From niche C-Suite executive recruitment to large-scale multi-country quantitative surveys, our AI-powered global fieldwork operations deliver verified, analysis-ready datasets. Browse 20 documented project results across 12 industries below.
Challenge: A global telecoms equipment provider required 5G adoption intent and deployment barrier data from 900 IT and Telecom decision makers across US, UK, Germany, Japan, South Korea, and Australia. LinkedIn-verified seniority required for all respondents.
Challenge: An APAC retail bank required rapid survey data from 4,000 active mobile banking app users to evaluate security trust. The survey was highly targeted by automated click-farms and survey bots attempting to bypass standard geofencing and capture incentives.
Challenge: A Tier 1 retail bank required a multi-market NPS and CX benchmark study across India, Singapore, Australia, Malaysia, Indonesia, Philippines, and Thailand. 500 banking customers per market. 10-business-day hard deadline for board presentation.
Challenge: A consumer goods company required a rolling 6-month brand equity tracker across US, UK, Germany, and Australia. 4 quarterly waves of 500 consumers per market. Consistent sample sourcing and questionnaire methodology across waves required.
Challenge: A leading medical device company required matched cardiologist and patient samples across 5 markets to compare HCP perception of a new cardiac monitoring device with patient experience. Dual recruitment pipeline with strict specialty verification.
Challenge: A global strategy consulting firm required 1,200 verified IT budget holders — CIOs, CISOs, and VP Infrastructure — across US, UK, Germany, France, Japan, Australia, Singapore, and Canada for a cloud infrastructure decision study. Standard panels rejected due to high incidence of unverified profiles. 14-day hard deadline.
Challenge: A public sector consultancy required citizen satisfaction measurement for municipal transport, waste management, and public health services across UK, Canada, and Australia. 2,000 citizens per country. Mixed methodology: CAWI and CATI for non-digital populations.
Challenge: A global cloud technology provider needed 800 verified CTOs and VPs of Infrastructure across US, UK, Germany, Singapore, Australia, and India to map cloud migration intent, preferred platforms (GCP, AWS, Azure), and decision timelines. Panel quotas required company revenue segmentation above $50M.
Challenge: A premium automotive OEM required post-purchase dealer experience measurement across US, UK, Germany, UAE, and Japan. CATI methodology specified to capture recent buyers within 90 days of vehicle collection. Net Promoter Score + key driver analysis required.
Challenge: An enterprise software firm needed 1,800 active developers and DevOps leads segmented by programming language (Python, Go, Rust), cloud platform (AWS, GCP, Azure), and DevOps toolchain across UK, US, Germany, India, and Australia. Active code contribution required as a qualification criterion.
Challenge: An EdTech platform required a dual-audience U&A study covering both educators and students across India, Australia, Singapore, and Philippines. 300 teachers + 300 students per market. Separate questionnaire versions with shared benchmark questions for comparison.
Challenge: A global automotive OEM required EV vs ICE purchase intent mapping across US, UK, Germany, France, China, Japan, Australia, and India. 500 car buyers per market with a vehicle purchase planned within 24 months. Conjoint analysis required to quantify EV feature preference trade-offs.
Challenge: A global fintech platform needed adoption intent data from 600 CFOs and Finance Directors at SMEs (50–500 employees) across UK, Germany, France, Netherlands, Sweden, and UAE. Mixed methodology combining quantitative survey and 20 qualitative IDIs.
Challenge: A global FMCG brand required a concept screening study for 4 new product variants across 12 markets: US, UK, France, Germany, Italy, Brazil, Mexico, India, China, Japan, Australia, and South Africa. Choice-based conjoint (CBC) design with 400 completes per market.
Challenge: A multinational biopharmaceutical company needed to recruit rare autoimmune disease patients for a drug efficacy feasibility study. The incidence rate was extremely low (less than 0.25%), requiring validated doctor referrals and medical records matching.
Challenge: A global industrial components supplier required procurement decision-making data from 500 procurement heads and supply chain directors across US, Germany, Japan, and India. Mixed methodology: 440 CATI interviews + 60 IDIs with senior procurement leads.
Challenge: A pharmaceutical research team required 450 verified oncology specialists and patient cohorts with confirmed rare disease diagnoses across US, UK, Germany, France, and Japan. Regulatory-grade verification required. HIPAA compliance mandatory.
Challenge: A regional e-commerce platform required optimal price point data for a subscription tier relaunch across Singapore, Malaysia, Thailand, and Indonesia. Van Westendorp PSM and Gabor-Granger price laddering methodology specified.
Challenge: A European utility company required consumer perception data on renewable energy offerings across Germany, France, Netherlands, and Sweden. 500 household utility customers per market. Willingness to pay a green premium and solar/wind intent required.
Challenge: A major retail brand wanted to segment consumer journeys across brick-and-mortar and digital storefronts to optimize ad spend. Tracking seamless transitions between mobile apps and physical store geolocations was difficult to capture accurately.
Challenge: A major retail chain required a path-to-purchase study mapping online and in-store shopper journeys across UK, US, Germany, Australia, and UAE. Respondents required to have made a purchase in the category within the prior 30 days.
Challenge: A global streaming platform required content preference and subscription value data from 3,500 active subscribers across US, UK, Germany, Brazil, and India. Conjoint analysis to quantify willingness to pay for content tiers and features.
Challenge: A Tier 1 telecom operator required a churn prediction study to identify the primary drivers of customer switching across UK, Australia, India, and UAE. 800 consumers per market, including a 30% churn-at-risk sub-segment.
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