What is an example of a Likert scale question?

"The new dashboard makes it easier to find the data I need" with five options: Strongly Disagree, Disagree, Neither Agree nor Disagree, Agree, Strongly Agree. Likert scales also work for satisfaction (Not at all satisfied to Extremely satisfied), frequency (Never to Always), and importance (Not at all important to Extremely important).

What is the difference between a unipolar and bipolar Likert scale?

A bipolar scale measures direction along an axis with two opposite ends, like Strongly Disagree to Strongly Agree. A unipolar scale measures intensity from zero to maximum on a single dimension, like Not at all satisfied to Extremely satisfied. Pick bipolar when you genuinely want to capture disagreement; pick unipolar when the absence of the attribute is more informative than its opposite.

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Likert Scale Surveys: Examples, Types, and How to Build One Free

The Likert scale is the workhorse of attitude research. Use it to capture how strongly someone agrees, how satisfied they are, or how often they do something. This guide covers what it is, the 20+ ways to use it, the right number of points, and how to analyze the results. Then build one free with Youform in minutes.

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What is a Likert scale?

A Likert scale is a survey response format that asks respondents to rate a statement or question on an ordered range of options. The classic version uses five points labeled Strongly Disagree, Disagree, Neither Agree nor Disagree, Agree, Strongly Agree. Each option is associated with a numeric value (1 to 5) so the responses can be aggregated and compared.

The format was developed by American psychologist Rensis Likert in 1932 as a way to measure attitudes on a continuous range instead of a binary yes or no. It has since become the most widely used response scale in survey research, market research, employee engagement, and customer satisfaction work.

The point of a Likert scale is to capture intensity. A yes-or-no question flattens "kind of agree" and "completely agree" into the same answer. A Likert scale separates them, which is the difference between knowing customers are happy and knowing how happy they are.

Canonical example

"The new dashboard makes it easier to find the data I need."

1, Strongly Disagree 2, Disagree 3, Neither 4, Agree 5, Strongly Agree

Two notes on the name: it is pronounced "LICK-urt" (rhymes with picket), and a single question on the scale is called a Likert item; a set of related items measuring the same construct is called a Likert scale.

Types of Likert scales

Likert scales vary along three dimensions: how many points, what the labels are, and whether they include a neutral middle. Picking the right combination depends on what you are measuring.

By number of points

5-point scale: the most common. Fast to answer, easy to label clearly, well-suited to general audiences.
7-point scale: slightly better resolution and reliability. Use when respondents are likely to have strong, distinct opinions.
4 or 6-point (even): no neutral midpoint, forces respondents off the fence. Use when you need a decision (preference research, pass/fail evaluations).
10 or 11-point: common for NPS and 0-to-10 satisfaction ratings, but verbal anchors stop being useful past 7 options.

By construct (what you are measuring)

The verbal anchors should match the construct, not just default to agree/disagree. Five common variants:

Construct	Anchors (low to high)
Agreement	Strongly Disagree, Disagree, Neither, Agree, Strongly Agree
Satisfaction	Not at all satisfied, Slightly, Moderately, Very, Extremely satisfied
Frequency	Never, Rarely, Sometimes, Often, Always
Importance	Not at all important, Slightly, Moderately, Very, Extremely important
Likelihood	Not at all likely, Slightly, Moderately, Very, Extremely likely

Unipolar vs bipolar

A bipolar scale measures direction along an axis with two opposite ends (Strongly Disagree to Strongly Agree). A unipolar scale measures intensity from zero to maximum on a single dimension (Not at all satisfied to Extremely satisfied).

Use bipolar when both opposing endpoints are meaningful positions. Use unipolar when the absence of the attribute is more informative than its opposite. "Not at all satisfied" is a clearer position than "completely dissatisfied" for most customer feedback work, which is why satisfaction scales are usually unipolar.

20+ Likert scale examples

Examples across customer feedback, employee engagement, product research, healthcare, education, and market research. Each shows the question, the scale type, and the typical anchors.

Customer satisfaction

"Our support team resolved my issue quickly."

5-point agreement

"How satisfied are you with the speed of our delivery?"

