A Likert scale is a survey question that asks respondents to rate something on a fixed ordinal scale — usually agreement, satisfaction, or frequency. “Strongly disagree” to “strongly agree” with three or five steps in between. It’s the most common question type in survey research.
It’s also the most overused.
This guide covers what a Likert scale actually is, the few cases where it’s the right tool, and the cases where you should use something else. If you walk away with one rule, make it this: don’t reach for a Likert scale by default. Reach for it when you’ve decided you need ordinal sentiment data and nothing simpler will do.
What a Likert scale actually is
Rensis Likert published the scale in 1932 to measure attitudes toward race, nationalism, and economics. The original version had five points and used agreement anchors: strongly disagree, disagree, neutral, agree, strongly agree.
That structure has barely changed in 90 years because it works. Respondents understand it intuitively. The data is easy to compare across questions and across time. And you can hand it to a non-researcher and get useful results.
Two things to know:
- A Likert scale is ordinal, not interval. The distance between “agree” and “strongly agree” is not necessarily the same as between “neutral” and “agree.” This matters when you analyze the data — averaging Likert responses is technically wrong, even though everyone does it.
- A Likert item is one question. A Likert scale is a set of items measuring the same underlying construct. When people say “Likert scale” they usually mean the item. The distinction matters when you’re trying to measure something complex like employee engagement, where one question won’t cover it.
5 points or 7 points: settled
The honest answer: use 5 points unless you have a specific reason to use 7.
Five points is enough resolution for almost every business survey. It’s faster to answer on mobile. It produces cleaner cross-tabs because each bucket has more responses. And respondents don’t have to think about whether they’re a “6” or a “7” — a distinction they often can’t make meaningfully.
Use 7 points when:
- Your audience is highly engaged and your survey is short (academic research, panel studies)
- You need finer resolution to detect small changes over time
- You’re benchmarking against a published instrument that uses 7 points
Avoid 10-point Likert scales for sentiment. Ten points is for NPS specifically, where the scale buckets (0–6 detractor, 7–8 passive, 9–10 promoter) do real analytical work. Outside NPS, a 10-point scale just gives respondents more ways to misuse the middle.
Should you include a neutral middle?
Yes, almost always.
The argument against the neutral midpoint is that it lets respondents avoid taking a position. The argument for it is that forcing a position when someone genuinely doesn’t have one produces noise, not signal.
The forcing argument loses. If a respondent doesn’t have an opinion, the honest answer is “neutral.” If you remove that option, you don’t get clearer data — you get respondents picking “slightly agree” or “slightly disagree” at random, which is worse than knowing they were neutral.
Use an even-numbered scale (no midpoint) only when:
- The construct you’re measuring genuinely has no meaningful neutral (e.g., “did you complete the task — yes or no” type questions)
- You’re running a forced-choice exercise on purpose and your audience knows it
Otherwise, give people the middle.
The 4 mistakes that ruin Likert data
1. Unbalanced anchors
“Excellent / Very Good / Good / Fair / Poor” is not a Likert scale. It’s a sentiment scale with the thumb on the positive end. Three of the five options are positive, one is neutral, one is negative.
Real Likert anchors are symmetric. If the positive endpoint is “strongly agree,” the negative endpoint should be “strongly disagree” — not “disagree somewhat.”
2. Vague middle labels
“Neither agree nor disagree” is clearer than “Neutral.” Neutral can mean “no opinion,” “this doesn’t apply to me,” or “I haven’t thought about it” — three different things you’d analyze differently.
If you can, separate “Neutral” from “Not applicable” as distinct options.
3. Mixing positive and negative phrasing in the same survey
Some methodologists recommend reverse-coding questions to catch inattentive respondents. (“I am satisfied with my manager” mixed with “I would prefer a different manager.”) In practice, this confuses more respondents than it catches, and it inflates noise.
Pick a direction and stay there. If you must screen for inattention, use an explicit attention check (“Please select ‘agree’ for this question”).
4. Treating ordinal data as interval
Calculating a “mean Likert score” of 3.7 is technically wrong, and yet it’s how every dashboard reports it. The pragmatic compromise: report the mean for trending and visualization, but use top-2-box (% who chose “agree” or “strongly agree”) for headline numbers and analysis. Top-2-box doesn’t pretend the distances between scale points are equal.
When NOT to use a Likert scale
A Likert scale is the right tool when you want to compare sentiment across many items or many respondents. It is the wrong tool when:
- You need a yes/no answer. “Did you complete the onboarding flow?” is binary. Don’t dress it up.
- You need a number. “How many surveys do you run per quarter?” is a count. Use an open-ended numeric field.
- You need ranking, not rating. If you want to know which of five features is most important, ask people to rank them. Likert-rating each feature separately tends to produce all-5s — everything is “important” in isolation.
- You need open-ended insight. “What’s frustrating about your current tool?” cannot be answered on a 5-point scale.
- You’re measuring NPS. Use the 0–10 NPS scale, not a Likert scale dressed up to look like one.
Examples that work
Employee engagement
“I have a clear understanding of how my work contributes to the company’s goals.” Strongly disagree / Disagree / Neither / Agree / Strongly agree
Post-purchase CSAT
“How satisfied were you with the checkout experience?” Very dissatisfied / Dissatisfied / Neither / Satisfied / Very satisfied
Product feedback
“The new dashboard makes it easier to find the report I need.” Strongly disagree / Disagree / Neither / Agree / Strongly agree
Notice what these have in common: each question makes one claim. Each anchor is balanced. None of them try to do two things at once.
Building one in SurveyRock
SurveyRock supports configurable Likert scales with custom anchor labels and a matrix layout when you want to ask the same question structure across multiple items at once. The matrix view is great on desktop but worth previewing on mobile before sending.
Bottom line
A Likert scale is the right answer to a specific question: “How do I measure ordinal sentiment across multiple items in a way respondents understand?” If that’s not your question, use a different question type.
When it is your question, use 5 points, keep the neutral middle, balance your anchors, and report top-2-box instead of means.
Ready to build one? Start a free SurveyRock account — Likert and matrix question types are built in, with mobile preview before you send.