5 Frustrating Game UX Issues (+ How AI Can Prevent Them)

Traditional game analytics tools focus on metrics like churn, retention, and session lengths. But when it comes to testing a game’s user experience, they often fall short.

Game UX issues are a key contributing factor to player churn. But they often aren’t detected by standard solutions. So you get all the typical side effects (frustration, spam buttons, drop-offs). While developers rarely get to see the full picture.

AI-driven analytics platforms solve this conundrum. Not only can they detect game UX issues – they can also recommend remedies.

How AI Detects and Resolves Game UX Issues

Today, game developers don’t need to predict every game UX issue. Why? Because AI can automatically and continuously detect frustrating issues before they impact retention rates.

Keewano’s AI-driven database infrastructure processes hundreds of millions of events 600 times faster than any existing solution. As a result, its AI Agent can clearly explain why UX issues happen and how they can be resolved.

It’s basically like having thousands of game analysts constantly making hypotheses and testing them. They’ll provide you with accurate insights that matter most to:

• Detect your game’s most pressing UX issues
• Provide actionable recommendations on how to resolve them.

So, which game UX issues can it detect and prevent?

5 Common Game UX Issues That Frustrate Players

Here are some of the most common examples that these emerging technologies can impact.

1. Rage Tapping

This is typically one of the biggest indicators of player frustration. Rage tapping happens when players expect some kind of action in the game, but it’s just not working as expected. This can often signal:

• Poor user interface feedback
• Unclear mechanics
• Input lag.

So, players will tap on a button multiple times, hoping it will produce their desired outcome.

How AI solves this game UX issue: Detecting patterns in rapid inputs and highlighting areas that may be of concern.

In Keewano’s case: It can address this game UX issue. If players are repeatedly tapping a button rapidly, its AI agent will detect it as rage tapping.

But that’s not all. It will also identify its root cause, while also suggesting ways to improve it.

2. Login Errors

The very first thing to ensure in your game is that your players can log in smoothly. Otherwise, how are they even going to enjoy it? At least give them a chance! Bottom line: If players can’t log in to the game, they’ll give up on it completely.

Unfortunately, login problems are some of the most common game UX issues out there. These can include:

• Seeing login error messages
• Login loops
• Authentication conflicts.

How AI solves this game UX issue: Pinpointing various login issues, such as repeated login attempts, exit points, and session failures.

In Keewano’s case: If players attempt to log in multiple times within seconds and then leave the game, it will flag it as a login loop issue.

By mapping errors, session attempts, and dropoff points, Keewano highlights broken login flows and provides accurate recommendations to fix them.

3. App Restarts

Players might try restarting their game if things aren’t going as planned. These can be due to progression issues, unresponsive user interfaces, and crashes.

How AI solves this game UX issue: Tracking session starts and ends to detect when players restart the app.

In Keewano’s case: It can visualize these insights in real time. For example, in a player flow, you could immediately see a correlation between login requests and session ends.

4. Navigation Loops

Players might unknowingly get stuck navigating a part of the game, unable to progress to the next stage. Contributing factors include unclear designs, broken flows, and poor menu structures.

These loops are bound to cause player frustration and, ultimately, high churn levels. Developers and analysts might struggle to pinpoint root causes.

How AI solves this game UX issue: Detecting common behaviors and dropoff points, highlighting user interface issues.

In Keewano’s case: You can investigate your traffic and see exactly what paths players took and how they arrived at a specific point in the game.

5. Tutorial Gaps

Well-oiled tutorials are essential to giving players all the information they need to play (and enjoy) a game. However, if it fails to teach fundamental mechanics, it can cause players to give up early.

How AI solves this game UX issue: Traditional analytics tools aren’t able to highlight why players get stuck on a level.

Let’s say players are churning at Level 7 during a boss fight. These tools might focus on the difficulty and provide a surface-level insight.

In Keewano’s case: The issue can be traced back to Level 2. Moreover, it informs you that players who didn’t collect a specific sword on this level couldn’t defeat the boss. This reveals that there were gaps in the tutorial.

AI-Driven Game UX Testing Is Here

Analytics tools simply can’t catch UX issues before they have already damaged player retention…Until now.

AI-driven platforms like Keewano are solving this problem once and for all. They enable developers to act with certainty.

This way, they can optimize their game, deliver smoot