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In simple sampling random technique an individual is selected entirely by chance and every individual  of the population has an equal chance of being chosen. One way of acquiring a random sample is to allotting  a population number to the individual and then making use of a table of random numbers to determine which individuals should you include.

According to me the most convenient sampling technique among simple random and systematic techniques is systematic sampling technique.  Here individuals are chosen at regular intervals and the intervals are selected to make sure an adequate sample size.

Systematic sampling is more convenient than simple random sampling technique and it is easy to perform.  But this type of technique might lead to bias. Consider this example, in the sampling frame, if there is an underlying pattern  in the order of the individuals, then the sampling approach coincides with the periodicity of the underlying pattern.   Consider another hypothetical example: Imagine that a set of students were being sampled to acquire their opinions on college   infrastructures/facilities,.But the college department has organised the list of all students as per the gender of the   students and the names alternated between male and female. In such a scenario selecting an even interval would lead in a sample of all males or all females.