Staff Survey

Does it matter if not everyone takes your survey? What if only half your survey sample actually completes the survey questionnaire - or a third? You're never going to get everyone you invite to complete your survey. Those people conducting employee surveys, such as employee opinion surveys or workplace surveys will see the highest response rates on their survey projects. Some HR surveys see response rates as high as 90%. But if you're conducting a consumer survey, help desk satisfaction survey or customer feedback survey 90% response rates may be out of your reach.

The question remains, if I'm never going to get everyone, do those who didn't voluntarily complete your survey matter? Absolutely. Like with most things related to market research, there has been a lot of research to uncover the truth: are survey respondents different from non-respondents? It seems that research points to yes. Even early responders and late responders different, and this is probably due to interest in the survey.

There are a few things you can do to boost your response rates and limit your nonresponse bias.

1. Send email invitation reminders and partial response reminders to those on your email list. Two things happen when you do this, the first, you catch people who never even read your first email. The second benefit is you remind people who were willing to complete your survey but forgot about it.

2. Make sure there aren't any errors in your survey design. Double check your survey question logic, your question and answer choices, your graphical survey template, even your introduction on the survey welcome page.

3. Keep it short. This is a general survey best practice tip you should always follow. While there's not much you can do after you have already sent out email survey invitations and begun the data collection process, you should remember to keep your surveys short and limit the number of survey questions during the survey design phase.

It's important to keep non-response bias in mind when you're analyzing survey data and drawing conclusions from your market research results. Are your respondents different from your non-respondents? Perhaps only heavy users completed the survey, or only people with full time jobs, or only single individuals. Do those who opted not to complete your survey have a different opinion? These are the types of questions you need to ask yourself when evaluating your survey data. In some cases, it may not matter, in others it could cause you to make a decision based on skewed results.