Likert scale examples, labels, and analysisAsk a clearer question. Read the whole answer.

Start with a five-point agreement scale: Strongly disagree, Disagree, Neither agree nor disagree, Agree, Strongly agree. Adapt 23 examples, then use the worked report to understand the responses.

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Copy a 5-point or 7-point Likert scale

A Likert item asks how much someone agrees or disagrees with a statement. A Likert scale combines related items to measure a broader attitude. Here is a complete item you can adapt: “I knew what to do after signing up.”

5-point agreement scale

  1. Strongly disagree
  2. Disagree
  3. Neither agree nor disagree
  4. Agree
  5. Strongly agree

7-point agreement scale

  1. Strongly disagree
  2. Disagree
  3. Somewhat disagree
  4. Neither agree nor disagree
  5. Somewhat agree
  6. Agree
  7. Strongly agree

Five points offers fewer distinctions; seven adds “somewhat” on each side. Choose labels your audience can distinguish, then keep the wording and order consistent when comparing results. Seven points does not automatically produce better data.

Neutral is an opinion; “Not applicable” is a different answer. Someone who has not used the feature needs a separate option or a way to skip the question. Keep both N/A and skipped answers outside the five or seven ordered categories.

Download all labeled examples (TXT) · Download the worked analysis (XLSX)

For a larger bank of response labels, see Iowa State’s scale examples (PDF) and Marquette’s response-scale reference.

SURVEY GUIDE

Give an opinion enough room to be useful.

A Likert item asks someone to respond to a statement on an ordered scale, often from strongly disagree to strongly agree. A Likert scale usually combines several related items to explore a broader concept.

The wording and labels are part of the measurement. Ask about one thing at a time, use balanced answer choices, and keep the direction of the scale consistent across your survey.

Choose five or seven points

Five points can keep choices simple; seven gives respondents more room to distinguish their views.

Label the response clearly

Make the endpoints and intermediate choices understandable in the context of the question.

Use a matrix carefully

Group related statements when it helps, and check that the experience remains readable on a phone.

FROM AN IDEA TO A FINISHED FORM

Here’s how
to get started.

Make the first version, test it, and give it your own finishing touches.

  1. Choose what to measure

    Write a clear statement about a single experience or attitude.

  2. Set a balanced scale

    Choose the number of points and use consistent, meaningful labels.

  3. Review the distribution

    Look at how answers are spread across the scale before reducing them to one number.

Types of Likert scales and rating labels

Agreement statements use a Likert response format. Satisfaction, frequency, ease, importance and likelihood questions are related ordered rating formats, often called “Likert-style” scales. Match the answer labels to what you ask.

PurposeAll five response labels
SatisfactionVery dissatisfied · Dissatisfied · Neither satisfied nor dissatisfied · Satisfied · Very satisfied
FrequencyNever · Rarely · Sometimes · Often · Always
ImportanceNot at all important · Slightly important · Moderately important · Very important · Extremely important
LikelihoodNot at all likely · Slightly likely · Moderately likely · Very likely · Extremely likely
EaseVery difficult · Difficult · Neither easy nor difficult · Easy · Very easy
IntensityNot at all · A little · Moderately · Very · Extremely

Agreement, satisfaction and ease can use two opposing ends with a midpoint. Importance and intensity often run from none to a great deal. “Moderately important” is a middle intensity, not a neutral opinion about importance.

An even-numbered scale removes the midpoint; use it only when that fits the measurement need and respondents can give a meaningful answer. Removing neutral does not remove uncertainty. A 0–10 recommendation question such as NPS has its own scoring method; it is not the five-point agreement scale used below.

23 Likert scale examples with answer labels

These 23 original starting points cover six jobs. Each links to its complete answer labels above; use the labels in the listed order. Add “Not applicable” separately when someone may lack the relevant experience. Patient-experience examples ask about service, not clinical screening or diagnosis.

Customer satisfaction

Employee engagement

Product and UX research

Patient experience

Education and course feedback

Market and brand research

Use frequency words with a clear period and audience. If you need the exact number of uses, ask for a count instead. Pilot the question with a few intended respondents before sending it widely.

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

Use ordered ratings to understand the strength of an attitude or an experience. They are useful for comparing the same clearly defined item across comparable groups or periods. Keep the question, labels, audience and collection method stable enough for the comparison to mean something.

  • Need a fact? Ask directly: “Did you finish setup?” is a yes/no question.
  • Need a reason? Follow the rating with an optional “What made that step unclear?” text question.
  • Need a validated measure? Use the instrument’s approved wording and scoring instructions. These examples are starting points, not validated multi-item scales.

How to analyze Likert scale data: worked example

Individual Likert responses are ordered categories: the distance between “Disagree” and “Neither agree nor disagree” is not known to equal the distance between “Agree” and “Strongly agree.” Start with counts and percentages for every category. The mode names the most common answer; the median locates the middle response in the ordered distribution.

A complete worked example

Question: “I knew what to do after signing up.” Both samples below are fictional, with 24 recorded responses each: 20 ratings, two “Not applicable” answers and two skipped answers. They illustrate the method, not a Youform customer result or an industry benchmark.

