Flag quality issues and improve data accuracynext-gen AI insights
Control open-ended response quality
Supercharge your team's productivity and accuracy using open-ended AI text analysis. We screen responses for off-topic, low-effort, nonsense, duplicate and LLM generated data quality issues.
Nonsensical Response
What brought you to SoftwareCon 2025?
asdfjk; lfdsafss alenbdas fdsaf dsfds vaso4*3q9dc
High quality response
Q: What brought you to the SoftwareCon 2024?
A: I'm a product manager, and huge enthusiast of AI software. Looking for networking opportunities.
Off-topic Response
Q: What brought you to the SoftwareCon 2024?
A: Bears are adorable and I go bear watching in Yellowstone every year!
Duplicate Response
Q: What brought you to the SoftwareCon 2024?
A: Networking and free gifts from vendors!
Q: What should the convention add next year?
A: Networking and free gifts from vendors!
Low Effort Response
Q: What brought you to the SoftwareCon 2024?
A: Not much
LLM Response
Q: What brought you to the SoftwareCon 2024?
A: As a large language model, I am interested in learning about new software at conventions
Plug-in directly to your preferred survey stacknext-gen AI insights
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Analyze keystroke data from a user's browser to detect bot behavior, by analyzing advanced metrics like typing speed, key hold duration, and typing patterns compared to natural human input.
Detect bots with honeypot text
Add honeypot phrases to catch bot-generated responses. Aftercare embeds hidden text invisible to real users into surveys, adding another layer of detection to your screening process.
Include the word "bot" in your answer
Chat with us about your specific use case
Have a specific quality issue that you're looking to screen for?
