Blog
Practical writing for research ops, panels, and insights leaders fighting fraud in online sample.
Topics
Short, ops-aware pieces on the threats and workflows that show up in real fieldwork.
A patented question library vs a dual-layer gate. Agents sit Sentry.
AI Agents pass Verisoul-style checks. Maxna does not.
Why identity tools are half a product - and Maxna is both layers.
Bots, click farms, professional respondents, duplicates, and AI-written answers.
Define the quality bar before you buy another QC tool.
Featured
Most survey fraud tools only score the person. Maxna scores the person and the answers with proprietary AI - that is the difference between respondent quality and sample integrity.
Archive
Sentry is a patented mini-survey plus DigiPrint. That is 2016 fraud detection. Maxna is a dual-layer gate - respondent quality and response quality - so AI Agents and AI-written answers do not become completes.
AI Agents look like a real device, so Verisoul, RelevantID, and respondent scores still see a valid session. Maxna catches the agent on behavior and AI-written answers.
A practical 2026 guide to survey fraud detection - bots, click farms, duplicates, AI answers, and why pre-survey screening beats post-field cleaning.
Sample integrity means your survey respondents are real, unique, and attentive enough for decision-grade insights - not just 'completed' rows.
How click farms pollute online sample, why they pass basic QC, and how multi-layer screening stops organized survey fraud.
Generative AI produces fluent open-ends that pass surface QC. Here’s how research teams detect and block AI-written survey responses.
Device fingerprinting pioneered by tools like Imperium RelevantID is necessary but not sufficient. Here’s the modern stack for survey fraud.
Post-field cleaning removes some bad rows. Pre-survey screening stops fraud while quotas are open - and saves incidence, budget, and trust.
How online panels can detect and block bots and AI agents before they enter surveys - without destroying good respondent experience.
Professional survey takers game screeners and quotas. Here’s how to detect them and protect incidence without blocking genuine niche respondents.
Cut reconciliation fights and bad completes with in-field blocking, clear reject reasons, and consistent multi-supplier integrity rules.
How AI grading improves open-end quality in surveys - catching gibberish, low effort, translation abuse, and generative AI responses.
Duplicates hop across panels on the same study. Here’s how to detect multi-supplier duplicates and protect quotas.
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