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Professional online surveys and questionnaires
Professional online surveys and questionnaires

Step 2: Writing effective questions.

The questions you write will ultimately determine the usefulness of the answers you collect, so pay careful attention not only to what you ask, but how you ask it. Poorly worded questions can result in useless, biased answers and can even cause participants to lose interest and leave your survey incomplete. Points to keep in mind when writing your questions include:

  • Keep your questions short and to the point. By using simple language and avoiding jargon and acronyms, you make your questions easy to read and increase the probability that your respondents will complete your survey.

  • Avoid writing questions that make assumptions. For example, you shouldn't ask "Is your dog male or female?" without leaving room for the possibility that respondents may not own a dog.

  • Avoid asking leading questions such as: "Through phone conversations with my customers, I've learned that most people prefer to receive their newsletter in text format as opposed to HTML. How do you prefer to receive your newsletter?" The stated preference will bias the results.

  • Avoid questions that ask respondents to reveal sensitive or embarrassing information (or if you must ask the question, place it towards the end of your survey, after a few non-threatening but related questions).

  • Limit the number of open-ended questions you ask (that is, questions that require a written response) as these are less likely to be answered. Well-written multiple choice and scaled questions (questions that ask the respondent to rate something) are generally preferred because they're faster to answer.

Most important, be careful that you don't succumb to the temptation to ask every question you can think of, regardless of whether or not it contributes to your objectives. Do you really need to know the middle name of their grandmother's first cousin? Probably not. The fewer questions you ask, the more responses you'll receive. And more responses equals more accurate, more useful data!

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