The Incomplete Stratified Sampling (ISS) design is a more efficient way of selecting samples for surveys compared to the traditional Stratified Simple Random Sampling (SSRS) design. By using all available information from the sampling frame and previous surveys, ISS design allows for fixed sample sizes in each estimation domain, leading to more precise sample estimates and reducing the overall sample size needed. This means that ISS design can provide accurate results with less effort and resources compared to SSRS design.