If you’ve ever completed a customer satisfaction survey, employee engagement questionnaire, or academic research study, you’ve almost certainly answered a Likert scale question.
From “Strongly Disagree” to “Strongly Agree,” Likert scales are among the most widely used measurement tools in survey research. Developed in 1932 by psychologist Rensis Likert, they help researchers measure attitudes, opinions, perceptions, and experiences in a consistent, structured way.
Their popularity comes from a simple but powerful advantage: they transform subjective opinions into data that can be compared, analyzed, and tracked over time.
Whether you’re designing a customer feedback survey, measuring employee engagement, conducting market research, or performing academic research, understanding how to use Likert scales correctly is essential for collecting reliable insights.
In this guide, you’ll learn:
- What a Likert scale is
- How a Likert scale works
- The difference between 5-point and 7-point scales
- Practical Likert scale examples
- Common mistakes
- Best practices for creating effective Likert scale questions

What is a Likert scale?
A Likert scale is a rating scale used to measure respondents’ attitudes, opinions, or levels of agreement with a statement.
Rather than answering with a simple “yes” or “no,” respondents select one option from an ordered scale. A classic example:
| Statement | Response |
| The checkout process was easy to complete. | Strongly Disagree • Disagree • Neutral • Agree • Strongly Agree |
Each response reflects a different level of agreement, making it possible to quantify opinions that would otherwise be difficult to measure. Likert scales are widely used because they provide structured data while still capturing the intensity of respondents’ feelings.
Why are Likert scales so popular?
Many survey topics cannot be measured with simple factual questions. Take “Did you enjoy the event?” A yes/no answer tells you very little; instead, a Likert scale measures how strongly someone feels.
This makes it possible to:
- Compare respondents
- Monitor trends over time
- Benchmark results
- Calculate averages
- Identify areas for improvement
For this reason, Likert scales are a standard tool in customer experience research, employee engagement surveys, healthcare studies, academic research, and public opinion polling.
How does a Likert scale work?
A Likert scale presents respondents with a statement and a series of ordered response options. The responses represent increasing or decreasing levels of agreement, satisfaction, importance, frequency, or likelihood.
Agreement Scale: The website was easy to navigate. Strongly Disagree · Disagree · Neutral · Agree · Strongly Agree
Satisfaction Scale: How satisfied were you with today’s service? Very Dissatisfied · Dissatisfied · Neutral · Satisfied · Very Satisfied
Importance Scale: How important is price when choosing a supplier? Not Important · Slightly Important · Moderately Important · Very Important · Extremely Important
The wording changes depending on what researchers are measuring; the underlying principle stays the same.
Types of Likert scales
The five-point agreement scale is the most familiar, but several variations are common:
5-point Likert scale
The most widely used format: Strongly Disagree, Disagree, Neutral, Agree, Strongly Agree.
It’s easy to understand, quick to complete, and works well for most surveys; this is often the best choice for customer feedback and employee engagement surveys.
7-point Likert scale
Adds more response options for greater sensitivity: Strongly Disagree, Disagree, Somewhat Disagree, Neutral, Somewhat Agree, Agree, Strongly Agree.
It captures more subtle differences and increases measurement precision, useful for academic research. The trade-off: respondents may take slightly longer to answer.
Even-numbered scales
Some researchers intentionally remove the neutral option (Strongly Disagree, Disagree, Agree, Strongly Agree). This encourages respondents to express a preference rather than selecting the middle option; however, it may frustrate participants who genuinely feel neutral.
Likert scale examples
- Customer Satisfaction: The purchasing process was straightforward. (Strongly Disagree → Strongly Agree)
- Employee Engagement: I receive regular feedback that helps me improve my performance.
- Product Research: The product meets my expectations.
- Healthcare: The healthcare professional explained my treatment clearly.
- Education: The course materials supported my learning.
- Website Usability: It was easy to find the information I needed.
Advantages of Likert scales
Easy for respondents: Most people immediately understand how to answer agreement scales; this reduces respondent effort and improves completion rates.
