Industry-specific survey templates

Evaluates the full moving experience — quote accuracy, how carefully the crew handled belongings, on-time performance, and how damage or loss was resolved — for moving and relocation companies. An AI follow-up digs into what actually happened during the move that a rating alone can't capture.

For wedding planners, venues, and vendors who want a clear read on how couples experienced their service — from first planning email to the last dance. Covers planning support, day-of execution, communication, and value for money, with an AI follow-up that pulls out the specific moment behind a couple's rating instead of a vague impression.

Measures how clients experienced your firm across communication clarity, responsiveness, billing transparency, and case outcome perception. Built for law firms and legal ops teams doing post-matter or annual relationship check-ins, with an AI follow-up that digs into the gap between what clients expected and what actually happened — especially around outcomes and any billing surprises.

Measures how well contractors, plumbers, and cleaners deliver on quote accuracy, punctuality, workmanship, and trust after a completed job. Built for home service businesses tracking repeat-hire risk, with an AI follow-up that digs into the specific moment trust was won or lost rather than a generic satisfaction score.

Captures how buyers and sellers rate their agent on responsiveness, market knowledge, and negotiation, plus how likely they are to refer or reuse them. An AI follow-up reconstructs what actually happened during the negotiation and closing process, surfacing the specific moments that drove satisfaction or frustration.

Measures how confident parents feel about their child's safety, how well the center communicates day-to-day, how warm staff feel toward kids, and whether developmental activities feel age-appropriate. An AI follow-up digs into the specific incident or gap behind any low safety or communication score, surfacing details a rating alone would miss.

Captures how easy it was to book, how clients rate the service and atmosphere, whether pricing felt fair, and how likely they are to return — with an AI follow-up that digs into the real reason behind low rebooking or pricing scores instead of leaving it as a number.

Tracks how members rate equipment, cleanliness, classes, and staff, and flags who's at risk of canceling. An AI follow-up digs into the specific moment or friction point behind low renewal intent, giving retention teams a reason to act on instead of just a number.

Measures how customers experience estimate transparency, timeliness, and work quality at your service department or repair shop, and how those add up to trust. An AI follow-up digs into the specific moment — often around cost or communication — where trust was won or lost.

Measures site visitors' ability to complete tasks, evaluates navigation ease, content clarity, visual design, and load speed, and identifies specific usability barriers. Suitable for intercept or post-visit deployment on any website.

Measures guest satisfaction across the full hotel journey—from booking through post-stay—to identify friction points, evaluate perceived value, and predict rebooking likelihood.

Measures passenger satisfaction with airline handling of flight delays, cancellations, and rebooking disruptions, covering communication quality, outcome fairness, compensation adequacy, and future loyalty intent.

Measures how digital tip prompt design—including defaults and suggested amounts—shapes perceived fairness, social pressure, and tipping behavior in hospitality contexts. Ideal for UX researchers and hospitality operators seeking evidence-based prompt optimization.

Evaluates trial users' satisfaction with maintenance response, platform communication, and property listing accuracy to inform conversion strategy and product improvements.

Measures travelers' price sensitivity for lower-emission transport and eco-certified lodging, identifies key booking trade-offs, and uncovers the attitudinal drivers behind sustainable travel choices.

Measures viewer tolerance for ad load, preferred ad formats, and willingness to trade subscription cost for ad exposure across streaming/CTV/OTT platforms. Designed for media researchers and ad-supported streaming product teams.

Measures guest trust across listing accuracy, review credibility, host communication, and booking confidence to identify drivers and barriers. Designed for STR platform teams and hospitality researchers targeting recent guests.

Measures digital shelf performance across product findability, visual attention drivers, and packaging message clarity to identify actionable improvements for online visibility and conversion optimization.

Measures on-shelf findability, visual distinctiveness, and claim clarity of CPG packaging using a simulated shelf scenario. Designed for shopper panels to produce actionable pack-design diagnostics.

Measures guest perceptions of fee transparency, fairness, and trust impact across hotel and resort stays. Use this instrument to identify disclosure gaps and benchmark fee communication practices.

Measures renewal intent, experience satisfaction, value drivers, price sensitivity, and barriers to renewal among current season ticket holders to inform retention strategy.

Measures rider perceptions of safety, trust, incident prevalence, and feature priorities across ride-hailing platforms. Designed for CX and product teams seeking actionable insights to improve rider retention and safety outcomes.

Measures customer satisfaction across each stage of the returns process — pickup, inspection, refund, and communication — to identify friction points and prioritize CX improvements. Includes NPS benchmarking.

Measures customer satisfaction with return, refund, and exchange processes. Identifies specific friction points and captures qualitative feedback to guide operational improvements and reduce return-related churn.

