The ConvApparel framework quantifies the realism gap between LLM-based user simulators and actual human behavior. Researchers tested these simulators against real-world conversational data to identify specific failure points in persona consistency. This benchmark helps developers refine agentic training data. It ensures synthetic users behave more like real customers during model testing.