🎯Core Definition
Novelty Effects, Primacy / Change Aversion & Long-term Carryover Effects formalize the behavioral and temporal dynamics separating transient experimental noise from sustainable steady-state business equilibria; Phenomena: 1) Novelty Effect: users interact heavily with novel UI affordances out of curiosity, generating an artificial 3-5 day performance spike that inevitably decays back to baseline; 2) Primacy / Change Aversion: experienced users resist structural interface shifts, creating transient negative performance dips that reverse into genuine long-term gains once habits adjust; 3) Carryover Effects: promotional interventions shift temporal demand, causing post-experiment revenue dips due to user stockpiling; Long-term Solutions: Long-term Holdout Groups (preserving a 1% control group over months) and Cohort Learning Curve tracking.
💡Use Cases
Major redesign A/B testing, evaluating promotional long-term ROIs, and resolving short-term vs long-term metric divergences.