A survey questionnaire is a data-gathering tool intended to collect data, views, opinions, and information from individuals or groups.
It consists of a set of questions used in surveys to gather necessary information that benefits people and the community.
Requires respondents to type their answers into a comment box without preset answer options.
Example: "What changes would this company have to make for improvement?"
Provides a question prompt with a list of possible responses for respondents to choose from.
Allows for narrow or single-word responses.
The most popular survey question type, allowing respondents to select one option from a defined list of answers.
Example: "What is your favorite pizza topping?"
a. pepperoni
b. cheese
c. beef
d. pineapple
Important to clarify if respondents should pick one or several options. Using the phrase "of the following" can help make questions clearer.
Displays a range of answer options (e.g., 0-100, 1-10).
Example: "How likely is it that you would recommend this company to a friend or colleague?" with a scale from Poor to Excellent.
Gauges opinions or feelings, often asking respondents to agree or disagree with statements.
Example: Evaluating brand experience with statements and responses ranging from "Strongly Disagree" to "Strongly Agree."
A series of Likert scale or rating scale questions presented in a grid format.
Example: Satisfaction ratings for multiple aspects of a service like in-flight experience.
When writing matrix questions, ensure topics are clearly differentiated, keep text brief, and help clarify with introductory text.
Gathers information about a respondent's background, including income level.
Example: Gender, date of birth, ethnicity, race, and country of birth options in a survey.
Asks respondents to order answer choices by preference.
Example: Rank your favorite social media platforms from 1 to 5.
Important to explain how respondents should indicate their choices and clarify ranking scales.
Establishes a cause-and-effect relationship, often used in quasi-experimental research.
Example: In educational settings, a teacher administers a pre-test, applies a teaching method, and follows up with a post-test to assess knowledge changes.
Steps include random assignment, pre-testing, treatment application, post-testing, and analysis of results.
Keep questions simple.
Insert screening questions when needed.
Use appropriate design for your survey.
Don't underestimate the importance of clear goals.
Avoid overlooking possible answers.
Ensure clarity to prevent misunderstandings with the questions.
Include a short introduction about the purpose and data privacy (Data Privacy Act).
Structure questions starting with demographics and followed by survey types.