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Free Recommendation Survey

50+ Expert Crafted Recommendation Survey Questions

Surveys > Feedback

Unlock the power of word-of-mouth by measuring Recommendation with targeted recommendation survey questions that reveal your customers' willingness to recommend and drive real growth. A recommendation survey delivers "would you recommend" or "would you recommend to a friend" questions that quantify satisfaction and spot unhappy users before they churn. Grab your free template loaded with example questions - or customize your own in our online form builder.

Please describe the product or service you are reviewing.
Please rate your overall satisfaction with the product/service.
1
2
3
4
5
Very dissatisfiedVery satisfied
How likely are you to recommend this product/service to others?
1
2
3
4
5
Not at all likelyExtremely likely
What factors influenced your likelihood to recommend?
Quality
Price
Customer Service
Features
Other
What could we do to improve your experience or the product/service?
What is your age range?
Under 18
18-24
25-34
35-44
45-54
55-64
65 or older
What is your gender?
Male
Female
Non-binary
Prefer not to say
How did you hear about our product/service?
Search engine
Social media
Friend or family
Advertisement
Other
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Top Secrets to Crafting a Recommendation Survey That Drives Action

A Recommendation survey is your shortcut to understanding who will champion your brand and who won't. It measures the crucial "would you recommend survey question" that many teams use to drive improvement. You collect real feedback on that question to identify promoters and detractors. This simple step can transform casual buyers into loyal advocates and gives you clear data to act on.

Keep your survey tight, focusing on one clear goal per question. As Demystifying Survey Research shows, clarity and simplicity prevent confusion and boost completion. Avoid jargon and double-barreled items by asking exactly one thing at a time. Test each question in a quick pilot to catch hidden snags before you go live.

Good question examples include "What do you value most about our service?" and "How likely are you to recommend us to a friend?". These openers invite honest, actionable answers. Pair them with a scale item like "On a scale of 0 - 10, how likely are you to recommend us?" to quantify sentiment. Combining open and scaled items creates a balanced touch.

Imagine a SaaS startup running a mini poll with 20 customers. They added their key "would you recommend survey question" to a short form and saw a 15% bump in response rate after refining wording. This real-world tweak shows why pretesting pays off. You'll save time by spotting confusing phrases before you launch at scale.

Timing matters. Send your Recommendation survey soon after a purchase or support call to capture fresh impressions. Prioritize mobile-friendly layouts, and consider one reminder for non-responders. Small tweaks in scheduling can lift response by 10 - 15%.

Customize your scale labels to reflect your audience's language. Instead of generic "1 to 5," use "Not at all likely" to "Extremely likely" so respondents know exactly what each point means. This tweak boosts reliability and respondent confidence. Always align labels with your brand voice.

Pair your Recommendation survey with a Customer Feedback Survey to explore pain points behind the score. A study in Online Survey Design and Development found that intuitive survey layouts can boost completion by 20%. Use branching logic to dive deeper on low scores and surface the "why." With clarity, timing, and testing, your surveys will deliver fast, actionable insights.

Illustration showcasing the process of crafting effective recidivism survey questions.
Decoding Recidivism: Illustration highlighting the relevance of survey questions in Recidivism studies.

5 Must-Know Tips to Avoid Recommendation Survey Pitfalls

Recommendation survey mistakes can sink your response rates faster than you think. By steering clear of common traps, you'll keep respondents engaged from first click to final submit. Read on to sharpen your questions and streamline your process.

One common trap is double-barreled questions that ask two things at once. According to the Best Practices in Survey Design Checklist, each item should measure a single concept. Mixing ideas leads to vague feedback and skewed data. Keep each question laser-focused to get reliable answers.

Skipping pilot testing is another often-overlooked misstep. As highlighted in Asking Good Survey Questions, a small focus group catches ambiguous wording before full launch. A retail chain skipped pretesting only to find half of respondents misread "Would you recommend our service to a colleague?" A quick test would have saved time and improved clarity.

Bombarding people with long, open-ended prompts can trigger survey fatigue. Limit your free-text fields and mix in scaled items like "How would you rate your likelihood to recommend us?" to keep it breezy. This simple shift can lift completion rates by up to 30%. Always balance depth with brevity.

