
100%
Real time verification of all on-ground interactions
120 Mins
or less rapid validation and course correction
17+
Languages supported via IVRS, CATI, CAWI, and CAPI
100%
Self-recruited respondents (vs 15% industry norm)
2500+
Veteran-led on-ground research partners across regions
20+
Algorithm based data quality checks including Geo-tagging
How We
Make It Work
We combine sharp research design, local networks, and tech-enabled tools to deliver insights grounded in real-world consumer behaviour. Every project is built for action, supported by trusted market research methods and accurate data collection in research.
Tech & tools that power every project
In-house tech stack and dashboards track primary data collection methods and field performance in real time.
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GPS tracking and geo-fencing to capture respondent locations
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Validation reports that flag errors instantly for accurate data validation
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Audio and video recording for deep-dive response analysis
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Algorithm-based fraud detection in research to ensure clean data
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Time-stamped audit logs for total transparency

Integrating Smarter
Processes
Our Research Partners (RPs) are supported by smart systems that drive consistency, compliance, and efficient data collection techniques. We use:
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Performance scoring for speed and research quality control
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Gamified incentives to motivate quality
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Real-time load balancing for faster delivery

Real People.
Real Responses.
Authentic insights begin with authentic respondents. We use a mix of tools to validate identities and strengthen data collection through:
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Biometric voice/image authentication
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Device fingerprinting to detect duplication
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Behavioural analytics to flag irregular patterns
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Stratified and algorithm-driven sampling
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100% self-recruited respondent base

From Raw Data
to Real Decisions
We don’t just gather responses, we apply data analysis in research to transform them into clear, usable insight through:
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Predictive analytics and trend forecasting
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Automated outlier detection
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Real-time dashboards and alerts customised to your project

