Step 1: The scenario has two clear stages: forming groups first, then randomly picking individuals from inside each group.
Step 2: This two-stage design, where the population is split into strata and a random draw is taken from every stratum, is the textbook definition of stratified random sampling.
Step 3: It is distinguished from the alternatives because simple random sampling involves no grouping at all, systematic sampling selects every fixed interval from an ordered list, and cluster sampling randomly chooses entire groups and surveys everyone within them instead of sampling from each group.
Step 4: The match with the described method confirms stratified random sampling.
\[\boxed{\text{Stratified random sampling}}\]