5-point satisfaction (unipolar)

"The product matched what was shown on the website."

5-point agreement

"How likely are you to purchase from us again?"

5-point likelihood (unipolar)

"How often do you use the reporting features in our dashboard?"

5-point frequency

Employee engagement

"I have a clear understanding of my role and what is expected of me."

5-point agreement

"My manager gives me useful feedback on my work."

5-point agreement

"How often do you feel recognized for the work you do?"

5-point frequency

"I would recommend this company as a great place to work."

7-point agreement

"How important is professional growth in your decision to stay at this company?"

5-point importance

Want to use these in a real survey?

Youform has a native Likert question type with every variant on this page. Free, unlimited responses, no credit card.

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Product and UX research

"The new onboarding flow made it clear what to do next."

5-point agreement

"How easy was it to complete checkout today?"

5-point ease (unipolar)

"The information displayed in this report is useful to me."

5-point agreement

"How frustrated were you while trying to upload a file?"

5-point intensity (unipolar)

Healthcare and patient feedback

"The clinician listened carefully to my concerns."

5-point agreement

"How often have you felt down or hopeless in the last two weeks?"

4-point frequency (clinical PHQ-style)

"I felt comfortable asking the doctor follow-up questions."

5-point agreement

Education and course feedback

"The course materials were well organized."

5-point agreement

"How much did this course improve your understanding of the topic?"

5-point intensity (unipolar)

"The instructor explained concepts clearly."

5-point agreement

Market and brand research

"When I think of [category], this brand is the first one that comes to mind."

5-point agreement

"How likely are you to recommend us to a colleague?"

11-point likelihood (NPS)

"How important is the price when choosing this kind of product?"

5-point importance

When to use a Likert scale (and when not to)

Likert scales shine when the underlying attribute exists on a continuum and the gradient matters. They flatten the data when you force them onto attributes that are genuinely binary or that need open-ended detail.

Use a Likert when

You are measuring agreement, satisfaction, frequency, or importance.
You need to compare averages across segments or over time.
The construct has a natural gradient (a little to a lot).
You want benchmarkable, trendable data, not free text.

Skip Likert when

The reality is binary (employed yes/no, completed yes/no).
You need rich qualitative reasoning, not a number.
You are screening or branching the survey (use yes/no).
The respondent has no real opinion (forced answers add noise).

How to analyze Likert scale data

Likert data is technically ordinal: the options are ordered, but the gap between "Agree" and "Strongly Agree" is not guaranteed to equal the gap between "Disagree" and "Neither." That matters for what statistics you can fairly use.

1. Frequency distribution

Always start here. Plot the percentage of respondents who picked each option. A bar chart of all five options reveals whether opinion is concentrated, polarized, or flat. The shape of the distribution is often more informative than any single summary number.

2. Top 2 Box (T2B) and Bottom 2 Box (B2B)

Collapse the top two positive options ("Agree" + "Strongly Agree") into a single percentage. This is the cleanest business metric: it gives you one number that maps to "% who feel positively" and is easy to trend and benchmark. Do the same with the bottom two for negative sentiment.

3. Median and mode

Since the data is ordinal, the technically correct measures of central tendency are the median (middle value) and the mode (most common value). The interquartile range describes spread.

4. Mean (with care)

Most teams use the mean ("4.2 out of 5") because it is easier to communicate. This treats Likert as interval data, which is technically a stretch but is widely accepted in practice. If you report a mean, also report the distribution so reviewers can see how concentrated or polarized the responses are.

5. Cross-tabulation

The most useful insight from Likert data is usually not the overall number. It is the gap between segments: new vs returning customers, paid vs free, region A vs region B. Break out T2B by segment and look for differences of 8 percentage points or more; that is usually where the actionable story lives.

Common Likert scale pitfalls

Six failure modes that quietly destroy Likert data. Read through these before sending your next survey.

1. Double-barreled items

"The product is fast and reliable" hides two ratings in one. Split into two separate items. See our guide to double-barreled questions for the full pattern.

2. Acquiescence bias

People tend to agree more than disagree when the statement is phrased one-sided. Mix in reverse-coded items occasionally to spot pattern-fillers.

