Quality controls
Evaluate traffic before survey entry and assess response quality during or after fieldwork.
Learn moreRepData for brands and researchers
Build research your stakeholders can trust, from audience feasibility and respondent quality to methods, analysis, and reporting. Start with the part of the workflow that needs attention.
Quality confidence across the study
Explore the capabilities that fit your team's priorities and workflow.
Audience and feasibility
Plan sample around the people, market, and qualifications your study needs.
Learn moreMethods for the question
Use advanced methodologies including MaxDiff, conjoint, TURF, and pricing methods.
Explore methodologiesInsights and reporting
Analyze results with cross-tabs, weighting, significance testing, text analysis, and RepData AI summaries.
Learn moreRun the work yourself, with support where it helps
Design the study, reach an audience, field, and analyze in the Research Platform. Build a questionnaire with the control experienced researchers need, bring your own audience or plan sourcing, and use advanced methods without splitting the work across separate tools.
Review cross-tabs, weighting, significance, text and sentiment analysis, and reporting in the platform. RepData AI can analyze open ends, surface drivers, and create executive summaries. Expert support remains available for complex programming, methodology, or execution.
Explore the connected workflowRESEARCH PLATFORM USE CASES
Concept Testing
monadicBrand Tracking
NPS wavesPricing Strategy
Van WestendorpContent Research
engagementCustomer Experience
journey CXProduct Development
conjointLoading study types…
Depth when the decision calls for it
Choose among MaxDiff, conjoint, TURF, Van Westendorp, Gabor-Granger, key driver analysis, and text and sentiment analysis. For a demanding study, research design and specialist interpretation can be part of the services discussion.
MAXDIFF RESULT
MaxDiffConjointTURFVan WestendorpGabor-GrangerKey Driver
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Built in, no separate analysis tool or specialist required
Academic research, with university realities in view
Plan around grant budgets, fielding windows, and the need to explain data integrity. University teams can discuss nationally representative U.S. sample, pre-built quota options, and an IRB-compliant research environment.
The self-directed path supports survey-link fielding and quota planning. When a design becomes more complex or needs a specialist audience, RepData's research team can help with sample design and project scope.
For university teams
Plan U.S. quotas around the study
Keep fraud prevention in view during fielding
Bring in expert help for complex sample needs
Make budget and timing part of the feasibility conversation
A practical path from need to insight
The steps vary by audience, but clear requirements connect sourcing, fieldwork, quality, and delivery.
Frame the decision
Set the research question, audience, method, and desired outcome.
Plan and source
Discuss feasibility and select the sample workflow that fits the audience.
Field with quality
Run the study with relevant pre-survey and in-survey checks.
Analyze and report
Explore results, methods, and reporting in the research platform.
Stories from research teams
Explore the challenges, approaches, and reported outcomes across individual engagements.
Food & Beverage
Pabst
Pabst needed flexible research methods and reliable consumer feedback without the constraints and cost of its previous tools.
40+ Concepts evaluated in the published customer story
Read the storyEducation & AssessmentPearson
Needed highly specific English test takers in targeted regions across India, with zero tolerance for fraudulent participants or bots.
24/7 Global support
Read the storyDigital MediaVox Media
Publicly published research cited by millions demanded bulletproof data quality. Any error would damage the reputation of major editorial properties.
4,000+ Quality respondents delivered
Read the storyFor brands and researchers questions
Can we run research ourselves?
Yes. The platform supports self-directed research workflows, with expert help available for requirements that need it.
Can RepData help with brand tracking?
Research Services can discuss recurring project needs and quality workflows. Published Media1 results relate specifically to the Stiegl brand tracking study.
Is academic research supported?
University teams can discuss nationally representative U.S. sample, quota planning, quality controls, and expert help for complex studies.
Talk with a research partner
Describe what you need to learn, who you need to reach, and how your team works today.