Ignoring mobile optimization is another danger. Over 60% of users open surveys on their phones, so test layouts on small screens. Tiny buttons or horizontal scales often break on mobile. Fixing these issues before launch prevents frustrated drop-offs.

Skipping follow-up reminders can leave valuable insights on the table. A gentle reminder sent a week later can boost responses by 10 - 12%. Keep your message short and polite - thank them for their time and offer to share results if they'd like. Timing and tone matter.

Practical tip: cap your Recommendation survey at ten questions and test it on mobile before you publish. Our Rating Survey guide shows how a clean scale reduces confusion. Always include a clear thank-you message at the end to leave a positive final impression. Avoid complexity, and you'll keep respondents engaged until the last click.

Recommendation Survey Questions

This set of Rating Survey questions focuses on measuring overall recommendation intent with NPS-style scales. It helps identify brand promoters and detractors for targeted engagement. Use these to benchmark customer loyalty and refine your offering.

  1. How likely are you to recommend our brand to a colleague on a scale from 0 (not at all) to 10 (extremely)?

    This classic NPS-style question provides a clear metric for overall brand advocacy and loyalty. It helps identify promoters and detractors for targeted engagement strategies.

  2. On a scale of 0 to 10, how likely are you to recommend our product to friends or family?

    This direct scale question assesses personal endorsement likelihood. It informs product improvement and marketing focus by highlighting strong advocates.

  3. Compared to other brands you use, how likely are you to suggest our service to others?

    This comparative question reveals competitive positioning and relative strength. Responses guide differentiation and highlight areas for competitive advantage.

  4. How likely are you to recommend our company based on your most recent interaction?

    This question links recent experiences to advocacy levels. It guides service improvement by pinpointing touchpoints that impact recommendations.

  5. How likely would you be to endorse our business on social media platforms?

    This question captures online advocacy potential and social reach. It helps plan social campaigns by identifying enthusiastic brand advocates.

  6. How likely are you to recommend our latest feature release to a peer?

    This feature-specific question measures interest and satisfaction in new offerings. It provides feedback on product development and rollout success.

  7. How likely would you be to promote our company after participating in our loyalty program?

    This question evaluates the effectiveness of loyalty incentives. It reveals whether rewards drive advocacy and repeat engagement.

  8. How likely are you to recommend renewing your subscription to colleagues or friends?

    This question links subscription satisfaction with referral intent. It signals retention risks and opportunities for upselling.

  9. How likely is it that you'd suggest our platform to someone in your professional network?

    This question targets professional referrals and credibility. It helps assess platform value in a B2B context and drives networking strategies.

  10. How likely would you recommend our customer support to others who need assistance?

    This question focuses on service quality as a driver of recommendations. It helps improve support processes by highlighting customer perceptions.

Willingness to Recommend Survey Questions

These questions assess willingness to refer by probing motivation and confidence in a Customer Feedback Survey style. They gauge advocacy levels and emotional buy-in. The result informs strategies to boost referrals and engagement.

  1. To what extent do you feel willing to recommend our service to a friend?

    This question measures genuine referral intent and emotional buy-in. It highlights how committed customers are to spreading positive word-of-mouth.

  2. How willing are you to recommend our support team after your recent inquiry?

    This question assesses confidence in your support capabilities. It guides training and process improvements by spotlighting areas that affect willingness.

  3. How willing would you be to recommend our product to someone looking for similar solutions?

    This question gauges perceived product fit and relevance. It informs targeting and messaging by revealing customer perceptions of solution compatibility.

  4. How willing are you to recommend our pricing plans to budget-conscious peers?

    This question explores value perception and cost-effectiveness. It provides insight into pricing strategy and perceived affordability.

  5. How willing would you be to recommend our company culture to potential hires?

    This question assesses employer branding advocacy. It supports recruitment by identifying ambassadorial customers or employees.

  6. How willing are you to recommend our website for ease of finding information?

    This question measures website usability and navigation satisfaction. It directs UX improvements to enhance engagement and referrals.

  7. How willing would you be to recommend our mobile app to fellow users?

    This question focuses on app experience and performance. It helps prioritize mobile features that drive peer recommendations.

  8. How willing are you to recommend our loyalty program to newcomers?

    This question evaluates the attractiveness of rewards and membership benefits. It guides loyalty program enhancements and promotional strategies.

