Time series segmentation is crucial across domains. Current evaluation measures (e.g., ARI), however, fail to capture segment quality and error nature. We introduce WARI (Weighted ARI), accounting for error positions, and SMS (State Matching Score), scoring four customizable error types. Empirically validated, they offer accurate assessment and novel insights.