feedback forms templates<\/a>.<\/p>\nAvoid leading questions in your surveys<\/h3>\n Leading questions are types of questions that suggest a specific answer.<\/p>\n
They\u2018re the easiest form of survey bias to spot. And while they\u2019re almost effortless to identify, there may be instances when the respondents can\u2019t help but answer them anyway.<\/p>\n
The worst part? The respondents are made to believe they\u2019re answering the survey questions honestly.<\/p>\n
It\u2019s also a possibility the respondents will think you\u2019re playing mind games. They might think you\u2019re intentionally trying to elicit a specific response.<\/p>\n
And this results in negative reviews and a bad online reputation.<\/p>\nThis question is leading the respondents to tell you about having a happy experience. It\u2019s almost as if you\u2019re instructing them to tell you their experience was a happy one.<\/p>\n
A better way to present this:<\/p>\nCorrecting this kind of bias is simple.<\/p>\n
As the survey creator, simply review how you present your questions. Avoid using adjectives that can suggest you want to receive a specific response. And rephrase your questions as you see fit.<\/p>\n
Notably, ensure you give respondents the freedom to answer the question on their own. The question above, for example, enables the respondents to describe their experience using their own words.<\/p>\n
Avoid assumptive or loaded questions in your surveys<\/h3>\n These are trick questions. They automatically position the respondents to take a defensive stand because these questions put them in a negative light.<\/p>\n
You need to avoid inputting assumptive or loaded questions into your surveys because they\u2019re offensive.<\/p>\n
The damage they do is as extensive as bullying and harassing the respondents into providing you with an answer.<\/p>\n
And the sole purpose they decided to give an answer isn\u2019t because they have something valuable to say \u2014 it\u2019s because they want to move on from your survey.<\/p>\n
For the audience, identifying these questions isn\u2019t always easy. It prevents the respondents from using logic. Rather than think clearly, they’re occupied with defending themselves.<\/p>\nEncountering the question above on a survey is insulting.<\/p>\n
It implies a couple of assumptions \u2014 it assumes the respondent has a low attention span, and they had a negative experience.<\/p>\n
If the assumptions are incorrect, it\u2019s a blow on the respondent\u2019s character. And if they are correct, they\u2019re unnecessary.<\/p>\n
A better way to present it:<\/p>\nTo help you stop posing these questions, always ask neutrally.<\/p>\n
Don\u2019t ask things that state opinions or imply personal statements. Even if you feel strongly about expressing some statements, you need to keep matters professional.<\/p>\n
And as you can see from the image above, the way the question was raised is apologetic and shows empathy.<\/p>\n
The use of the word \u201cif\u201d also doesn\u2019t present any assumptions.<\/p>\n
Avoid double-barrelled questions in your surveys<\/h3>\n This type of bias refers to asking respondents for two separate opinions about two unrelated subjects. But as you ask these pairs of questions, you provide them with a means to respond to only one.<\/p>\n
Double-barrelled questions can be confusing. Chances are, the respondents will be annoyed at you.<\/p>\n
Consequently, they won\u2019t respond to your survey questions anymore.<\/p>\n
They might also disregard other surveys from you and encourage their network to do the same.<\/p>\n
Worst case scenario is these respondents will think so lowly of you. As a result, they\u2019ll leave you a negative review that can permanently affect your reputation.<\/p>\nA better way to present it:<\/p>\nInstead of asking double-barrelled questions, always split the questions that are about two topics.<\/p>\n
In fact, it’s better to ask one question at a time. Remember, even if they\u2019re closely related, most questions need to be presented separately.<\/p>\n
And like in the case above, a single question was asked. The question asking the respondent to \u201cdescribe the compensation packages offered to them in their previous employment<\/em>\u201d was omitted.<\/p>\nAvoid using jargon in your surveys<\/h3>\n Using jargon may make you think you\u2019re being inclusive in your surveys. But it\u2019s a presumptive way of communicating your questions to the respondents.<\/p>\n
When using jargon, you\u2019re presuming the one you\u2019re talking to is \u201cin the know\u201d. This leads to using particular words \u2014 words they actually <\/em>can\u2019t understand.<\/p>\nUltimately, this confuses respondents.<\/p>\n
Encountering these questions might also make them feel they\u2019re not smart enough for your surveys.<\/p>\n
In addition to ending up with fewer survey respondents, this reflects badly on you. It suggests you have poor communication skills and have no authority over your respondents.<\/p>\nThe abovementioned survey question shows bias in its use of the term \u201cenvironmentally friendly\u201d. While people working in sectors related to climate change are familiar with it, others don\u2019t know what it means.<\/p>\n
If a person unfamiliar with the term encounters it in a survey question, chances are they\u2019ll evade that. They might also give a spur-of-the-moment (false) answer or completely give up on your survey.<\/p>\n
A better way to present this:<\/p>\nSometimes, using jargon can\u2019t be avoided. And that\u2019s alright. Experienced survey creators know it. The solution they propose is to include the definition of the word.<\/p>\n
As the images above reflect, the same question was posed. In the second image, the term came with a definition.<\/p>\n
