Products

SurveyMonkey is built to handle every use case and need. Explore our product to learn how SurveyMonkey can work for you.

Get data-driven insights from a global leader in online surveys.

Explore core features and advanced tools in one powerful platform.

Build and customise online forms to collect info and payments.

Integrate with 100+ apps and plug-ins to get more done.

Purpose-built solutions for all of your market research needs.

Create better surveys and spot insights quickly with built-in AI.

Templates

Measure customer satisfaction and loyalty for your business.

Learn what makes customers happy and turn them into advocates.

Get actionable insights to improve the user experience.

Collect contact information from prospects, invitees, and more.

Easily collect and track RSVPs for your next event.

Find out what attendees want so that you can improve your next event.

Uncover insights to boost engagement and drive better results.

Get feedback from your attendees so you can run better meetings.

Use peer feedback to help improve employee performance.

Create better courses and improve teaching methods.

Learn how students rate the course material and its presentation.

Find out what your customers think about your new product ideas.

Resources

Best practices for using surveys and survey data

Our blog about surveys, tips for business, and more.

Tutorials and how to guides for using SurveyMonkey.

How top brands drive growth with SurveyMonkey.

Contact SalesLog in
Contact SalesLog in
Survey Science

Agree to disagree

Agree to disagree

People seem fond of agree/disagree scales. How many times have you taken a survey that was full of agree/disagree responses?

I suspect this fondness is in part due to the fact that it doesn’t take much effort to come up with the response options. Or maybe it’s because survey creators assume the words have universal meaning.

In any case, I see agree/disagree used most often in grid or matrix style questions. One of the most common ways to fit several questions into a grid is to convert the individual inquiries into statements, and apply agree/disagree response options. For example, a question such as “How helpful was this blog posting?” would need to be converted into a statement to agree with “This blog post was helpful.”

And by converting the question into a matrix with agree/disagree, the surveyor might then list out all their previous blog post topics and ask you to agree/disagree on the helpfulness of each post. This approach is dangerous because it induces acquiescence response bias—the trend that people offer more agree answers than disagree answers solely by virtue of the question format. That is, the response options push people toward “yes” answers because we all have a tendency to be polite, respectful, and agreeable—especially toward people in positions of authority and power, like researchers, employers, and teachers (all people who tend to create a lot of surveys).

Instead it’s best to give questions their own space and focus on the construct of interest, such as understanding how helpful a blog post is, how satisfied an employee is with the benefits plan, how challenging a student finds a particular course, how clean a customer finds a restaurant to be, and so on.

What do you think? Do you agree to disagree? What challenges have you had in pinpointing the key construct in your questions? Share your stories with us, and we’ll share our tips with you.