TL;DR. Likert scales rate agreement on a 5- or 7-point spectrum. This page gives 50 ready-to-use Likert items across employee surveys, customer feedback, course evaluation, and behavioural research — plus the rules for writing items that yield comparable, reliable data.
What is a Likert scale?
Named after psychologist Rensis Likert (1932). Standard 5-point:
Strongly Disagree → 2. Disagree → 3. Neutral → 4. Agree → 5. Strongly Agree7-point versions add “Slightly” on each side.
Design rules
**One concept per item.** Split double-barreled statements.**Avoid negatives.** “The training was useful” over “The training was not useful.”**Balance valenced items.** Mix positive and negative so agreement bias doesn't skew data.**Neutral wording.** “I'm satisfied” over “I love.”**Pre-test on 10 colleagues** before launch.Employee engagement (10)
I feel valued by my manager.I have the resources I need to do my job well.My work makes a meaningful contribution.I have a clear understanding of what is expected of me.I receive helpful feedback regularly.I would recommend this company as a great place to work.I see myself working here in two years.My manager treats me with respect.I am proud of the work I do.My workload is manageable.Customer feedback (10)
The product met my expectations.The product was easy to use.I would recommend this product to others.The price was fair.Customer service responded quickly.The product was delivered on time.I will purchase from this company again.The website was easy to navigate.The product description matched what I received.I felt valued as a customer.Course evaluation (10)
The course objectives were clearly stated.The instructor was well-prepared.The course materials were helpful.The course pace was appropriate.The instructor was responsive to questions.The assessments accurately measured what was taught.I would recommend this course to others.The course met my learning goals.The workload was manageable.I am more confident in this subject after the course.User experience (10)
The app is easy to navigate.I rarely encounter bugs or errors.The features I need are easy to find.The app loads quickly.I trust the app with my data.I am satisfied with the design.The notifications are useful, not annoying.The onboarding helped me get started.I would recommend this app to a friend.The app provides good value.Behavioural / health (10)
I exercise at least three times a week.I get at least 7 hours of sleep on most nights.I eat balanced meals throughout the week.I make time for things that matter to me.I feel rested most mornings.I drink at least 6 glasses of water per day.I take short breaks during the workday.I am happy with my current weight.I feel stressed most days.I have time for hobbies and recreation.Scoring Likert data
Simple: assign 1–5, report mean per item.Rigorous: treat as ordinal; report median and mode; use non-parametric tests (Mann-Whitney U) for comparisons.Composite scores: sum/average related items; check Cronbach's alpha (≥0.7 = acceptable).Common mistakes
Double-barreled items.Loaded language.Imbalanced response options.Forcing a midpoint when one isn't natural.Surveys over 30 items (drop-off).[Multiple Choice vs Open-Ended](/blog/multiple-choice-vs-open-ended)[Open-Ended vs Closed-Ended Questions](/blog/open-ended-vs-closed-ended-questions)[How to Write Good Quiz Questions](/blog/how-to-write-good-quiz-questions)What a Likert scale measures
Likert items measure attitudes, opinions, perceptions, or self-reported behaviors on an ordinal scale. The classic 5-point version: Strongly Disagree / Disagree / Neutral / Agree / Strongly Agree. Variants:
4-point (forced choice, no neutral middle) — pushes respondents off the fence.7-point (more granularity) — common in research; mixed results in practice.10-point Likert — closer to a slider; sometimes confused with NPS.Frequency Likert — Never / Rarely / Sometimes / Often / Always. For behavior reporting.Satisfaction Likert — Very Dissatisfied to Very Satisfied. For customer or employee surveys.The mathematical caveat: Likert produces ordinal data, not interval. The "distance" from Agree to Strongly Agree isn't necessarily the same as from Neutral to Agree. Statistical analysis should respect this (medians, not means, are technically more appropriate — though means are widely used in practice).
Common applications
Employee engagement surveys (Gallup Q12 is the most-cited).Customer satisfaction (CSAT) surveys.Product feedback at end of trial or purchase.Student course evaluations.Psychological scales (Big Five personality, depression inventories, etc.).UX research questionnaires (System Usability Scale, NASA-TLX).Public opinion polling on policy or social topics.Writing good Likert items
A few rules that distinguish well-written items from common mistakes:
One concept per item. "The team is effective and well-managed" is two questions disguised as one. Split.Balanced wording. Avoid leading phrasing like "How great was..." vs. "How poor was...". Neutral statements work best.No double negatives. "I would not be unhappy with..." is confusing. Rewrite positively.Specific time frame when relevant. "In the past month..." anchors recall better than "generally".Avoid jargon and acronyms. Respondents who don't recognize a term either skip or guess.Match agreement to the statement. "How often..." should use a frequency scale, not agree/disagree.Common analysis pitfalls
Averaging ordinal data. Technically incorrect; widely tolerated. Be aware when reporting.Ignoring response bias. Some respondents systematically select extremes; some always pick the middle. Reverse-coded items help detect this.Treating "Neutral" as a meaningful middle. It often means "I don't know" or "I haven't thought about this." Consider whether you want that response.Sample size sensitivity. Likert with under 30 respondents is too noisy for confident conclusions about subgroups.A strong survey rarely uses Likert alone. Combine with:
Open-ended follow-up. "You rated this 2 out of 5. What's the main reason?" Gets context the scale can't.NPS or 0-10 satisfaction. Different mental model than 5-point Likert; useful for benchmarking.Pick-one or pick-many questions. For categorical data.Demographic questions at the end. Lets you segment results.Likert in education
Use cases inside educational contexts:
End-of-unit student self-assessment. "I feel confident I could explain photosynthesis to a peer" (1-5).Course evaluation. Multiple items covering pacing, materials, instructor, content.Pre/post intervention measurement. Compare scores before and after a teaching change.Climate surveys. Student perceptions of belonging, safety, fairness.The educational measurement community has produced many validated Likert scales for specific constructs (sense of belonging, growth mindset, math anxiety, etc.). Using validated scales is usually better than writing your own.
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