ResponseCodeSample ASample B
Strongly disagree12 (10%)0 (0%)
Disagree23 (15%)0 (0%)
Neither agree nor disagree34 (20%)12 (60%)
Agree47 (35%)8 (40%)
Strongly agree54 (20%)0 (0%)
Valid ratings1–52020
Not applicableExcluded22
Skipped / missingExcluded22

Define the denominator before calculating a percentage

For sample A, the agreement share is (7 + 4) ÷ 20 × 100 = 55%. Neutral is 4 ÷ 20 = 20%, and disagreement is (2 + 3) ÷ 20 = 25%. These three shares account for all 20 valid ratings. Report the two N/A and two missing answers separately; counting either as zero or as neutral would change the result.

“Top two box” means the two highest categories: Agree and Strongly agree on this five-point scale. Define that grouping before reporting it. A seven-point scale has an additional positive category, so its top-two share answers a different question from “any agreement.”

Why the same mean can describe different experiences

Assigning codes 1–5 gives sample A a weighted total of (2 × 1) + (3 × 2) + (4 × 3) + (7 × 4) + (4 × 5) = 68. Sample B also totals (12 × 3) + (8 × 4) = 68. Both coded means are 68 ÷ 20 = 3.4, but A has 55% agreement and 25% disagreement; B has 40% agreement and no disagreement. B’s most common answer is neutral; A’s is Agree.

If you report a mean, explain the numeric coding and the assumption of equally spaced scores, and show the distribution beside it. Do not combine unrelated items into one score. For validated multi-item measures, follow the instrument’s scoring guidance.

Turn the result into a useful next question

In sample A, five respondents disagreed that the next step was clear. Review their optional explanations to identify which step confused them; the rating alone does not tell you the cause. Compare groups alongside their sample sizes and collection methods. These small fictional samples do not establish a statistically significant change.

Download the editable report and formulas (XLSX) or download the 48 raw fictional responses (CSV). The workbook maps exact answer labels to codes, separates N/A, missing and invalid answers, and calculates both distributions. Replace the inputs to analyze your own five-point agreement item; instructions are included.

Build the question and collect answers in Youform

Youform supplies the questions and response collection. The downloadable workbook supplies the example calculations; it is a separate spreadsheet, not a built-in Youform statistical report.

  1. Add a Single select question. Use “I knew what to do after signing up.” and enter all five agreement labels in order. Add “Not applicable” as a separate option if needed. Leave the question optional if respondents should be able to skip it.
  2. Keep related items readable. Youform also supports Matrix questions with rows and columns. Use a small group of related statements with the same labels; preview the actual form on a phone before sharing it. Single-select questions are a straightforward alternative for longer labels.
  3. Collect the explanation. Add an optional text question such as “Which step, if any, was unclear?” Share the form’s link or embed it where the experience happens.
  4. Move the answers into a sheet. Use Youform’s CSV export, or open the form’s Integrate tab to connect a Google account and Google Sheets. For this workbook, paste one question’s answer text into Responses column C, a group of A or B in column A, and a unique response ID in column B. Use one row per recorded response, including skipped answers.

The workbook accepts up to 1,000 response rows. Keep its five labels unchanged; unmatched text is flagged as invalid. Excel can open the XLSX file; Google Sheets can import it. Check the totals after import. Connecting Youform to Sheets does not automatically populate this separate workbook.

See Youform’s question-type reference and Google Sheets setup instructions. Start from the related templates below, then enter and check your own wording and answer labels.

Common Likert scale pitfalls

  • Ask one thing at a time. Split “The product is fast and reliable” into separate items. See double-barreled questions.
  • Use direct wording. “How easy was checkout?” with difficulty-to-ease labels is more direct than asking respondents to agree that checkout was easy. Avoid leading language and confusing reversals.
  • Keep direction consistent. Do not alternate whether positive answers appear first or last. If an established instrument requires reverse-scoring, apply its documented method.
  • Keep neutral, N/A and missing distinct. Removing the midpoint cannot make an uninformed answer meaningful. Offer a relevant way out.
  • Match the options to the question. Importance questions need importance labels, not agreement labels. Do not mix rating formats into one total.
  • Check the respondent’s view. Preview long labels, keyboard operation and any matrix on a phone. A scale that fits on your editing screen may be hard to use in the final form.

For survey wording, answer-order effects and pilot testing, see Pew Research Center’s question-writing guidance. Scale references and linked Youform documentation reviewed 15 October 2026.

A LITTLE HEAD START

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GOOD QUESTIONS

A few things
you might be wondering.

Ask the Youform team
What is the difference between a five-point and seven-point scale?
A five-point scale offers fewer distinctions and is often simpler to answer. Seven points adds more gradations. Use the level of detail your audience and analysis need.
Should I include a neutral answer?
Use a neutral midpoint when a neutral position is meaningful. If a question may not apply, consider a separate not-applicable option rather than treating it as neutral.
Can I average Likert responses?
Individual responses are ordered categories. Averages are sometimes used, but the distribution, median, and mode often communicate the result more clearly. State your method and use it consistently.
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