Marketing researchers are all facing two important challenges to data quality. First is the question of representativeness: with response rates plummeting, we need to make surveys shorter, more engaging, and easier for respondents to complete. Second is the issue of data accuracy: we must make sure that survey questions measure what we think they measure. Continue reading “Quality Starts with Survey Design: Tips for Better Surveys”
“Smart Survey Design” is a loose term (bordering on a catch-all) that you’ve probably heard pitched to you. Maybe you have used it yourself when piecing together a study.
It’s not a hollow term, by any means. Smart design has advantages for both designers and respondents. Designing “smart” simply means maintaining data integrity, both in terms of capturing statistically relevant data as well as reducing the amount of bad data caused by poor survey takers (straight liners, short responders for OE’s, speeders, cheaters, etc.). Continue reading “Smart Survey Design: 3 Forgotten Pain Points to Avoid”