Judgmental Sampling
Judgmental sampling, also known as purposive sampling, is a non-probability sampling technique where researchers use their expertise and judgment to select specific units from a population for study. It involves deliberately choosing participants or cases based on their relevance to the research question, characteristics, or knowledge, rather than random selection. This method is commonly used in qualitative research, exploratory studies, or when dealing with hard-to-reach populations where random sampling is impractical.
Developers should learn about judgmental sampling when conducting user research, A/B testing, or data analysis in contexts where targeted insights are needed from specific user groups, such as power users, early adopters, or niche demographics. It is particularly useful in agile development environments for rapid prototyping and iterative feedback, as it allows for focused data collection from key stakeholders without the time and cost of large-scale random sampling. However, it should be used cautiously due to potential biases and lack of generalizability to broader populations.