Breakdown of a Survey Project
Understanding the Components of a Project
Stages of a Survey Project
Understanding the Survey Audience
The Impact of Poor Design
Survey Project Best Practices
Survey Design Best Practices
1. Set Your Project Objectives
To write a problem statement, start with your goals
Brainstorming to write problem statements
2. Make Every Question Count
3. Plan the Order of Your Questions
Demographic Questions Placement
4. Limit Survey Length
5. Know Good from Bad Question Wording
6. Keep it Simple for Respondents
Summary of Survey Design Best Practices
Consider the stakeholders that will be engaging with the report
Plan and design your surveys before building them in the platform
Apply the following best practices
Challenge

6. Keep it Simple for Respondents

Survey respondents are busy and do not have a lot of time to spare. As the survey builder, you should respect their time and create surveys that are not only quick but also easy for them to complete.

Here are recommendations to create a survey that balances simplicity and data quality.

Limit Open-Ended Questions.

A survey should consist mostly of questions with answer choices, such as multiple-choice, scale, and grid questions. These questions create the structure for your analysis and are intuitive for respondents to understand and answer, producing better data quality.

Open text entry questions ask customers to provide feedback in their own words. From a survey perspective, this requires a high level of effort for a respondent and can result in drop-outs and incomplete responses. 

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[Tip] Tip

It is recommended to limit the number of text entry questions to one and two (unless absolutely critical to the survey outcome, or if the survey is part of a Qualitative study).

Use Grids with Caution:

Grids are appealing to a survey creator— they are easy to set up, have a logical structure, and are believed to be faster to answer for the respondent. However, many survey builders overlook that these questions require more effort for the respondent to understand and answer, and are more complex for analysis purposes.

As grid questions become more complete, respondents’ cognitive burden increases. They react by taking shortcuts in answering (e.g. straight-line answers), resulting in lower data quality (e.g. smaller differentiation of answers) for your business decisions to be made from. 

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Designing Scale Points:

Response scales capture the direction and intensity of attitudes, providing rich data. There are two main considerations:

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