Rep Data’s Research Platform, powered by SightX, brings survey programming, sample, fieldwork, quality controls and analysis together in one platform. It supports a range of research applications and advanced methodologies, with AI-assisted tools for analysis and reporting.

Key Capabilities

• Advanced Research Methods: Run methodologies including MaxDiff, conjoint, TURF, Van Westendorp, Gabor-Granger and key driver analysis.
• Integrated Research Workflow: Design, program, field and analyse studies within a connected platform.
• Rep Data AI: Use AI-assisted tools to analyse open-ended responses, identify key drivers and create summaries of research findings.
• Analytics & Reporting: Access cross-tabulation, weighting, significance testing, text and sentiment analysis, visualisation and reporting tools.
• Built-In Quality: Connect with Rep Data’s pre-survey fraud prevention and in-survey data cleaning tools to support data quality throughout fieldwork.
• Flexible Research Applications: Support studies including concept testing, brand tracking, pricing, content research, customer experience and product development.

How It Works

1. Build your survey using standard question types, advanced methods, logic and randomization.
2. Launch with sample sourcing and Rep Data’s quality tools connected to the research workflow.
3. Analyse results using built-in analytics and use Rep Data AI to support interpretation and reporting.

Use Cases

• Concept Testing — evaluate and compare new concepts with target audiences.
• Brand Tracking — monitor brand health and customer perceptions over time.
• Pricing Research — explore price sensitivity and willingness to pay.
• Content Research — evaluate messaging and content with target audiences.
• Customer Experience — understand customer experiences and identify key drivers.
• Product Development — test features, preferences and product propositions.
• Advanced Quantitative Research — run studies using specialist research methodologies.

The Research Platform can be used as a standalone research environment or alongside Rep Data’s wider sample sourcing and data quality services.