Stop Manual Data Cleaning
Stop cleaning survey data by hand.
Manual data cleaning is the biggest hidden cost in research. Most of the problem is not outright fraud. It is real people who start engaged and stop paying attention, respondents who have already taken 100 surveys that day, and careless answers that pass basic screening but fill your dataset with noise. It also includes the fraud that slips past the first gate of pre-survey protection. Our in-survey data cleaning catches all of it automatically with multi-dimension quality scoring, in real time, so your team stops cleaning data by hand.
The Problem
Why manual data cleaning never ends
Most of what you clean by hand is not outright fraud. It is real people who are disengaged, careless, or fatigued, plus the occasional fraudster who slips past pre-survey screening. Their answers dilute your signal and force hours of manual review on every study.
Engagement That Fades
A respondent starts your survey with thoughtful answers but gradually disengages midway through. Their early responses look legitimate, masking the careless data they produce as attention drops. Traditional quality checks do not detect this pattern because they evaluate each question in isolation.
Survey Fatigue at Scale
You do not know that the respondent answering your survey has already completed 30, 50, or 100 other surveys today. By the time they reach yours, they are going through the motions. Without cross-ecosystem visibility, this fatigue is completely invisible to your quality controls.
Subtle Disengagement
Careless respondents do not always leave obvious signs. They give contradictory answers across questions, provide superficial open-ends that technically answer the question, or show mechanical patterns in grid data. These behaviors are invisible in aggregate reporting but systematically degrade your insights.
Impact
The hidden cost of inattentive data
30-50%
of completes discarded by teams without in-survey quality scoring
Hours
of manual data cleaning per project, repeated on every study
Millions
in strategic decisions based on flattened, unreliable insights
Invisible
to traditional trap questions and basic quality checks
The Solution
How Rep Data automates your data cleaning
Multi-Dimension In-Survey Data Cleaning
Our in-survey data cleaning evaluates every response across five distinct quality modules. Each respondent gets a composite Quality Score that tells you exactly how trustworthy their data is. One number, built from multiple layers of evidence.
Coherence Score
AI detects contradictions across a respondent's entire set of answers automatically. A 22-year-old who claims 30 years of experience. A vegetarian who lists steak as a favorite meal. Our in-survey data cleaning considers all question types and provides a specific explanation for each flagged inconsistency. Scored 0-100.
Behavioral Analytics Score
Monitors keystroke rhythm, pauses between inputs, mouse movements, and typing speed in real time. Distinguishes natural human engagement from mechanical or copy-pasted responses. Lower scores flag artificial input patterns and disengaged behavior.
Open-Ended Score
AI evaluates every open-ended response for relevance, effort, and substance. Catches off-topic answers, low-effort text, copy-paste responses, and superficial replies that technically answer the question but carry no analytical value. Each open-end gets its own 0-100 quality score.
Time Score
Goes beyond simple total-time checks. Analyzes response timing at the question level across the entire survey, detecting respondents who start engaged and then rush through the second half. Catches the pattern of waning engagement that basic time thresholds miss entirely.
Grid-Question Score
Identifies systematic answer patterns in grid questions that indicate the respondent has stopped engaging with the content. Detects mechanical response patterns across item batteries that trap questions and manual review consistently miss.
Proven Results
Cleaner data, faster insights
- Advanis cut data cleaning time in half across 100+ annual projects
- Research Design Specialists saw 60-70% less data removal than with previous vendors
- VML saw rejection rates drop from 40%+ to 2% with verified, engaged respondents
- Vox Media received 4,000+ nationally representative respondents for high-profile studies
- Latitude saw respondent return rates jump from 7-8% to 30% through better engagement
- Real-time scoring catches problems during fieldwork, not after
Client Results
Trusted by leading research teams
“Speed and flexibility are key in our research projects. With [Rep Data], the building, fielding, and analysis can literally all be done in a matter of days, and the easy-to-understand charts can be accessed at the touch of a button.”
Joanne
Senior Project Director, TCC Global
“We trust that the data Rep Data is giving us is clean, real and representative. I even recommended their services to my previous employer.”
Ben Winston
Senior Director, ClearPath Strategies
“We did a couple of tests and the data was so much better that we were instantly sold. They're now our primary provider.”
Scott Rasmussen
Founder, RMG Research