Likert Scales: How to Design and Analyze Them
A Likert scale is the "Strongly disagree to Strongly agree" question almost every survey uses. It looks simple, and it mostly is, but three decisions make the difference between data you can act on and data that only looks precise: how many points, whether to offer a neutral middle, and how you report the results afterwards.
What is a Likert scale?
A Likert scale asks people how much they agree with a statement, on a set of ordered answer points. It is named after the psychologist Rensis Likert, who introduced it in 1932. Strictly speaking, a "Likert scale" is several related statements whose answers are combined into one score, and a single question is a "Likert item," but in everyday use the term covers any ordered rating question: agreement, satisfaction, frequency, importance.
Common, balanced 5-point label sets:
| Measures | Labels, lowest to highest |
|---|---|
| Agreement | Strongly disagree · Disagree · Neither agree nor disagree · Agree · Strongly agree |
| Satisfaction | Very dissatisfied · Dissatisfied · Neutral · Satisfied · Very satisfied |
| Frequency | Never · Rarely · Sometimes · Often · Always |
| Importance | Not at all important · Slightly important · Moderately important · Very important · Extremely important |
| Likelihood | Very unlikely · Unlikely · Neither likely nor unlikely · Likely · Very likely |
Should you use a 5-point or 7-point Likert scale?
Use five unless you have a reason not to. Five points are quick to answer, fit comfortably on a phone screen, and every point can carry a clear label. Seven points offer slightly finer distinctions, which can help when respondents are experts or the differences you care about are subtle, but most people can't reliably tell "somewhat agree" from "agree" from "moderately agree," so the extra points mostly add noise. Past seven, the added effort buys little.
Whichever you pick, keep it the same across every related question and every survey wave. You can't meaningfully compare a 5-point result from last year with a 7-point one this year.
Should a Likert scale have a neutral midpoint?
Usually, yes. An odd number of points gives a true middle option, and some respondents genuinely have no opinion. Remove it and they're forced to pick a side more or less at random, which looks like signal but isn't. The argument for an even scale is that some people pick the middle to avoid thinking; that's real, but the fix is a clearer statement, not a forced choice.
Keep "Neither agree nor disagree" and "Not applicable" separate, though. Someone who has never used your support team isn't neutral about it. Folding them into the midpoint drags every result towards the middle. Make the question optional, or add a separate N/A choice.
How do you write good Likert statements?
- One idea per statement. "My manager is supportive and gives useful feedback" is two statements. Someone who agrees with half has no honest answer.
- Concrete over abstract. "I have the resources I need to do my job well" gets more consistent answers than "I feel empowered."
- Keep the direction consistent. Flipping some statements negative to catch careless answering mostly catches careful people misreading them. Keep every statement worded so that agreeing means the same kind of thing.
- Balance the labels. Equal numbers of positive and negative points around the middle, as in the table above.
For the wider set of wording mistakes that bias answers, see how to write survey questions that get honest answers. The employee engagement survey template uses three agreement statements written to these rules, if you want a worked example.
How do you analyze Likert scale data?
Start with the distribution: how many people chose each point. An average on its own can hide the thing you most need to know. These two teams have exactly the same mean:
| Team | 1 | 2 | 3 | 4 | 5 | Mean |
|---|---|---|---|---|---|---|
| Team A | 0% | 10% | 80% | 10% | 0% | 3.0 |
| Team B | 40% | 5% | 10% | 5% | 40% | 3.0 |
Team A broadly shrugs. Team B is split into two camps who feel strongly in opposite directions, and that calls for a completely different response. Both read "3.0" on a dashboard.
Three ways to report Likert results, from most to least detailed:
- The full distribution, as a stacked or grouped bar. Best for a single important question.
- Top-two-box: the share who chose the two most positive points ("68% agree or strongly agree"). Easy to read, easy to compare across questions and over time. Report the bottom two alongside it when disagreement matters.
- The mean, for tracking a trend or ranking many statements quickly. Fine as a summary, as long as the distribution is available to anyone who asks.
Always state the number of responses behind each figure, especially for optional questions that fewer people answered. For how many you need before a percentage means much, see how many survey responses you need for reliable results.
Is NPS a Likert scale?
Not quite. NPS uses a 0 to 10 likelihood scale, but it isn't analyzed like one: instead of an average, answers are grouped into promoters, passives and detractors, and the score is the difference between two of those groups. CSAT is closer to a classic Likert item. See NPS vs CSAT for how each is calculated.
Frequently asked questions
What is a Likert scale?
A Likert scale is a rating question where respondents say how much they agree or disagree with a statement, usually on five or seven ordered points from "Strongly disagree" to "Strongly agree". It is named after the psychologist Rensis Likert, who introduced it in 1932. The term is also widely used for any similar ordered rating, such as satisfaction or frequency scales.
Should a Likert scale have 5 or 7 points?
Five points is the safe default: easy to answer on a phone and easy to label clearly. Seven points gives slightly finer distinctions and can suit audiences who think carefully about their answers, but going beyond seven adds effort without adding much useful information.
Should a Likert scale have a neutral option?
Usually yes. Some people genuinely have no opinion, and without a midpoint they are forced to pick a side at random, which adds noise. Leave it out only when you have a specific reason to force a lean and are confident everyone has an informed view.
Can you average Likert scale data?
You can, and it is common practice, but an average alone can hide the story. Two groups can have the same mean with completely different answers underneath. Report the distribution or the share who agree (the top two boxes) alongside any average.
- NPS vs CSAT: Which Survey Metric Should You Use? · What each score actually measures, how they're calculated, and when to run one, the other, or both.
- How to Write Survey Questions That Get Honest Answers · Seven concrete ways question wording quietly biases responses, and how to fix each one.
- How Many Survey Responses Do You Need for Reliable Results? · A practical sample size table by audience size, and what to do when you can't hit the number.
- How to Analyze Open-Ended Survey Responses · A practical method for turning free-text answers into themes you can count, quote, and act on.
- What Is a Good Survey Response Rate, and How Do You Raise It? · How to calculate response rate, why benchmarks mislead, and the changes that actually get more people to answer.
- How to Present Survey Results to Leadership · How to structure a survey report so the people reading it can make a decision, not just look at charts.
- Employee engagement survey template · Agreement statements plus eNPS, ready to send
SurveyService supports scale, NPS, CSAT, matrix, multiple choice, checkbox and free-text questions, with an AI summary that reads them all together. Try it free.