Quick answer: The biggest difficulty tuning mistakes are a too-hard early game, difficulty spikes, no options, and expert bias, fix these by easing players in and using real player data.

Difficulty tuning shapes retention, and common mistakes drive players away. Here are the most common difficulty tuning mistakes and how to avoid them.

Making the Early Game Too Hard

A common difficulty mistake is making the early game too hard, so new players, not yet invested or skilled, hit a wall and quit before they are hooked. The early game should ease players in, and excessive early difficulty drives early churn.

The fix is easing players in, with the early game accessible enough to hook them. Bugnet captures where players drop off early, so you can see if early difficulty is losing players (a spot where many quit early) and tune it, keeping new players past the fragile early experience where difficulty-driven churn hits hardest.

Creating Sudden Difficulty Spikes

A second mistake is sudden difficulty spikes, a section far harder than what came before, that frustrate players and cause rage-quits. A smooth difficulty curve keeps players engaged, while a spike feels unfair and drives them off.

The fix is smoothing the curve and finding spikes from data. Bugnet captures where players drop off, so you can see the points where many players quit (revealing a difficulty spike) and smooth them, fixing the specific spots where difficulty is driving players away rather than guessing where the curve is wrong.

Tuning by Your Own Expert Skill

A third mistake is tuning difficulty by your own skill, when you are an expert player who finds the game far easier than your audience does. What feels fair to you is often too hard for average and new players.

The fix is tuning by real player data, not your own skill. Bugnet captures where real players struggle and quit, so you can tune difficulty based on how your actual audience fares (where they hit walls) rather than your expert perspective, fixing the gap between your skill and your players'.

Avoid the big difficulty tuning mistakes: a too-hard early game, difficulty spikes, no options, and expert bias. Ease players in and use real player data to tune.