Likert Scale Examples: Answer Options for Every Kind of Question
The answer options matter as much as the question. A satisfaction question with agreement labels, or a scale with three positive points and one negative, quietly bends every answer it collects. Below are balanced label sets for the nine kinds of rating question surveys ask most, each with a question it fits and a button to copy the labels. For choosing between 5 and 7 points and analyzing the results, see the companion guide on how to design and analyze Likert scales.
Which Likert scale fits your question?
Match the scale to how the question opens. If the question asks how satisfied someone was, the answers should be about satisfaction, not agreement.
| If your question is | Use |
|---|---|
| A statement to react to | Agreement scale |
| "How likely are you to..." | Likelihood scale |
| "How satisfied were you with..." | Satisfaction scale |
| "How easy was it to..." | Ease scale |
| "How would you rate..." | Quality scale |
| "How often do you..." | Frequency scale |
| "How important is..." | Importance scale |
| "How concerned are you about..." | Concern scale |
| "How familiar are you with..." | Familiarity scale |
Likert scale examples by type
Every set runs from lowest to highest. Keep that direction the same across a whole survey, so the positive end is always on the same side.
Agreement scale
bipolarFor statements people can agree or disagree with. The classic Likert scale.
Example: The onboarding process prepared me well for my role.
- 1Strongly disagree
- 2Disagree
- 3Neither agree nor disagree
- 4Agree
- 5Strongly agree
- 1Strongly disagree
- 2Disagree
- 3Somewhat disagree
- 4Neither agree nor disagree
- 5Somewhat agree
- 6Agree
- 7Strongly agree
Likelihood scale
bipolarFor future behavior: renewing, buying again, attending next year.
Example: How likely are you to renew your subscription next year?
- 1Very unlikely
- 2Unlikely
- 3Neither likely nor unlikely
- 4Likely
- 5Very likely
- 1Very unlikely
- 2Unlikely
- 3Somewhat unlikely
- 4Neither likely nor unlikely
- 5Somewhat likely
- 6Likely
- 7Very likely
Satisfaction scale
bipolarFor an experience someone has already had: a purchase, a support call, an event.
Example: How satisfied were you with the speed of our support team?
- 1Very dissatisfied
- 2Dissatisfied
- 3Neither satisfied nor dissatisfied
- 4Satisfied
- 5Very satisfied
- 1Very dissatisfied
- 2Dissatisfied
- 3Somewhat dissatisfied
- 4Neither satisfied nor dissatisfied
- 5Somewhat satisfied
- 6Satisfied
- 7Very satisfied
Ease scale
bipolarFor how much effort something took: finding information, getting a problem solved, completing a task.
Example: How easy was it to find the information you needed?
- 1Very difficult
- 2Difficult
- 3Neither easy nor difficult
- 4Easy
- 5Very easy
Quality scale
bipolarFor rating something specific: a product, a session, a speaker, a meal.
Example: How would you rate the quality of the workshop materials?
- 1Very poor
- 2Poor
- 3Fair
- 4Good
- 5Very good
Frequency scale
unipolarFor how often something happens. Swap in real time periods when you can.
Example: How often do you use the reporting feature?
- 1Never
- 2Rarely
- 3Sometimes
- 4Often
- 5Always
Importance scale
unipolarFor ranking what matters to people before deciding what to work on.
Example: How important is price when you choose a supplier?
- 1Not at all important
- 2Slightly important
- 3Moderately important
- 4Very important
- 5Extremely important
Concern scale
unipolarFor worries and risks: job security, data privacy, upcoming changes.
Example: How concerned are you about the planned office move?
- 1Not at all concerned
- 2Slightly concerned
- 3Moderately concerned
- 4Very concerned
- 5Extremely concerned
Familiarity scale
unipolarFor how well people know something, often as a screening question before asking their opinion of it.
Example: How familiar are you with our new pricing plans?
- 1Not at all familiar
- 2Slightly familiar
- 3Moderately familiar
- 4Very familiar
- 5Extremely familiar
What do "somewhat agree" and "moderately agree" mean?
Both are the in-between points a 7-point scale adds, but they sit in different places, because 7-point agreement scales come in two common wordings:
- Somewhat / Agree / Strongly: "Somewhat agree" is the weakest agreement, one step above the neutral middle.
- Slightly / Moderately / Strongly: "Moderately agree" is the second strongest agreement, the same position as plain "Agree" in the first wording.
- 1Strongly disagree
- 2Moderately disagree
- 3Slightly disagree
- 4Neither agree nor disagree
- 5Slightly agree
- 6Moderately agree
- 7Strongly agree
On a unipolar scale the same word means something else again: "Moderately important" is the middle point, not a strong one. Whichever wording you choose, use it everywhere, and don't mix "somewhat" and "moderately" in one survey. Respondents read them as different strengths, and you can't combine the answers afterwards.
What is the difference between a bipolar and a unipolar scale?
A bipolar scale runs between two opposites, with a neutral point in the middle: disagree to agree, dissatisfied to satisfied, unlikely to likely. A unipolar scale measures how much of one thing there is, from none to a lot: not at all important to extremely important, never to always.
The difference matters in two places. A unipolar scale has no neutral answer, so its middle point is a moderate amount, not "no opinion". And a unipolar question shouldn't be given bipolar labels: "How important is price?" answered from "Very unimportant" to "Very important" invents an opposite of importance that most people don't have a view on.
Which label mistakes should you avoid?
- Labels that don't match the question. "How satisfied were you?" with Strongly disagree to Strongly agree forces people to translate before they answer.
- Tilted scales. Poor, Fair, Good, Very good, Excellent has one negative point and three positive ones, so it pulls answers upward. That can be a deliberate choice when you expect mostly good ratings and want detail at the top, but then don't report "Good" as the neutral middle.
- Mixed scales in one grid. If several statements share a grid, they need to share a scale too. Switching between agreement and satisfaction inside one block is easy to miss when answering fast.
- "Not applicable" in the middle. Someone who has never used a feature isn't neutral about it. Give them a separate N/A option or make the question optional, so they don't pull the results towards the middle.
For the wording of the question itself, see how to write survey questions that get honest answers.
Frequently asked questions
What are the 5 points of a Likert scale?
The standard 5-point agreement scale is Strongly disagree, Disagree, Neither agree nor disagree, Agree, Strongly agree. Other 5-point scales follow the same shape: two negative points, a neutral middle and two positive points, for example Very dissatisfied to Very satisfied, or Very unlikely to Very likely.
What is a 7-point Likert scale?
A 7-point scale adds a weaker point on each side of the middle: Strongly disagree, Disagree, Somewhat disagree, Neither agree nor disagree, Somewhat agree, Agree, Strongly agree. A common alternative wording uses Slightly, Moderately and Strongly on each side instead.
What does "moderately agree" mean?
On a 7-point agreement scale worded Slightly / Moderately / Strongly, "moderately agree" is the second strongest level of agreement: more than slightly, less than strongly. It sits in the same place as plain "Agree" on the more common Somewhat / Agree / Strongly wording.
Is "neither agree nor disagree" the same as neutral?
Yes, they are used interchangeably for the middle point. "Neither agree nor disagree" is usually clearer, because "Neutral" can be read as "I don't know", which is a different answer and is better offered as a separate Not applicable option.
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