  9. How willing would you be to recommend our onboarding process to new customers?

    This question reveals satisfaction with initial setup and guidance. It drives improvements that enhance early customer experience and referrals.

  10. How willing are you to recommend our updates and releases to other industry professionals?

    This question measures excitement about continuous improvements. It informs release communication strategies to maximize advocacy.

Would You Recommend to a Friend Survey Questions

Use these direct queries in a Referral Survey to understand whether customers would recommend your offerings to someone they know. They capture straightforward endorsement data without complexity. Insights reveal how word-of-mouth influences your growth.

  1. Would you recommend our product to a friend?

    This straightforward question captures pure endorsement intent. It's a simple gauge of product satisfaction and advocacy potential.

  2. Would you recommend our customer service to someone you know?

    This question directly assesses trust and satisfaction with support. It helps identify strengths and weaknesses in customer interactions.

  3. Would you recommend our platform to your social circle?

    This question evaluates general platform appeal and usability. It informs broader marketing strategies for community building.

  4. Would you recommend our loyalty benefits to friends or family?

    This question measures perceived value of reward programs. It guides enhancements to increase participation and referrals.

  5. Would you recommend our upgrade options to other users?

    This question assesses the attractiveness of premium features. It informs pricing and package offerings for better conversion.

  6. Would you recommend our educational resources to peers?

    This question gauges content quality and usefulness. It helps refine resource offerings to support customer success.

  7. Would you recommend our mobile interface to a friend?

    This question focuses on mobile design and user experience. It directs app development priorities based on user advocacy.

  8. Would you recommend our community forum to someone seeking advice?

    This question measures community value and engagement. It guides community management and content strategies.

  9. Would you recommend our analytics tools to colleagues?

    This question assesses functionality and insight value. It informs tool enhancements and feature roadmaps.

  10. Would you recommend our referral program based on your experience?

    This question evaluates program effectiveness and ease of use. It supports optimization of referral incentives and workflows.

Service Recommendation Survey Questions

This selection targets service-specific recommendations within your Service Survey . It explores satisfaction with support, delivery, and interactions. Use responses to enhance service quality and customer experience.

  1. How likely are you to recommend our support hotline to someone in need?

    This question targets immediate support satisfaction. It provides feedback on phone and live support effectiveness.

  2. How likely would you recommend our online chat service to a colleague?

    This question assesses real-time assistance quality. It helps refine chat responsiveness and professionalism.

  3. How likely are you to recommend our in-person consultation services?

    This question measures face-to-face service delivery. It highlights strengths and training needs for service reps.

  4. How likely would you recommend our delivery service to a friend?

    This question captures logistics and timeliness satisfaction. It informs improvements in shipping and fulfillment.

  5. How likely are you to recommend our warranty and repair services?

    This question assesses post-purchase support quality. It helps optimize after-sales service and trust.

  6. How likely would you recommend our maintenance plans to other users?

    This question focuses on ongoing service reliability. It guides service package development and communication.

  7. How likely are you to recommend our onboarding support to new customers?

    This question measures early-stage guidance effectiveness. It helps streamline onboarding for better retention.

  8. How likely would you recommend our troubleshooting guides to peers?

    This question assesses documentation clarity and usefulness. It informs improvements in self-service resources.

  9. How likely are you to recommend our account management team to colleagues?

    This question evaluates personalized service and relationship building. It helps strengthen account management processes.

  10. How likely would you recommend our 24/7 support option to friends?

    This question measures the value of round-the-clock availability. It guides decisions on extending service hours.

Product Recommendation Survey Questions

These product-focused recommendation questions are ideal for any Review Survey . They uncover advocacy drivers tied to features, usability, and value. Leverage insights to guide product development and marketing.

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

    This question provides a baseline measure of product advocacy. It helps track product satisfaction over time.

  2. How likely would you recommend our latest version to someone using an older model?

    This question assesses upgrade appeal and feature improvements. It guides decisions on future product iterations.

  3. How likely are you to recommend our product's design and durability to peers?

    This question captures perceptions of build quality and aesthetics. It informs design enhancements and marketing angles.

  4. How likely would you recommend our software's user interface to a colleague?

    This question focuses on usability and navigation satisfaction. It helps prioritize UI/UX development efforts.

