The removals, broken down
Bots, fraudulent respondents, and low-quality answers, counted separately.
Data Quality Reports
Evidence of integrity, month after month
Bots, fraudulent respondents, and careless answers get flagged and removed before your data reaches a single report. Here's exactly how much, month after month.
Updated monthly. Every report includes the methodology and the removal rationale.
We don't just collect data, we protect its quality to deliver decision-ready insights.
May 2026 avg removal rate
61%
Across 3 studies
April 2026 avg removal rate
66%
Across 5 studies
March 2026 avg removal rate
41%
Across 6 studies
Why removals vary
Different audiences & suppliers, same high standard.
Rolling removal rate chart appears inside each PDF.
The trend
Removal rates by month
Every bar is one month of live studies. A lower month isn't a better month, it means that month's sample came in cleaner. A higher month means we caught more before it reached you. What stays constant is that every study goes through the full process.
63%
The average of respondents removed
during the last 3 months
Monthly Removal Rate
How we ensure quality
Detection, review, and transparency on every study
Clean data isn't one check at the end. Every study runs through automated fraud detection, a human review pass, and a published record of what we removed and why.
Step 01
Smart detection
AI-driven fraud checks flag bots, duplicates, and synthetic responses before they pollute your data.
Step 02
Human review
No data leaves our hands without a manual pass. We look for coherence, relevance, and context.
Step 03
Transparent methods
Every report links to methodology notes and the month's removal rationale.
Monthly reports
Every month, in full
Each report is a short, visual PDF: what we removed, why, and the methodology behind the call. No spin, just the month's numbers and the reasoning.
Data Quality
May 2026
Avg removal rate: 61% across 3 studies
Download the reportData Quality
April 2026
Avg removal rate: 66% across 5 studies
Download the reportData Quality
March 2026
Avg removal rate: 41% across 6 studies
Download the reportData Quality
February 2026
Avg removal rate: 43% across 7 studies
Download the reportData Quality
January 2026
Avg removal rate: 46% across 6 studies
Download the reportData Quality
December 2025
Avg removal rate: 53% across 7 studies
Download the reportWhat's inside
What each report shows
No summaries, no spin — just the month's numbers and the reasoning behind them. Here's what you'll find in every report.
The reasoning
Why each group was removed, in plain language.
The methodology
The checks that flagged them, plus anything unusual that month.
The context
Sample sizes and sources, so the rate actually means something.
Questions
Why the numbers move, and what stays the same
Clean data is the whole point
Every number on this page is data that never reached a final business decision, because it shouldn't have. That's the standard behind every GroupSolver study. See what it looks like on your own research question.
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