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Free Likert Survey

50+ Sample Likert Scale Questions to Try on Your Next Survey

Measure opinions and track satisfaction with targeted Likert survey questions that capture agreement or disagreement on a simple five- or seven-point scale. This powerful survey type quantifies attitudes - asking respondents how much they agree or disagree - so you can spot trends, benchmark performance, and drive data-driven decisions. Download our free template preloaded with example Likert scale questions, or head to our online form builder to customize your own survey.

I find the products I purchase to be of high quality.
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Strongly disagreeStrongly agree
I am satisfied with the customer service I receive.
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Strongly disagreeStrongly agree
I would recommend these products or services to others.
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Strongly disagreeStrongly agree
I find the pricing of the products or services to be reasonable.
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Strongly disagreeStrongly agree
The website or app is easy to navigate.
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Strongly disagreeStrongly agree
I feel confident in making purchases using this platform.
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Strongly disagreeStrongly agree
I will continue to use these products or services in the future.
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Strongly disagreeStrongly agree
Overall, I am satisfied with my experience.
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Strongly disagreeStrongly agree
Please select your age range.
Under 18
18-24
25-34
35-44
45-54
55-64
65 or older
What is your gender identity?
Male
Female
Non-binary
Prefer not to say
Other
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Top Secrets for Crafting a Powerful Likert Survey

Likert survey templates matter because they offer a clear window into opinions, attitudes, and behaviors. When you craft the right questions, you capture the nuances of how people really feel. Using balanced scales, like a classic 5-point system, keeps your data reliable. Many organizations lean on these tools to drive smarter decisions and deepen empathy.

Start small: ask "How satisfied are you with our product?" or "What do you value most about our customer support?" These sample questions guide respondents gently from strong agreement to strong disagreement. A well-designed Likert Scale Survey follows research best practices. For more on scale structure, see Wikipedia's Likert scale overview.

Balance your options and align them symmetrically around a neutral midpoint. Experts warn against uneven labels that bias answers. Jamieson's study on Likert Scales: How to (Ab)use Them highlights the risk of treating ordinal data as interval data. Designing scales well pays off in cleaner, more accurate insights.

Picture this: you've just set up a quick poll to gauge team morale. You track opinions on a 1-to-5 scale and spot areas to celebrate or improve. With clear labels and consistent phrasing, you avoid confusion. That simple step turns raw feedback into a roadmap for change.

Illustration showcasing the power of asking the right Likert survey questions.
Illustration showcasing relevant topics for Likert survey questions based on internet searches.

5 Must-Know Tips to Avoid Likert Survey Pitfalls

Even a straightforward Likert survey can stumble over hidden traps. Using leading language or stacking two ideas in one question skews your results. That double-barreled error frustrates respondents and muddies insights. Clear, concise wording makes a big difference.

Start with sharp examples like "How likely are you to recommend our service to a friend?" or "I often find the interface easy to navigate." These agree disagree survey questions guide users smoothly across your scale. Always pretest your draft to catch confusing phrasing. A focused Attitudinal Survey raises both clarity and completion rates.

Picture rolling out a feedback form after a website redesign. You mislabel one end as "slightly agree" and the other as "extremely agree," and responses cluster oddly. Carifio and Perla's paper on common Likert myths highlights exactly this problem. Learning from real slip-ups helps you dodge the same pitfalls.

Watch out for unbalanced scales and biased labels that push respondents toward a desired answer. Too many positive points create false enthusiasm. Norman's research on levels of measurement lays out when statistical tests fit your data. Follow these five must-knows, and your next survey will deliver rock-solid insights.

Agree-Disagree Survey Questions

These questions help you measure how strongly respondents agree or disagree with clear statements to gauge attitudes and opinions accurately. Use this set to capture polarized responses and identify areas for improvement in communication and support. For best practices on crafting engaging surveys, see our Feedback Survey .

  1. I feel confident using the latest version of our software.

    Rationale: Measures self-assessed comfort with a tool, indicating training effectiveness and usability. Identifies if additional support or resources are required.

  2. I am satisfied with the clarity of company communications.

    Rationale: Assesses how well information is conveyed to employees. Highlights gaps in messaging that may impact performance.

  3. I trust the leadership team to make effective decisions.

    Rationale: Gauges confidence in management's vision and actions. Helps pinpoint areas where leadership transparency can improve.

  4. I find the training materials provided to be helpful.

    Rationale: Evaluates the usefulness of support resources. Indicates whether documentation and tutorials meet users' needs.

  5. I believe the project deadlines set by my manager are realistic.

    Rationale: Measures perceived feasibility of work schedules. Identifies potential issues in project planning and workload balance.

  6. I feel comfortable sharing new ideas with my colleagues.

    Rationale: Assesses openness of team culture. Reveals if psychological safety is strong enough to encourage innovation.

  7. I feel valued for my contributions to the team.

    Rationale: Gauges recognition and morale among employees. Helps prioritize engagement and reward initiatives.

