Sample Templates

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.