Easy to analyze: Likert scale responses can be summarized using percentages, averages, charts, and statistical analysis.
Excellent for tracking trends: Organizations often repeat the same questions over time, making it easy to monitor changes in customer satisfaction, employee engagement, or brand perception.
Flexible: Likert scales can measure satisfaction, agreement, importance, confidence, frequency, likelihood, and perceived quality.
Limitations of Likert scales
Likert scales are not appropriate for every research objective; examples:
Limited detail: Respondents select predefined options rather than explaining their opinions; pairing Likert scale questions with open-ended follow-up questions often provides richer insights.
Central tendency bias: Some respondents consistently choose the middle option, even when they have a stronger opinion.
Acquiescence bias: Certain respondents tend to agree with statements regardless of their true opinion. Researchers can reduce this by mixing positively and negatively worded statements.
Cultural differences: Response styles vary across cultures; some populations select extreme responses more often, while others avoid them. Researchers running international studies should account for this.

Best practices for using Likert scales
Keep statements clear: Each statement should measure one idea. Examples: Poor: The website was attractive and easy to use. Better: The website was visually appealing. / The website was easy to navigate.
Use balanced response options: Include the same number of positive and negative choices; this balance scales and reduces bias.
Be consistent: Use the same response direction throughout the questionnaire; changing scales unnecessarily increases respondent effort.
Match the scale to your objective: Agreement scales measure opinions, and satisfaction scales measure experiences. It’s very important: scales measure priorities.
Consider adding an open-ended follow-up: After “Overall, how satisfied were you?” ask “What influenced your rating?” Combining quantitative and qualitative data produces more actionable insights.
Common mistakes
- Measuring multiple concepts in one statement
- Using inconsistent response scales
- Including unbalanced response options
- Asking vague questions
- Overusing neutral wording
- Forgetting to pilot test the questionnaire
5-Point vs. 7-Point Likert scale
| 5-Point Scale | 7-Point Scale |
| Easier to complete | More detailed responses |
| Faster completion | Greater measurement sensitivity |
| Ideal for most business surveys | Common in academic research |
| Lower respondent effort | Better for nuanced opinions |
Both approaches are valid, but the best choice depends on your research objectives, audience, and reporting requirements.
Best practices checklist
☐ Does each statement measure only one concept?
☐ Is the wording clear and unbiased?
☐ Are response options balanced?
☐ Is the same scale used consistently?
☐ Have you selected the appropriate number of response options?
☐ Have you pilot tested the survey?
Frequently asked questions
What is a Likert scale? A Likert scale is a structured response scale used to measure attitudes, opinions, or perceptions by asking respondents to indicate their level of agreement, satisfaction, importance, or frequency.
What is the difference between a Likert scale and a rating scale? A Likert scale measures responses to statements using ordered categories such as “Strongly Disagree” to “Strongly Agree.” A rating scale is a broader term that includes numerical scales, satisfaction scales, star ratings, and other response formats.
Should I use a 5-point or 7-point Likert scale? A 5-point scale suits most customer experience, employee engagement, and market research surveys because it’s easy for respondents to understand. A 7-point scale provides greater sensitivity and is often preferred in academic research.
Can I remove the neutral option? Yes, some researchers use an even-numbered scale to encourage respondents to express a preference. However, removing the neutral option may force respondents to choose an answer that doesn’t accurately reflect their opinion.
Can Likert scales be used with open-ended questions? Yes, many researchers pair Likert scale questions with open-ended follow-up questions to understand the reasons behind respondents’ ratings.
Conclusion
Likert scales have become one of the most trusted tools in survey research because they transform opinions into measurable data. When designed thoughtfully, they help researchers capture attitudes, monitor trends, and compare results across respondents and over time.
Whether you’re evaluating customer satisfaction, measuring employee engagement, conducting academic research, or collecting market insights, choosing the right Likert scale and applying best practices will improve data quality and the confidence you can place in your findings.