Pre-survey fraud prevention
Evaluate incoming traffic before it reaches the survey, including duplication and suspicious activity.
Learn moreRepData for sample providers
Protect respondent experience and make quality operations more transparent with fraud prevention and quality capabilities designed for online research workflows.
Protect the respondent journey
Explore the capabilities that fit your team's priorities and workflow.
In-survey quality scoring
Evaluate response characteristics such as open ends, coherence, behavior, timing, and grid patterns.
Learn moreCompatibility options
Explore a native Decipher connection, supported API workflows, or raw data upload for completed surveys.
Learn moreFit your operating model
Discuss how quality results fit the policies and respondent flow of your panel or platform.
Learn moreMake quality findings useful to the respondent flow
Pre-survey checks assess incoming traffic before survey entry. Technical identity, device and browser characteristics, automation signals, reputation context, and unusual activity help inform that screening stage.
Response quality asks a different question. During or after fieldwork, teams can review open-ended content, coherence, behavior, timing, and grid patterns. Those response signals help surface inattentive or low-effort answers, even when the respondent is not an automated agent.
A composite quality view brings dimensions together for contextual review. It supports configured project decisions rather than implying that one score makes every operational decision.
See how the quality signals differ0%
"I love this product because it has many features that I enjoy. The quality is great and I would recommend it to everyone."
"honestly the battery life is what sold me - i had a samsung before and it'd die by 3pm every day. this one lasts til i go to bed"
"good product nice quality"
"The ergonomic design really helps with my carpal tunnel. I switched from a standard mouse and the difference after a week was noticeable in my wrist pain."
Choose a connection route that exists
Decipher has a native quality connection. Other API workflows depend on the survey platform supporting the required API; API capability does not mean a prebuilt native integration. Completed survey data can also be reviewed through raw data upload.
Review integration boundariesSEGMENT COMPARISON
Top-2-box favorability by segment (%)
Significance tested automatically, report drafted by RepData AI
A practical path from need to insight
The steps vary by audience, but clear requirements connect sourcing, fieldwork, quality, and delivery.
Map the respondent flow
Identify where participants enter, how they move to a survey, and where decisions occur.
Choose an integration route
Review Decipher, API support in your survey platform, or completed-survey data upload.
Apply quality checks
Use pre-survey and in-survey capabilities that match the chosen workflow.
Review operations
Interpret results within your panel or platform policies and configured rules.
For sample providers questions
Can this fit an existing panel or exchange workflow?
Pre-survey fraud prevention is designed for integration into respondent flows. Exact implementation depends on your system and should be confirmed.
Does one score make every decision?
No. Quality signals inform configured workflows and review. Operational actions depend on your system and policy.
Can we evaluate only pre-survey risk?
Pre-survey fraud prevention can be discussed as a distinct capability. The appropriate scope depends on your requirements.
Talk with a research partner
Describe what you need to learn, who you need to reach, and how your team works today.