Measures omnichannel shopping ease, issue recovery effectiveness, and security-measure friction for retail customers who shopped in the last 30 days. Includes NPS benchmarking and qualitative follow-up.

Measures buyer and seller trust, purchase intent, channel preferences, and barriers in secondhand and refurbished goods markets. Designed for consumer research teams seeking to understand drivers and friction points across resale platforms.

Measures tenant perceptions of rent increase notice clarity, fairness, and transparency. Designed for property managers and housing researchers seeking actionable feedback on communication practices.

Measures shopper perceptions of fairness across virtual queues and hold experiences in retail, capturing wait context, fairness judgments, policy preferences, behavioral responses, and trust impact to identify CX improvement opportunities.

Measures diner experiences with QR code menus across usability, accessibility, and format preferences to inform restaurant digital menu strategy. Designed for adult diners who have encountered QR code menus in the past 3 months.

Measures adoption patterns, perceived ROI, and barriers for precision agriculture technologies (sensors, drones, smart irrigation) among farm operators and managers to guide agtech investment decisions.

Measures drivers' ease-of-use perceptions of parking apps, trust in local parking enforcement, and priorities for product improvement. Ideal for municipal transport teams and parking app product managers seeking actionable UX and compliance insights.

Measures caregivers' experiences configuring, enforcing, and communicating about digital parental controls across devices and platforms, with a focus on setup friction, bypass behavior, and child-facing transparency.

Evaluates shelf findability, claim clarity, believability, and visual standout of CPG/FMCG packaging designs. Use with packaging concepts or mock-ups to generate optimization insights before launch.

Measures which editorial, platform, and social cues drive audience trust in news sources across channels. Designed for media researchers, newsrooms, and platform teams seeking to benchmark perceived credibility and identify the trust signals that matter most.

Evaluates retail store managers' organizational readiness, strategic goals, and design preferences for launching or refining a mystery shopping program. Designed for pre-program scoping with leadership stakeholders.

Evaluates mobile subscribers' network connectivity, call quality, app performance, and overall carrier satisfaction using NPS and multi-dimensional quality ratings. Suitable for telecom providers, market researchers, and UX teams benchmarking mobile experience.

Measures safety climate perceptions, incident/near-miss reporting behaviors, and barriers to reporting among mine-site personnel. Designed to identify risk gaps and prioritize safety-culture interventions across shifts, roles, and work environments.

Measures seller confidence in marketplace policies, dispute resolution, and earnings transparency to identify friction points and prioritize improvements that drive seller retention.

Measures gamer perceptions of fairness, odds transparency, and regulatory preferences for loot box and gacha mechanics. Designed for game developers, researchers, and policy analysts seeking evidence-based insights into randomized monetization systems.

Measures consumer trust perceptions, behavioral engagement, and purchase intent for livestream/social commerce shopping. Designed for market researchers studying adoption drivers and barriers across platforms.

Measures how homeowners plan renovation projects, select service providers, and make payment and financing decisions. Designed for market researchers seeking insights into budgets, payment method preferences, and financing feature priorities among homeowners.

Measures resident satisfaction with HOA board governance, communication effectiveness, and dues value perception. Designed for HOA boards and community managers seeking actionable feedback to strengthen trust and service delivery.

Measures homeowner perceptions of clarity, fairness, transparency, and timeliness in HOA architectural review (ARC) processes. Designed for HOA boards, management companies, and community associations seeking actionable improvement data.

Measures customer perceptions of grocery delivery substitution fairness, communication preferences, and compensation expectations. Designed for grocery delivery services seeking to optimize substitution policies and improve customer satisfaction.

Measures consumer trust, perceived quality, and contextual acceptance of AI-generated ads. Designed for advertising researchers and brand strategists evaluating disclosure norms, comfort thresholds, and creative-format preferences.

Measures user satisfaction, perceived difficulty curve, motivational hooks, and churn triggers for in-app gamified features. Designed for product and UX teams seeking actionable insights to optimize engagement and reduce drop-off.

Measures customer experience across the online quote request, checkout/billing, and post-purchase workflow journey. Designed for e-commerce teams seeking to identify friction points and prioritize improvements that boost satisfaction and conversion.

Measures consumer demand for food origin information, trust in traceability sources, barriers to engagement, and willingness to pay for verified supply chain transparency. Designed for food brands, retailers, and supply chain organizations seeking to quantify the business case for traceability investments.

Measures how sports fans engage with digital content, in-venue technology, team apps, and loyalty programs to identify key drivers of satisfaction and retention.

Measures attendee satisfaction, engagement, and experience quality across venue, broadcast, and activities at gaming and esports events to identify improvement priorities for future events.