In the world of API monitoring, average response time has long been used as a standard metric. But here's the catch: it often lies. While your dashboard might show a neat "300ms average," users could still be experiencing frustrating delays. So what's going on?

Why Average Response Time Isn’t Enough

Averages are easily skewed by outliers. One very fast or very slow response can distort the truth:

They don’t reflect spikes or patterns in performance.
They hide the worst-case scenarios.
They give a false sense of stability, especially during load or traffic anomalies.

In short, average response time tells only part of the story.

Server dashboard showing response time spikes with percentile overlays

Real-World Example

Let’s say your API has the following response times during a minute:

250ms, 260ms, 270ms, 290ms, 300ms, 310ms, 320ms, 330ms, 340ms, 3,000ms

The average is about 462ms — not too bad at first glance. But that last spike (3 seconds!) could ruin a user’s checkout experience. Your average metric masks that critical delay.

The Case for Percentile Metrics

Percentiles, especially P95 and P99, offer a more honest view:

P95 shows the response time under which 95% of requests fall.
This highlights edge cases and performance outliers.
It aligns better with user experience, where the slowest responses often matter most.

Percentile metrics help teams detect minor issues before they become major problems.

Graph comparing average response time and percentile metrics highlighting real latency issues

How Watchman Tower Helps

Watchman Tower goes beyond average values. With advanced response time monitoring, you get:

P50, P75, P95, and P99 metrics visualized in real time
Alerts based on percentile thresholds, not just averages
Clear visibility into response time distribution, even across regions
Easy-to-read dashboards that make performance anomalies obvious

This means better insights, faster diagnosis, and happier users.

Conclusion

If you're still relying on averages, you're probably missing what matters.

Start tracking your API’s performance the smart way—with percentile metrics.

Start Monitoring Smarter

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