With the dropout analysis, you can dive into your drop-out rates (users not completing the survey). The dropout analysis takes a look at all the users who have not completed the survey and gives you a snapshot of where they “dropped out” – the last question they completed successfully.
For example, airline companies send customer experience surveys to flyers as soon as they deboard the plane. Generally, not everybody takes the survey, and those who do, drop out if the survey is lengthy. Airlines can dropout data to analyze the length of the survey, and also to make the questions more engaging to attract responses.
Researchers and organizations need to gather maximum responses by keeping their respondents engaged. A well-designed survey keeps respondents from dropping out.
Respondents generally leave surveys midway because of the following:
Too lengthy
Unappealing by design
Ask the wrong questions
Lack of interest
Unclear purpose of the survey
Monotony of the survey
All these factors can be analyzed and changes can be made to the survey to boost response rates.
Here are the advantages of using dropout analysis:
Create effective surveys: Gather insights such as on which question did people drop out the most, and look for options to modify the questions to make them more effective.
Alter the flow of questions: Look at where most people drop out and analyze whether the flow or the logic of the questions is causing this dropout. Try shifting the uninteresting questions towards the end.
Control the length of the survey: Sometimes, surveys are too lengthy and this is the main reason why respondents dropout. Consider shortening the length of the survey if you find many respondents dropping out.
Learn how to use this feature with our help file on dropout analysis.