  8. I see opportunities for professional growth within the organization.

    Rationale: Measures career-development perceptions. Indicates the effectiveness of internal promotion and training programs.

  9. I think the company's goals are communicated clearly.

    Rationale: Assesses alignment between leadership objectives and employee understanding. Highlights areas needing clearer strategic messaging.

  10. I am satisfied with the level of support I receive from my manager.

    Rationale: Evaluates managerial effectiveness in providing guidance. Identifies training needs for supervisors.

Agreement Scale Questions

This category focuses on using a scale to determine how much respondents agree with product, service, or process statements. It's ideal for pinpointing strengths and weaknesses in offerings. For deeper insights into attitude measurement, visit our Attitudinal Survey .

  1. The product design meets my expectations.

    Rationale: Assesses alignment between user needs and design output. Helps guide future iterations for better user satisfaction.

  2. The user interface is intuitive to navigate.

    Rationale: Measures ease of use and overall UX quality. Indicates where interface improvements may be needed.

  3. The customer service team responds promptly.

    Rationale: Evaluates responsiveness of support channels. Highlights opportunities to reduce wait times and increase satisfaction.

  4. The pricing of the product offers good value.

    Rationale: Gauges perceived fairness of cost versus benefit. Helps in pricing strategy and competitive positioning.

  5. The return policy is fair and transparent.

    Rationale: Measures trust in post-purchase processes. Identifies clarity issues in policy communication.

  6. The website loads quickly on my device.

    Rationale: Assesses technical performance and speed. Signals potential optimization areas for better user retention.

  7. The marketing materials accurately represent the product.

    Rationale: Evaluates consistency between promotion and reality. Helps reduce customer dissatisfaction from mismatched expectations.

  8. The onboarding process was straightforward.

    Rationale: Measures initial user experience and friction points. Guides improvements in welcoming new users.

  9. The visual design of the app is appealing.

    Rationale: Assesses aesthetic satisfaction, which can impact engagement. Informs design revisions for better appeal.

  10. The documentation provided covers all my questions.

    Rationale: Evaluates completeness of support materials. Highlights knowledge gaps that need to be addressed.

Example Likert Scale Questions

These sample questions illustrate how to structure balanced Likert statements across various topics to elicit meaningful feedback. They serve as a model for creating your own tailored survey items. For more examples, check our Likert Scale Survey .

  1. I am generally satisfied with my daily work-life balance.

    Rationale: Measures overall well-being, revealing stress or overload. Helps inform wellness and productivity initiatives.

  2. I often feel motivated to take on new challenges.

    Rationale: Gauges intrinsic motivation and engagement. Indicates areas to boost morale and professional development.

  3. I enjoy collaborating with my peers on projects.

    Rationale: Assesses teamwork dynamics and social cohesion. Guides improvements in collaborative tools or processes.

  4. I would recommend this service to a friend.

    Rationale: Captures advocacy intent beyond satisfaction. Acts as an informal net-promoter indicator.

  5. I feel stressed when facing tight deadlines.

    Rationale: Measures stress triggers and workload management issues. Helps allocate resources and adjust timelines.

  6. I find it easy to learn new technologies.

    Rationale: Assesses adaptability and support for training. Identifies gaps in learning resources and onboarding.

  7. I am comfortable asking for help when needed.

    Rationale: Gauges psychological safety in teams. Highlights cultural barriers to open communication.

  8. I feel recognized for my achievements.

    Rationale: Measures acknowledgment practices and morale. Guides reward and recognition program enhancements.

  9. I am proactive in finding solutions to problems.

    Rationale: Assesses initiative and self-reliance. Indicates whether environments foster creative problem solving.

  10. I feel a sense of belonging at my workplace.

    Rationale: Measures inclusion and community within the organization. Helps design diversity and inclusion efforts.

Likelihood and Recommendation Questions

This set uses a likelihood scale to determine how likely respondents are to act in certain ways, from recommendations to renewals. It's ideal for gauging future behaviors and loyalty. Learn more about predictive metrics in our Likelihood Survey .

  1. How likely are you to recommend our product to a friend?

    Rationale: Captures net promoter-style insight into advocacy. Indicates brand loyalty and word-of-mouth potential.

  2. How likely are you to renew your subscription next year?

    Rationale: Predicts retention rates and future revenue. Helps identify factors influencing churn.

  3. How likely are you to try a new feature we release?

    Rationale: Measures interest in innovation and product updates. Informs rollout strategies for new features.

  4. How likely are you to contact support if you encounter an issue?

    Rationale: Gauges comfort with support channels and self-service options. Helps optimize help resources.

  5. How likely are you to attend our upcoming webinar?

    Rationale: Assesses interest in educational content. Guides event planning and marketing efforts.

  6. How likely are you to purchase additional services from us?

    Rationale: Evaluates upsell potential and customer growth. Highlights cross-sell opportunities.

  7. How likely are you to share feedback on your experience?

    Rationale: Measures willingness to engage in improvement processes. Helps plan outreach and feedback channels.

