Sample survey templates

Measures public familiarity with kangaroos, perceptions of their characteristics, attitudes toward kangaroo conservation, and behavioral intentions. Suitable for wildlife researchers, conservation organizations, or educational program evaluators.

Measures leisure travelers' trip frequency, destination decision drivers, transportation preferences, satisfaction, and likelihood to recommend — providing actionable segmentation and experience insights for travel brands, tourism boards, or academic research.

A structured instrument for collecting student feedback on course satisfaction, instructional effectiveness, and learning outcomes. Designed for end-of-term deployment to support data-driven course improvement.

A structured concept testing instrument designed to measure perceived innovation, quality, purchase intent, and feature priorities for a new product among target consumers prior to market launch.

Identifies churn drivers among at-risk subscribers and tests the persuasiveness of specific retention offers, discounts, and feature commitments to inform cancel-flow strategy.

Measures attendee perceptions of sponsor value, interaction quality, and purchase intent at events. Designed for event organizers proving sponsorship ROI and qualifying leads by role, timeline, and budget signals.

Measures content findability, search satisfaction, navigation confidence, and filter effectiveness for recent site or app visitors. Designed for UX and information architecture teams seeking actionable data on how users locate and evaluate content.

Measures diners' experiences with allergen communication, cross-contact prevention, and staff responsiveness to identify gaps in restaurant food safety practices and strengthen guest trust.

A 5-minute diagnostic survey for existing customers to identify referral program awareness gaps, incentive misalignment, process friction, and trust barriers—providing actionable data to optimize referral conversion.

Measures resident perceptions of how micro-fulfillment delivery hubs affect traffic, noise, safety, jobs, and quality of life, providing evidence for local planning, zoning, and permitting decisions.

Collects structured feedback from active mobile app users on navigation ease, load performance, and gesture reliability to prioritize UX improvements.

Measures developer satisfaction, friction, and usability across ecommerce API integrations, documentation, SDKs, and webhooks. Designed for product and developer relations teams seeking to improve adoption and reduce support load.

Measures consumer trust, adoption intent, and incentive preferences for retailer-run recommerce, trade-in, and certified pre-owned programs to inform program design, pricing, and marketing strategy.

Measures air-traveler trust, comfort, and privacy concerns with biometric boarding and ID verification across airport touchpoints. Designed for airlines, airport authorities, and aviation-technology researchers.

Measures consumer trust in voice assistant wake word systems, privacy concerns, and comfort with ambient listening. Designed for consumer research with voice assistant users.

Identifies why subscribers consider canceling and which retention offers, pricing incentives, or policy changes are most effective at preventing churn — designed for SaaS and subscription product teams seeking actionable retention insights.

Measures attendee engagement with event sponsors, lead quality signals, and perceived sponsor value to help event organizers and sponsors evaluate and optimize sponsorship ROI.

Measures ease of finding content, filter effectiveness, and result relevance across a site or app to diagnose UX friction and prioritize improvements that lift task completion and satisfaction.

Measures diners' confidence in restaurant allergen communication, cross-contact prevention, and safety practices. Designed for consumers who manage food allergies or dine with someone who does.

Diagnoses referral drop-off by measuring awareness, incentive appeal, and process friction among current and former customers to identify the highest-impact improvements for program conversion.

Measures customer understanding, consent preferences, control expectations, and institutional trust around open banking data sharing. Designed for banks, fintechs, and UX researchers studying data-sharing experiences.

Measures how nearby micro-fulfillment center operations affect residents' quality of life, local environment, and policy preferences. Designed for city planners and community boards seeking structured resident input to guide zoning and operational decisions.

Evaluates user perceptions of mobile app navigation, gesture interactions, speed, and stability to identify priority areas for UX improvement. Designed for active and lapsed app users across iOS and Android.

Captures developer feedback on API documentation, SDK setup, and integration friction to identify pain points and prioritize developer experience improvements.

Measures shopper awareness, behavioral intent, and preferences for retailer-led circular programs—including trade-ins, take-back, repair, and refurbished resale—to inform program design and go-to-market strategy.

Measures air travelers' willingness, trust, comfort, and privacy preferences regarding biometric identification at airports. Use this instrument to benchmark passenger sentiment across airline, airport, and technology stakeholders.

Captures developer feedback on API, SDK, and documentation experiences to identify friction points, measure satisfaction, and prioritize improvements post-onboarding or post-release.

Measures consumer awareness, purchase likelihood, barriers, and feature preferences for retailer take-back, buyback, and recommerce programs to validate demand and inform program design.

Measures air traveler comfort, trust, and privacy expectations around facial recognition and fingerprint verification at airports. Designed for airlines, airports, and travel-tech firms researching passenger acceptance of biometric boarding systems.

Evaluates developer experiences with Retrieval-Augmented Generation systems across retrieval quality, grounding accuracy, evaluation practices, and infrastructure. Designed for ML engineers, backend engineers, and data scientists actively building or maintaining RAG pipelines.

Measures developer perceptions of API rate-limit fairness, documentation clarity, productivity impact, and coping strategies. Designed for API product teams and developer-experience researchers seeking actionable data to improve throttling policies and pricing tiers.

Measures customer satisfaction with refund policies, processing speed, communication, and perceived effort. Designed for consumer research teams seeking to identify friction points and prioritize improvements in return and refund workflows.

Measures patient satisfaction with a recent healthcare visit across three domains—wait times, appointment access, and clinician counseling quality. Suitable for clinics, hospitals, and health systems seeking actionable feedback to improve the patient experience.