Frequently Asked Questions

Rep Data is a survey data quality company. We help research teams at Fortune 500 companies and leading firms get clean, trustworthy data from online surveys. We do this through a combination of fraud prevention technology, in-survey quality scoring, and expert-managed data collection. Our tools and services work together to catch bad data at every stage of the survey lifecycle.

We work with Fortune 500 consumer insights teams, global research agencies, panel providers, and technology platforms. Clients like Netflix, Google, Microsoft, Samsung, and Procter & Gamble rely on our technology and services. We also work with mid-market research firms, sample exchanges, and independent researchers who need reliable quality controls.

Most sample providers sell respondents. We sell quality. Every respondent that comes through Rep Data is screened by pre-survey fraud prevention before they enter your survey, scored by in-survey data cleaning during the survey, and reviewed by our team after. We catch 21-38% of traffic from even the most reputable panels as suspicious. That is not a knock on those panels. It is the reality of online research today, and we are built to handle it.

No. Our products work independently and together. Some clients only use pre-survey fraud prevention for pre-survey fraud screening. Others use in-survey data cleaning for in-survey quality scoring on their own panels. Many use our research services team for full-service data collection. The products are designed to layer, but you can start with whatever solves your most pressing quality problem.

Reach out through our contact form or talk to our team directly. We will scope your needs, recommend the right combination of products and services, and get you set up. Our pre-survey fraud prevention can be integrated in minutes with a single redirect URL. Our in-survey data cleaning connects via API. Our services team can manage the entire process for you.

Yes. Our research platform is an end-to-end research platform with quality at the core. It started life as SightX and is now part of Rep Data, bringing survey programming, fielding, pre-survey fraud prevention screening, in-survey data cleaning, and analytics together in a single workflow, so you can run an entire study without stitching together separate tools.

Every standard question type plus advanced research methods, including MaxDiff, conjoint, TURF, Van Westendorp, Gabor-Granger, and key driver analysis. The full question-type library is built in, so you can field simple trackers and sophisticated methodologies on the same platform.

Rep Data AI is the research consultant built into the research platform. It helps you design questionnaires, choose the right methods, and interpret results, so you get expert guidance without leaving the platform.

Yes. Our pre-survey fraud prevention screens respondents before they enter, and our in-survey data cleaning scores every response in real time. Quality controls are layered into the platform by default rather than bolted on after fielding.

Yes. We make complex survey programming reliable and fast. We build advanced logic, quotas, multi-language surveys, and device-agnostic questionnaires to spec, with the Rep Data quality stack built in.

Yes. We program advanced methods like MaxDiff, conjoint, and TURF, along with intricate skip logic, piping, randomization, and quota management. If you can design it, we can program it accurately and test it thoroughly before launch.

We program in every major survey platform, including Qualtrics, Decipher, and Confirmit, as well as custom-built platforms. We match the platform to your study's requirements and your team's preferences.

Yes. Surveys we program come with pre-survey fraud prevention and in-survey data cleaning available out of the box, so quality controls are wired in from the first respondent.

Our pre-survey fraud prevention is the tool that sits at the front door of your survey and scans every respondent before they get in. It uses 130+ signal digital fingerprinting, hyperactivity detection across the research ecosystem, and the industry's first no-fly fraud suppression list. If a respondent is a known fraudster, a bot, using a VPN, or has taken 100 surveys today, it blocks them before they touch your questionnaire.

You add a single redirect URL or code snippet to your survey flow. It works with Qualtrics, Decipher, Confirmit, and every major platform. For Decipher, we have a native integration that requires zero code. The scan happens in milliseconds, so respondents do not notice any delay.

Every respondent scanned by pre-survey fraud prevention receives a threat potential score. This score combines signals from our digital fingerprint, external reputation databases, hyperactivity data, and fraud history into a single number. Lower scores are better. You set the threshold for what gets blocked based on your study's tolerance for risk.

When we scan traffic from major, reputable panel sources, pre-survey fraud prevention flags between 21% and 38% as suspicious or fraudulent. That includes VPN users, hyperactive respondents, known fraudsters, and other bad actors. This is not an indictment of those panels. It is the scale of the fraud problem in online research, and most teams do not realize it until they see the data.

The no-fly list is our unified fraud suppression list. When a respondent is identified as a repeat fraudster, they are blocked across the entire pre-survey fraud prevention ecosystem. The list is updated daily as new fraud signals emerge. It is the industry's first cross-study, cross-panel fraudster suppression system.

Our in-survey data cleaning is the in-survey quality scoring platform. While our pre-survey fraud prevention catches fraud before the survey, our in-survey data cleaning evaluates every response as it happens. It scores respondents across multiple quality dimensions including open-ended answer quality, coherence across all answers, behavioral analytics like keystroke patterns, completion speed, and grid-question response patterns. Everything rolls up into a single Quality Score per respondent.

Our in-survey data cleaning's Open-Ended Score analyzes the linguistic patterns, grammar, syntax, and word choice of every open-ended answer. It detects text generated by ChatGPT, Claude, and other LLMs by identifying the telltale patterns of machine-generated content. It also catches copy-pasted answers, nonsensical text, off-topic responses, and duplicate text across respondents.

The Coherence Score checks whether a respondent's answers are internally consistent across the entire survey. If someone says they are 22 years old but reports 30 years of work experience, our in-survey data cleaning catches that automatically. No presetting required. The AI considers all question types and provides an explanation for each flagged inconsistency.

This is a newer capability in in-survey data cleaning that analyzes typing behavior in real time. It monitors keystroke rhythm, pauses between inputs, and typing speed to distinguish natural human typing from bot-generated or copy-pasted responses. Lower scores indicate artificial or non-human input patterns.

Yes. With real-time API integration, our in-survey data cleaning can score responses as they come in. If a respondent falls below your quality threshold, you can terminate them mid-survey rather than paying for a complete that you will throw away later. This saves money and keeps your dataset clean from the start.

Our sample sourcing is the programmatic platform that gives you central control over 20+ integrated panel sources with built-in quality scoring, source diversity management, and pre-survey fraud prevention screening on every complete. You can use it through our services team or as a self-service platform.

Our research services team handles end-to-end data collection including survey design consultation, programming, sample sourcing, quality monitoring, data cleaning, and weighting. Every project gets a dedicated team with 5+ years average research experience. We have an 81 lifetime NPS because we proactively manage quality, not just deliver sample.

Our pricing is based on usage. For pre-survey fraud prevention, pricing scales with the volume of data calls (similar to survey starts). Costs per data call decrease as volume increases. We sign 12-month contracts and invoice in arrears, so you are not asked to predict the future or commit to an upfront payment. For services, pricing depends on project scope, audience complexity, and timeline.

Our pre-survey fraud prevention and in-survey data cleaning integrate with every major survey platform including Qualtrics, Decipher (FocusVision), Confirmit, SurveyGizmo, and custom-built platforms. Our pre-survey fraud prevention has native integrations with Decipher that require zero code. For other platforms, integration takes minutes with a redirect URL or API connection.