  5. How likely are you to recommend our product's performance to tech-savvy users?

    This question measures technical performance and reliability perceptions. It guides performance optimizations and benchmarks.

  6. How likely would you recommend our product's pricing to value-driven customers?

    This question assesses perceived value for money. It informs pricing strategy and promotional planning.

  7. How likely are you to recommend our product's eco-friendly features to others?

    This question captures sustainability and environmental appeal. It helps communicate green credentials effectively.

  8. How likely would you recommend our accessory add-ons to product users?

    This question measures interest and satisfaction in supplementary items. It guides accessory development and bundling strategies.

  9. How likely are you to recommend our product's compatibility with other tools?

    This question assesses integration and interoperability value. It informs development of partnerships and APIs.

  10. How likely would you recommend our product warranty to friends?

    This question gauges trust in product support and assurances. It helps optimize warranty terms and customer peace of mind.

FAQ

How do I craft effective recommendation survey questions to gauge customer satisfaction?

To craft effective recommendation survey questions in your survey template, start by defining clear objectives. Use a standard 0 - 10 scale question for Net Promoter Score, add an open-ended follow-up for qualitative feedback, and test your example questions on a small group. This approach yields insights to gauge customer satisfaction accurately.

What is the best way to ask customers if they would recommend our product or service?

To ask recommendation in your survey template effectively, use a simple Net Promoter Score format: "On a scale of 0 - 10, how likely are you to recommend our product or service?" Pair it with a follow-up open-ended question for context. This free survey approach maximizes clarity and response quality.

Why is the "willingness to recommend" question important in customer feedback surveys?

The "willingness to recommend" question in a survey template serves as a key loyalty indicator. It correlates strongly with customer retention, referrals, and revenue growth. By measuring this metric, businesses can benchmark performance, prioritize improvements, and predict organic growth opportunities through actionable insights from a free survey framework.

How can I measure the likelihood of customers recommending our business to others?

Use a standardized 0 - 10 scale question in your survey template to measure recommendation likelihood. Calculate Net Promoter Score by subtracting detractor percentage (0 - 6) from promoter percentage (9 - 10). Analyze passives (7 - 8) separately for nuanced insights. This simple free survey method provides a clear likelihood metric and benchmarking tool.

What are some examples of recommendation survey questions that yield actionable insights?

Actionable recommendation survey example questions include: "On a scale of 0 - 10, how likely are you to recommend our service?", "What is the main reason for your score?", and "Which feature influenced your recommendation most?". Incorporate these into your survey template to capture quantitative and qualitative insights for targeted improvements.

How do I interpret responses to "would you recommend to a friend" survey questions?

Interpret "would you recommend to a friend" responses by categorizing answers: "Yes" indicates promoters ready to advocate, "Maybe" signals passives needing follow-up, and "No" identifies detractors requiring attention. Use this segmentation in your survey template to analyze overall satisfaction, prioritize support improvements, and tailor free survey follow-ups for opt-in marketing.

What strategies can I use to increase the response rate for recommendation surveys?

Boost recommendation survey response rates by keeping your survey template concise and mobile-friendly, offering incentives like discount codes, and personalizing invites. Send reminder emails after 3 - 5 days, leverage social proof in your free survey invite, and A/B test subject lines. These tactics increase engagement and deliver higher-quality feedback.

How do I analyze the results of a recommendation survey to improve customer loyalty?

Analyze recommendation survey results by calculating your Net Promoter Score, segmenting promoters, passives, and detractors in your survey template. Review open-ended feedback for common themes, prioritize action items, and implement service improvements. Monitor loyalty trends with periodic free survey cycles to track progress and strengthen customer relationships.

What is the difference between "would you recommend" and "how likely are you to recommend" survey questions?

"Would you recommend" is a binary question (Yes/No) offering quick sentiment in your survey template, while "How likely are you to recommend" uses a 0 - 10 scale for granular Net Promoter Score analysis. The scale question yields nuanced insights, example questions for trends, and allows benchmarking over a free survey cycle.

How can I use recommendation survey data to enhance my marketing strategies?

Use recommendation survey data from your survey template to fuel marketing strategies by highlighting promoter testimonials in campaigns, retargeting passives with tailored offers, and addressing detractor concerns in content. Segment audiences based on Net Promoter Score, create case studies from top responses, and optimize ad targeting with free survey insights.

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