Overview
Reward frequency fails when the player habituates. The player receives a reward every 5 minutes for the first hour — they are engaged, excited, motivated. By hour 5, the same reward every 5 minutes produces no emotional response. The player accepts the reward automatically, doesn't read what it is, and feels nothing. The reward schedule has produced habituation — the player's brain has adapted to the stimulus and no longer registers it as rewarding.
The Reward Frequency Tuning prompt builds reinforcement schedules with three properties: (1) variable ratio scheduling — rewards are delivered on a variable schedule (average interval is defined, but the actual interval varies), which produces the most habituation-resistant engagement pattern (the player never knows exactly when the next reward is coming, so they cannot adapt to a fixed rhythm), (2) reward magnitude variation — not all rewards are equal; the schedule includes common (low value), uncommon (moderate value), rare (high value), and ultra-rare (exceptional value) rewards, producing occasional spikes of excitement that reset the habituation curve, and (3) dry spell tolerance — the schedule defines the maximum gap between rewards before the player disengages, and ensures that gap is never exceeded (even if it means delivering a minimum-value reward to reset the timer).
What you get: - Reward schedule specification with variable ratio parameters - Reward rarity tier definitions with probability tables - Habituation detection metrics with reset mechanisms - Dry spell tolerance thresholds with minimum reward guarantees - Reward magnitude calibration (perceived value vs. gameplay value) - Session-length-dependent scheduling (short sessions vs. long sessions)
Built for: systems designers, live ops teams, and engagement designers who need players who stay motivated — not players who go through the motions.