  8. How likely are you to switch to a competitor's product?

    Rationale: Predicts churn risk and competitive pressures. Informs defensive strategies and feature enhancements.

  9. How likely are you to participate in beta testing programs?

    Rationale: Assesses enthusiasm for early access and innovation. Helps recruit testers and refine features.

  10. How likely are you to visit our online community forums?

    Rationale: Gauges engagement in peer support and knowledge sharing. Guides community management efforts.

Customer Satisfaction Likert Questions

These questions focus on customer satisfaction by asking respondents to rate service and product experiences. Use this set to identify satisfaction drivers and friction points in the customer journey. For targeted customer insights, explore our Customer Feedback Survey .

  1. The purchase process was straightforward.

    Rationale: Measures ease of transaction and checkout flow. Identifies steps needing simplification.

  2. The delivery time met my expectations.

    Rationale: Assesses fulfillment performance and reliability. Highlights logistics improvements.

  3. The product quality matches the description.

    Rationale: Gauges accuracy of marketing claims. Helps reduce returns and boost trust.

  4. The customer service representative was helpful.

    Rationale: Evaluates support professionalism and empathy. Informs training and staffing decisions.

  5. The issue I reported was resolved satisfactorily.

    Rationale: Measures effectiveness of problem resolution. Guides enhancements in support workflows.

  6. The refund process was clear and easy to follow.

    Rationale: Assesses fairness and transparency of policies. Helps improve trust in post-purchase support.

  7. The product packaging was sufficient for safe delivery.

    Rationale: Evaluates durability and protection during shipping. Identifies packaging upgrades.

  8. The post-purchase communication kept me informed.

    Rationale: Measures consistency of status updates. Helps refine automated notification systems.

  9. The pricing felt fair for the value received.

    Rationale: Assesses cost-perceived benefit balance. Informs promotional and pricing strategies.

  10. I feel satisfied with my overall experience.

    Rationale: Captures holistic satisfaction levels. Acts as a barometer for future loyalty and referrals.

FAQ

What are some examples of Likert scale questions?

Examples include questions like: "I find this survey template easy to use," "The free survey instructions were clear," "I would recommend these example questions." Each uses a 5- or 7-point Likert scale (Strongly Disagree to Strongly Agree). These example questions help gauge opinions in any Likert scale survey template.

How do I write effective Likert scale survey questions?

To write effective Likert scale survey questions in your survey template, follow these steps: define a single clear statement, use neutral wording, avoid double-barreled items, choose an appropriate free survey scale (5- or 7-point), and label each point consistently. These tips ensure valid, reliable responses for your survey template.

What is the difference between a 5-point and a 7-point Likert scale?

A 5-point Likert scale offers five response options (e.g., Strongly Disagree to Strongly Agree), while a 7-point scale adds two midpoints for greater nuance. In a survey template or free survey, a 7-point Likert scale can improve sensitivity but may increase respondent effort compared to a 5-point version.

How can I avoid bias when designing Likert scale questions?

To avoid bias in your Likert scale survey template, use balanced response options, craft neutral phrasing, randomize question order, and pilot test each question. Ensure no leading language and maintain consistent scales. These steps help your free survey yield objective feedback free of response bias.

When should I use a neutral option in a Likert scale?

When designing a Likert scale survey template, include a neutral option when you want respondents to express no opinion or remain undecided. Neutral midpoints in a free survey help distinguish between true indifference and forced choices. Avoid neutral options only if you need decisive feedback in example questions.

What are the best practices for labeling Likert scale response options?

Label Likert scale response options clearly by using full phrases (Strongly Agree, Agree, Neutral, Disagree, Strongly Disagree) in your survey template. Maintain consistent terminology across example questions, align anchoring points symmetrically, and avoid jargon. These best practices maximize clarity and reliability in free survey designs.

How do I interpret the results of a Likert scale survey?

To interpret Likert scale survey results, assign numerical values to response options (e.g., 1=Strongly Disagree to 5=Strongly Agree), calculate mean scores or response frequencies in your survey template, and visualize data with bar charts. Compare example questions across segments to identify trends. These analysis steps ensure actionable insights.

What are common pitfalls to avoid when using Likert scale questions?

Common pitfalls in Likert scale survey templates include ambiguous wording, double-barreled questions, unbalanced response options, and inconsistent labeling. Avoid forced extremes by providing a neutral point, and pre-test your example questions in a free survey to catch misunderstandings. These checks improve reliability and data quality.

How can I ensure my Likert scale questions are clear and concise?

Ensure clarity in your Likert scale survey template by writing concise, single-idea statements, using simple language, and avoiding technical jargon. Limit response options to the optimal range, label anchors clearly, and pilot your example questions in a free survey. Feedback-driven edits enhance comprehension and response accuracy.

What is the optimal number of response options for a Likert scale?

Generally, 5- or 7-point response options are optimal for Likert scale survey templates. A 5-point scale balances simplicity and reliability, while a 7-point scale offers additional nuance. Select based on respondent experience and survey length in your free survey. Consistency across example questions ensures valid comparisons.