What we’re seeing
in sample quality.
Practical notes on fielding hard-to-reach audiences, from the people who do it every day.
Latest insights
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ArticleSkip the Soft Launch—what could go wrong?
Here’s a scenario we’ve seen happen before: The data collection vendor wanted to skip the soft launch, they were most interested in moving fast. So…
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ArticleYour Research Partner for Hard-to-Reach Audiences & Global Insights
When your research demands precision — reaching niche audiences, navigating global markets, or collecting data across complex verticals — you need a…
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ArticleHow to vet your data collection sample partner without compromising data quality?
Don’t simply ask “Do you actively work to prevent survey fraud?” Any data collection vendor will say yes to that. Instead, ask about specifics …
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ArticleCollaboration = Research Success
We like to take a collaborative approach when working with clients. Many vendors simply take your questionnaire and program it or execute it exactly…
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ArticleScreeners that don’t Telegraph Audience
Screeners that make it obvious who qualifies don’t protect quality — they invite fraud. Intelligent screener design makes all the difference. How do…
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ArticleWe’ll tell you when something doesn’t add up
We are often asked to recruit C-suite executives at Fortune 500 companies, a task at which we are quite successful. Occasionally, however, the…
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ArticleFraud Prevention in One Step?
Think again. It requires multiple checkpoints, layers and touches to truly prevent fraudulent data. At ElevenMR, we start with dtect – our advanced…
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ArticleHow ElevenMR protects your Research Investment
At Eleven MR, we have one philosophy: if you can’t trust the data, what’s the point? Most shops treat data quality like a checkbox. We built our…
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ArticleMost people skip soft launches. Those people regret it.
Here’s what a real soft launch review looks like: Check survey logic—are people qualifying who shouldn’t? Review brand awareness—do the numbers make…
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ArticleData Quality 101: How Poor Screeners Invite Bad Respondents
Screeners that make it obvious who qualifies don’t protect quality — they invite fraud. Intelligent screener design makes all the difference. How do…
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ArticleStop Betting Your Entire Study on One Sample Source
Relying on a single provider isn’t efficient. It’s fragile. When that one source underperforms, slows down, or lets fraud slip through: Your entire…
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ArticleBetter Field Oversight = Better Decisions
Sometimes the biggest quality upgrade isn’t software — it’s experience. Talk to our team about your next project.
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ArticleIf your survey takes 30+ minutes, your data quality is suffering.
Nobody wants to take a 45-minute survey that asks the same questions three different ways. Busy professionals? They’ll bail even faster. Here’s what…
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ArticleThe Data Quality Mistakes We See Every Single Week
Let’s talk about data quality. With bots getting smarter and AI agents gaming surveys better than ever, the difference between good data and garbage…
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ArticleHumans + Technology = Better Data
Fraud detection tools are critical, but experienced field teams often catch quality issues automation alone can’t. Tell us about your experience.
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ArticleYour Screener is probably Telegraphing Fraud
I see this every week: screeners that basically tell fraudsters exactly how to qualify. “Which of these executive titles best describes your role?”…
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ArticleBy the Numbers: Data quality past, present and future
When I first started out in the market research industry in the late 1990s we collected all of our data using pencil-and-paper surveys, which were…
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ArticleData fraud: A threat to Market Research
There’s an episode of “The Office,” season 5, called “Customer Survey” where Jim and Dwight are shocked to learn of their poor customer satisfaction…
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