Levelssuggests
Levelssuggests is a digital framework used primarily in game design and user experience research to analyze and recommend optimal progression pathways for players. The concept emerged in the early 2010s as developers sought systematic methods to balance difficulty, engagement, and retention across a game’s narrative or skill set. Levelssuggests employs data mining techniques on gameplay metrics—such as completion times, success rates, and player choice patterns—to identify which levels or challenges most effectively lead players toward desired outcomes.
In practice, a Levelssuggests system ingests logs from temporary A/B tests, parses player behavior, and generates
The tool is used in both indie and AAA development pipelines. Its accessibility allows small studios to
Arguments that Levelssuggests can reduce creative autonomy have been tempered by emerging research that highlights its