3. Central tendency bias

Some respondents default to the middle option to avoid commitment. If this is a serious risk for your audience, use an even-point scale to force a side.

4. Polarity inconsistency

Mixing "Strongly Disagree on the left, Strongly Agree on the right" with the reverse on the next question confuses respondents and contaminates the data. Pick a direction and keep it.

5. Mismatched anchors

"How important is X?" with agreement anchors (Strongly Disagree to Strongly Agree) reads awkward and produces noisy data. Match the anchors to the construct: importance, satisfaction, frequency, agreement.

6. Too many points

9 or 11 verbal options become hard to distinguish (what is the real difference between "Slightly agree" and "Somewhat agree"?). Stick with 5 or 7 unless you have a specific reason.

Build Likert scale surveys free with Youform

Youform has a native Likert question type that supports every variant in this guide. Pick the number of points, choose agreement, satisfaction, frequency, importance, or likelihood anchors, then label each option however you like. The form auto-handles the analytics: Top 2 Box, frequency distributions, and cross-tabulation are built in.

Why Youform for Likert surveys

Every Likert variant supported. 4, 5, 6, 7, 10, or 11 points. Agreement, satisfaction, frequency, importance, likelihood. Bipolar or unipolar. Custom anchors on every option.
Matrix questions for batches. Ask 10 Likert items at once with shared anchors in a single matrix grid. Faster to fill, easier to analyze.
Free forever, unlimited responses. No question caps, no response caps, no credit card. SurveyMonkey limits free plans to 10 questions; Typeform limits responses. Youform does not.
Built-in analytics. Frequency distributions, Top 2 Box, mean and median, cross-tabs by segment. Export as CSV for deeper analysis in your tool of choice.
300+ survey templates. CSAT, employee engagement, course feedback, NPS. Every template is already structured with the right Likert variant for the use case.
Conditional logic. Branch on the Likert response to follow up with detractors, ask "why?" of anyone who picked the bottom box, or skip questions based on satisfaction level.

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See a Likert survey in action

Preview a live Youform survey using Likert questions. Notice how each item lands one at a time, with clean anchors and visible progress.

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Frequently asked questions

What is a Likert scale?

A Likert scale is a survey response format that asks respondents to rate a statement or question on an ordered range of options, typically from 1 to 5 or 1 to 7. The classic version uses five points from Strongly Disagree to Strongly Agree. It captures the strength of an opinion rather than forcing a yes or no answer.

Should a Likert scale have 5 or 7 points?

Both work. 5-point scales are faster to answer and easier to label, which is why they are the most common choice. 7-point scales give finer resolution and slightly better reliability when respondents have strong opinions on the topic. Avoid going beyond 7 points for verbal labels; the differences between adjacent options become hard to distinguish.

Should I include a neutral middle option?

Include a neutral midpoint when true neutrality is a real position a respondent might hold. Use an even-point scale (4 or 6 options) when you want to force respondents off the fence, for example in product preference research where you need a decision. Forcing the choice raises data quality only when the underlying opinion exists; otherwise it produces noise.

How do you analyze Likert scale data?

Likert data is ordinal, so the cleanest summaries are median, mode, and the frequency distribution across each option. The most actionable business metric is the Top 2 Box score, the percentage of respondents who picked the top two positive options. Means and standard deviations are common in practice but technically assume the gaps between points are equal, which is a contested assumption.

What is the difference between a Likert scale and a rating scale?

A Likert scale is technically a specific type of rating scale that measures agreement, satisfaction, or attitudinal intensity using verbal anchors. A general rating scale can be numeric only (1 to 10) without verbal labels, like NPS or a 1-to-5 star review. In practice the terms are used interchangeably, but Likert specifically implies verbal anchors at every point or at least at the ends.

Can I build a Likert survey for free with Youform?

Yes. Youform's free plan includes the full Likert question type with every variant (5-point, 7-point, agreement, satisfaction, frequency, importance, likelihood), unlimited responses, and built-in analytics. No credit card required. Create a free account and you can have a Likert survey live in under three minutes.

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