Case studies
How teams actually run Maxna
Named logos and invented percentages do not belong here. These are the three deployment patterns we see: panels reconciling with reasons, agencies normalizing blends, brands protecting trackers - all on respondent quality plus response AI.
Other platforms score the respondent. Maxna scores the respondent and the response.
Device IDs, bots, VPNs, and duplicates are necessary. They are not enough. A real device can still paste ChatGPT into every open-end. Maxna's proprietary AI grades what people type - so sample integrity is both who they are and what they say.
Respondent quality
Where most tools stop
- Device fingerprinting and environment risk
- Bots, scripts, and click farms
- VPN / proxy and geo mismatch
- Duplicates and professional respondents
Response quality
Maxna's proprietary AI layer
- AI-written and synthetic open-ends
- Low-effort and copy-paste answers
- Cross-question consistency
- Open-end scoring before the complete is paid
Patterns
By buyer seat
How Panels Use Maxna to Shrink Reconciliation Fights
How panel operations teams put Maxna in front of client surveys so reject reasons are shareable - covering fake respondents and fake answers.
How Agencies Run One Integrity Bar Across Three Suppliers
How research agencies use Maxna as a supplier-agnostic gate so blended sample shares one respondent-quality and response-quality standard.
How Brand Insights Teams Keep Trackers Off Fraud Noise
How insights teams require Maxna on tracker fieldwork so bots, farms, and AI-written open-ends cannot masquerade as brand movement.
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