Knowledge from practice. Free to use.
Articles on methodology, data protection, practice and product updates — written from 22 years of working with online surveys.
Representative sample: what it is and how to check yours
More responses don't make a survey representative. Here's what really matters, how to check your sample and how to report its limits honestly.
Analyzing online surveys: it starts before you collect data
The most common analysis question is: "The data's here — now what?" The honest answer: by then it's already late. The most important decisions about your analysis aren't made after data collection, but before it — when you think through which practical question your survey is actually meant to answer. Seven steps from research goal to a result you can rely on, with a worked example you can follow.
The chi-square test: testing associations between categorical variables
When you want to know whether two categorical variables are associated — gender and brand preference, education level and voting behavior, location and customer satisfaction — the chi-square test is the right tool. Here's the methodology with a concrete example.
Order effects in surveys: what they distort and how to avoid them
Two questionnaires with identical content can lead to different results — purely because of the order of the questions. Order effects are well documented in survey research and affect both dropout rates and the validity of the answers. Which effects exist, and how to counter them.