Avoid poor answer scale options<\/h3>\n If your survey questions revolve around ratings and scales, these are much easier for respondents to process.<\/p>\n
The problem? The scales can be presented poorly.<\/p>\n
Usually, this is identifiable in survey questions with just two options as answers.<\/p>\nWhile common, it\u2019s a poorly presented answer scale option. For one, it\u2019s unclear and it doesn\u2019t state what a scale rating of 1 means. It also doesn\u2019t provide valuable information to the survey creator.<\/p>\n
A better way of presenting this:<\/p>\nAs you can observe from the image above, the answer options are simpler and easier to understand.<\/p>\n
The solution to poor answer scale options? Define what a specific number on a scale means.<\/p>\n
Avoid confusing answer scale formatting<\/h3>\n If the questions use a confusing answer scale formatting, you also have a problem. They\u2019re almost designed to be intentionally vague and confusing.<\/p>\n
Consequently, this pressures the respondents into answering the survey question or giving a rating that\u2019s inaccurate, irrelevant, and rushed.<\/p>\nThis qualifies as a question that uses a confusing answer scale formatting because it confuses respondents.<\/p>\n
For one, the question is vague. It\u2019s also hard for the respondents to know which of the two questions is the one they should answer.<\/p>\n
A better way of presenting this:<\/p>\nThe good news is, as a survey creator, you can easily fix this.<\/p>\n
Simply read your question aloud. And from the perspective of someone listening, check to see if you can understand it with little effort. Better yet, have someone read it out for you.<\/p>\n
If you have trouble understanding the question, reword it to a sentence with a clearer message and one that\u2019s easier to understand.<\/p>\n
Golden rules of avoiding survey bias<\/h2>\n Avoiding question bias comes down to putting yourself in the shoes of your respondents.<\/p>\n
If you want them to respond to your questions as effectively as possible, ask the type of questions you\u2019d want to answer as effectively as possible, too.<\/p>\n
Here are do<\/em><\/strong>s and don\u2019t<\/em><\/strong>s:<\/p>\n\nDo: <\/strong>Write clearly. Avoid double negatives, confusing language, or jargon.<\/li>\n<\/ul>\nIf your survey question is clear to you, it doesn\u2019t automatically suggest it\u2019s clear to everybody else. Always simplify your questions and use basic words.<\/p>\n
\nDon\u2019t: <\/strong>Lead the person answering the question or make assumptions.<\/li>\n<\/ul>\nAllow the respondents to provide answers as they see fit \u2014 even if their answers aren\u2019t leaning towards the response you want. Besides, if they don\u2019t answer with the response you want, it suggests that these people are answering your surveys honestly.<\/p>\n
\nDo: <\/strong>Check your answer options. Make sure they are clear and relevant to the question.<\/li>\n<\/ul>\nIt can be easy to forget about an answer option\u2019s relevance when you\u2019re asking a bunch of survey questions. But avoid making this mistake because irrelevance can always trigger the respondents from discontinuing your survey.<\/p>\n
\nDon\u2019t: <\/strong>Overload the respondent. Keep questions simple and avoid double-barrelled questions.<\/li>\n<\/ul>\nA practical approach is to organize all the questions you want to ask. List them all down then assign them to specific categories.<\/p>\n
\nDo: <\/strong>Keep your target respondents in mind. Speak their language. And tailor your surveys to them.<\/li>\n<\/ul>\nFor example, your target respondents are beginners in digital marketing. Then write questions that address the concerns of these people. And avoid using references that only apply to experts.<\/p>\n
\nDon\u2019t<\/strong>: Bore the respondent with a single type of survey question. Instead, use a good mix of open-ended and closed-ended questions.<\/li>\n<\/ul>\nFor example, don\u2019t keep asking questions that are limited to \u201cyes\u201d or \u201cno\u201d answers. Be sure to throw in questions that allow them to share unique details.<\/p>\n
\nDo: <\/strong>Format surveys so they are easy to use on all devices. Surveys that may appear well on most desktop computers may not be readable on smaller screens.<\/li>\n<\/ul>\nUse tools that allow responsive formatting. And design surveys that are accessible to mobile users.<\/p>\n
Rounding it up<\/h2>\n Conducting surveys is an important aspect of market research. And while you may mean well in how you presented your survey questions, survey bias is part of the picture. That\u2019s why it\u2019s best to always review every question, as well as your entire survey.<\/p>\n
__________________________________________________________________________________________________<\/p>\n
Author Bio:<\/p>\nRebecca DiCioccio<\/a> is the Marketing Manager at Paperform. Outside of work, Rebecca can be found exploring the outdoors or with a book in hand. Rebecca\u2019s background in copywriting and keen interest in SEO and digital marketing mean she understands the importance of staying up to date with the latest trends in a dynamic and ever changing industry.<\/p>\n","protected":false},"excerpt":{"rendered":"Looking to avoid survey bias? Here are some great examples on how bias looks in survey questions and to avoid it.<\/p>\n","protected":false},"author":51,"featured_media":11442,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[547,224,225,371,657,522,351],"class_list":["post-11440","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-product-experience","tag-customer-satisfaction-survey","tag-feature-survey","tag-in-app-survey","tag-nps-survey","tag-product-survey","tag-saas-user-feedback-survey","tag-user-feedback-survey"],"acf":[],"yoast_head":"\n
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