Work out why players don't do what you expect

By IV Metrics · 24/06/2025

One of the most humbling moments in game development is watching a player completely miss what you thought was obvious.

You spent days tuning a tutorial, hours polishing a puzzle, weeks building a clever mechanic, and a real player skips it, ignores it, or uses it in a way that makes no sense.

That’s not failure. That’s design reality.

Players don’t always do what you expect. In fact, they rarely do. And understanding why they don’t is one of the most important skills a game designer can develop.

The Myth of the Rational Player

In design documents, players behave logically. They follow the tutorial, explore every room, experiment with systems, and play with patience. But real players don’t live in your design doc. They live in the real world, one full of distractions, assumptions, habits, fatigue, and sometimes sheer randomness.

They skip instructions because they’ve “played games before.”
They mash buttons out of panic.
They tap where they think a button should be, not where it actually is.
They ignore glowing objects because they assume they’re background art.
They quit after a single failure, even if your design planned for three.

This unpredictability is not a flaw in the player. It’s the natural result of bringing human minds into a complex system. And it’s the reason that expectation is never a substitute for observation.

Design Is an Assumption Until Proven Otherwise

Every design decision carries an assumption. You assume players will:

Notice a blinking button.
Read the tooltip.
Understand what an icon means.
Recognize a pattern or path.
Know what to do next.

But assumptions don’t survive first contact with players. What’s intuitive to you—who has stared at the game for months, may be invisible to someone seeing it for the first time.

And that’s okay. That’s part of the process.

The key is to spot these moments early, before they become friction points in the final product. And for that, you need more than intuition. You need evidence.

Where Analytics Helps—and Where It Doesn’t

Game analytics have transformed how we understand player behaviour. Funnel tracking, heatmaps, click paths, feature usage, these tools give developers data-driven insight into what players are doing, at scale.

Analytics can tell you:

Where players are dropping off.
Which levels are most often retried.
How long players spend in different menus or screens.
What features are rarely used or overused.

This kind of quantitative data is incredibly valuable. It helps you measure, prioritize, and optimize. But it does not tell you why anything is happening.

Analytics might show that 65% of players abandon a level. But it will not show you:

That they got stuck because they couldn’t see the exit.
That the UI blocked a critical button on smaller devices.
That they mistook a control for decoration.

To understand those things, you need more than data points. You need eyes.

You Have to See What the Player Saw

Watching how players interact with your game tells a story that analytics cannot.

You might see:

A player pausing for 20 seconds, unsure what to do.
Repeated taps on a non-functional element.
A moment of lag during a boss fight that kills the experience.
A hesitation near a path that leads nowhere.
A UI element that opens the wrong panel when pressed.

These are things you cannot capture through numbers alone. They are experiences, not just outcomes.

And they’re often the key to understanding why players don’t do what you expected them to.

The Role of Session Replay Tools

This is why session replay has become such a powerful method for refining player experience. By combining visual playback with analytics, these tools allow developers to:

Watch player sessions from start to finish.
Track inputs, pauses, and performance issues.
Understand the exact circumstances surrounding a drop-off or rage quit.

One example of this approach is a tool we’ve helped develop called IV Metrics. It records actual player sessions at key moments, triggered by events like tutorial skips, performance drops, or unexpected level exits.

It does not just log what happened, it shows what the player actually experienced.

IV Metrics combines:

Screen recording, so you can watch the moment a player gave up.
Frame rate and memory usage tracking, to detect performance issues.
Interaction logs, like taps, swipes, and UI use, to understand behavior.

This kind of insight changes the conversation from “we think players are confused here” to “we saw three players in a row tap the wrong icon, then quit.”

Why Players Behave This Way

So why don’t players do what you expect? A few consistent reasons emerge across projects:

1. Misaligned Assumptions

Designers know the mechanics and world intimately. Players don’t. What seems obvious to the team may be unintuitive to the audience.

2. Interface Blindness

UI elements blend into the background. Tutorials get dismissed. Buttons are too small or in unusual places.

3. Frustration Overload

A slight performance hiccup during a key moment, combined with a confusing interface or an unclear goal can be enough to make players quit.

4. Mental Models

Players bring assumptions from other games. If your game breaks those expectations, they may interpret it as a bug or a dead end.

5. Cognitive Load

Too much information, too many mechanics, or too much UI at once can overwhelm new players. They default to random actions, or worse, none at all.

These are real behaviors, and they’re best uncovered by observation, not speculation.

Observation Is a Superpower

The best designers are those who make time to watch. Not just analytics dashboards, but real gameplay. When you observe your players:

You see where their attention goes.
You spot hesitation and confusion.
You notice patterns that data can’t reveal.

Watching even 10 sessions can change how you prioritize development. You’ll find quick wins and deep insights. And often, you’ll fix problems you didn’t know existed.

Using IV Metrics to Close the Loop

IV Metrics is designed to make that kind of observation possible without needing a lab or formal user tests. It captures live player behavior, triggered at just the right moments, and gives you the visual and technical context you need to act with confidence.

You still use analytics to spot trends. But when you find something odd an unexplained spike, a drop-off, a weird stat—you use IV Metrics to see why.

That’s when everything clicks.

Conclusion: Expect the Unexpected, and Watch Closely

Game design is an exercise in humility. You build for players. But players aren’t you. They will skip, misinterpret, and ignore things that seem perfectly clear.

Analytics will tell you what they did. Observation will tell you why they did it.

So work out why players don’t do what you expect, not by guessing, but by watching. Use your eyes. Use your empathy. Use your tools.

And next time something doesn’t make sense in the numbers, remember: you might just need to press play on the session and see what really happened.