit, they can become a lot more useful.

Because at the end of the day, the goal isn’t just to measure performance. It’s also to understand it well enough to actually improve it.