Automated bidding and sourcing
Submit project requirements once to receive supplier bids through the connected workflow. Match audience needs with suitable sources using historical performance information.
From research question to insight, in one connected workflow.
Plan the study, source an audience or bring your own, field the survey, review quality, and explore results. Use self-service workflows or add expert support when the work calls for it.
RESEARCH PLATFORM USE CASES
Concept Testing
monadicBrand Tracking
NPS wavesPricing Strategy
Van WestendorpContent Research
engagementCustomer Experience
journey CXProduct Development
conjointLoading study types…
Design. Source. Field. Analyze. Report.
Keep research work connected from the first decision to the final readout. Each step informs the next without hiding the capabilities behind a product tour.
Design
Set the question, audience, method, and survey requirements.
Source
Plan sample access, feasibility, targeting, quotas, and budget.
Field
Build and launch the survey or bring an existing audience.
Evaluate
Use relevant quality controls at the right point in the study.
Analyze and report
Explore results with analytics, methods, and reporting tools.
Bring the study requirements into one view
Set the audience, targeting, quotas, quality thresholds, source blend, and budget. Keep the choices that shape fieldwork visible as sample is planned and managed.
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Feasibility before launch
Discuss the audience, market, qualifications, incidence, and timing. The project team can help clarify feasibility and suitable sourcing options before field begins.
Access a global network of integrated sources and coordinate the mix around audience needs and study requirements.
Explore global research planningNew
Feasibility & Pricing Tool
Plan your fieldwork with less guesswork
Compare your options before launch and during fieldwork. The Feasibility & Pricing Tool uses historical delivery data, standard qualifications, survey performance, and time in field to recommend a buy price and estimate delivery.
Forecast completes by budget and timeline
Adjust the buy price or out-of-field date to see how different scenarios affect estimated delivery.
Stay in control as fieldwork progresses
Update your buy price after reviewing the recommendation. Rerun the tool during fieldwork as your study progresses.
Example
Target 500
Keep sourcing and fieldwork decisions connected
Move beyond separate supplier emails and spreadsheets. Keep bidding, source performance, and quality review connected to the study.
Source performance in one view
Review source-level completion rates, quality scores, and delivery speed as fieldwork progresses. Use supplier scorecards to inform source selection and management.
Quality during fieldwork
Keep pre-survey fraud prevention and response evaluation connected to sourcing decisions, rather than waiting until field closes to discover quality issues.
Choose the method that answers the question
Go beyond standard question types with methods available in the platform. For advanced study design and specialist interpretation, Research Services can work alongside the platform.
MaxDiffConjointTURFVan WestendorpGabor-GrangerKey DriverText analysisSentiment analysis
Build methods into the study and explore results alongside standard research workflows.
Discuss specialist research supportMAXDIFF RESULT
MaxDiffConjointTURFVan WestendorpGabor-GrangerKey Driver
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Built in, no separate analysis tool or specialist required
Make sample tasks accessible to compatible assistants
The public MCP workflow supports sample-sourcing tasks through compatible AI assistants. Explore project setup, deployment preparation, traffic analysis, and reconciliation in an interactive example.
MCPSample Sourcing MCP
Bring sample work into the AI workflow already moving your study
Create projects, check traffic, and reconcile data in natural language while your team stays in the tools they already use.
Explore capabilities
Your AI assistant
Sample sourcing connected
Request
1 of 6Create a sample project for 500 completes with balanced age and gender quotas.
Compatible AI assistants
Connect sample sourcing to compatible assistants through MCP.
ClaudeChatGPTGeminiGrokOther MCP-compatible AI
Move from field close to useful analysis
Explore results using cross-tabulation, weighting, significance testing, text and sentiment analysis, customer persona creation, and visualization. Results are ready to explore when field closes.
Researchers can examine findings in the platform and prepare reporting from the same workflow.
SEGMENT COMPARISON
Top-2-box favorability by segment (%)
Significance tested automatically, report drafted by RepData AI
AI support with the researcher in control
RepData AI analyzes open-ended responses, surfaces drivers behind results, and creates executive summaries. Researchers use its output alongside platform analytics and their own judgment.
AI assistance in the research workflow is separate from AI-enabled fraud detection and quality evaluation.
What is driving NPS this wave?
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Research in practice
Published stories describe specific work and outcomes in their original context.
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 storyFood & Beverage
Amplify Snacks
Syndicated data showed what was happening, but Amplify needed to understand why shoppers made their purchase decisions.
Monthly Shopper tracking in the published customer story
Read the storyResearch Platform
What research can the platform support?
Workflows include concept testing, brand tracking, pricing strategy, content research, customer experience, and product development.
Which methods are available?
Methods include MaxDiff, conjoint, TURF, Van Westendorp, Gabor-Granger, key driver, and text and sentiment analysis.
Can a team bring its own audience?
Yes. Sample sourcing can be connected to the workflow, or teams can bring their own audience.
How is AI used?
RepData AI can analyze open-ended responses, surface drivers, and create executive summaries. This is separate from fraud detection and quality evaluation.
Talk through your research workflow
Bring the audience, methods, and operating requirements. We can discuss a suitable path.
