Writing

How to Write a Survey

Spencer LanoueSpencer Lanoue
Writing

Writing a survey might seem straightforward, but crafting questions that yield useful insights is an art and science in itself. Whether you're gathering feedback for a project, assessing employee satisfaction, or conducting market research, creating a well-thought-out survey can make all the difference. Let's dive into the nuts and bolts of writing a survey that gets you the answers you need.

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Define Your Survey's Objective

The first step in writing a survey is to clearly define what you're trying to achieve. Without a defined objective, your questions can become scattered, and the responses less valuable. Think about why you're conducting the survey and what information you hope to gather. This will guide every subsequent choice you make.

For example, if you're a company wanting to improve employee satisfaction, your objective might be to identify areas where employees feel the company can improve. On the other hand, if you're a student conducting a study for a class project, your objective might revolve around gathering specific data on consumer preferences.

Having a clear objective helps you avoid the pitfall of including "nice-to-have" questions that don't contribute to your main goal. Keep it focused and relevant.

Choose the Right Type of Questions

Once you have your objective, it's time to think about the types of questions that will best elicit the information you're after. Surveys often include a mix of question types, each serving a different purpose:

  • Open-ended questions: These allow respondents to answer in their own words, providing richer data. However, they're harder to analyze. For instance, "What are your thoughts on the new office layout?" encourages detailed feedback.
  • Closed-ended questions: These include multiple-choice questions, yes/no questions, and rating scales. They're easier to analyze but can limit responses. An example might be, "How satisfied are you with the new office layout? Very satisfied, Satisfied, Neutral, Dissatisfied, Very dissatisfied."
  • Likert scale questions: Useful for measuring attitudes or opinions, these questions ask respondents to indicate their level of agreement on a scale. For example, "On a scale from 1 to 5, how much do you agree with the following statement: 'I feel productive in the new office layout.'"

Choosing the right mix of question types will balance the depth and ease of analysis, giving you a robust dataset to work with.

Craft Clear and Concise Questions

Once you've decided on the types of questions, the next step is crafting them in a way that's clear and easy for respondents to understand. Avoid jargon, double-barreled questions, and loaded language. Aim for simplicity and clarity.

For instance, instead of asking, "How do you feel about the new office policy changes and their impact on workflow efficiency?" separate these into two distinct questions: "What is your opinion on the new office policy changes?" and "How have these changes affected your workflow efficiency?"

Also, avoid leading questions that might bias responses. For example, "Don't you think the new office layout is great?" This can be rephrased to a more neutral, "What are your thoughts on the new office layout?"

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Decide on the Survey Format

Next, consider how you'll deliver the survey. The format can significantly affect response rates and the quality of your data. Here are some common formats:

  • Online surveys: These are popular due to their convenience and reach. Tools like Google Forms or SurveyMonkey make it easy to create and distribute surveys online.
  • Paper surveys: While less common, these can be effective in certain environments, such as classrooms or events, where participants can fill them out on the spot.
  • Phone surveys: These allow for more personal interaction and can yield higher response rates, but they're more time-consuming and costly.

The format you choose should align with your target audience and how likely they are to respond in each format.

Keep It Short and Sweet

Surveys that drag on too long tend to suffer from lower completion rates. Aim to keep your survey as brief as possible while still collecting all the necessary data. This might mean prioritizing essential questions and cutting the rest.

Think about it. If you've ever started a survey that seemed endless, you've probably abandoned it halfway through. Your survey takers will likely do the same if it feels like a chore. Aim for a survey that takes 5-10 minutes to complete.

Test Your Survey

Before launching your survey to your full audience, it's wise to test it with a small group. Feedback from this test run can highlight confusing questions, technical glitches, or other issues you might not have considered.

Encourage your testers to provide honest feedback on both the content and the format. Questions to ask them might include:

  • Were any questions unclear or confusing?
  • Did the survey feel too long or tedious?
  • Was the format easy to navigate?

Based on this feedback, make necessary adjustments before rolling out the final version.

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Consider Your Audience

Understanding your audience is crucial when writing a survey. Consider their background, interests, and how they might interpret your questions. Tailor your language and tone to match their preferences.

For example, if your audience is primarily young adults, your language might be more casual. But if you're surveying professionals, a more formal tone might be appropriate. This consideration can improve response rates and the quality of data collected.

Analyze and Interpret Your Data

Once your survey is complete, it's time to analyze the data. Look for trends, patterns, and insights that answer your original objective. This might involve quantitative analysis for closed-ended questions and qualitative analysis for open-ended responses.

Tools like Excel or Google Sheets can help you organize and interpret your data. For more complex analysis, statistical software like SPSS might be necessary. As you analyze, keep your objective in mind to ensure your findings are relevant and actionable.

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Using Spell to Enhance Your Survey Process

Creating surveys can be time-consuming. Tools like Spell can streamline the process. With Spell, you can generate first drafts of your survey questions using AI, saving you time and effort. Simply describe the type of questions you need, and Spell can generate them for you.

Additionally, Spell can assist in refining your questions, ensuring they are clear, concise, and free from bias. This can help improve the quality of your survey and the data you collect. Plus, if you're working with a team, Spell allows for real-time collaboration, making it easier to gather input and make changes on the fly.

Final Thoughts

Writing a survey that yields valuable insights involves careful planning, clear objectives, and thoughtful question crafting. By keeping your survey concise, testing it thoroughly, and considering your audience, you can gather data that truly informs your decisions. And with the help of Spell, you can streamline the process, crafting high-quality surveys in a fraction of the time. Happy surveying!

Spencer Lanoue

Spencer Lanoue

Spencer has been working in product and growth for the last 10 years. He's currently Head of Growth at Sugardoh. Before that he worked at Bump Boxes, Buffer, UserTesting, and a few other early-stage startups.