Adapt the difficulty level to how people play
Games adapt the difficulty level to how people play
Fits: IT & software development · Research & development · Creative & media production
Players who get stuck get some breathing space, players who race through get more of a challenge. Fewer players give up in frustration, and you see where your game becomes unfair.
Is this for you?
- Your game already records gameplay data such as attempts, character deaths, time per section and drop-offs.
- There are points where many players give up, and you do not want to make them easier for everyone.
- You want to disclose the adaptation and make it possible to switch off, rather than steering players in secret.
Export the number of players, attempts and drop-offs per section from your gameplay data, without player IDs, and use the template below to find the steepest jumps and get suggestions for adaptation rules. Check in your own playtest whether the suspected cause is right.
How to go about it
- Decide what the adaptation should achieve
- Combine gameplay data per section
- Build adjustable parameters and limits into the game
- Compare against fixed difficulty levels with a test group
- Roll it out to all players
- Check enjoyment and range
Templates to copy
The complete guide
- 6 steps explaining exactly what to do
- 3 proven templates to copy into your own AI
- Safe use: data, checking, deciding, informing
- Pitfalls, effort and how to recognise success
With the training you get all 430 guides for as long as your access runs.
Same approach, other use cases
13 more use cases follow the pattern “Recommending & personalising”.
GA-06 · Legal status 08.10.2026