AI Quality Screening
Automatically filter for high-quality participant responses
What’s new
Detect low-effort, inconsistent, or low-quality responses
Prioritize high-quality interviews for analysis
Reduce time spent reviewing unusable data
Why it matters
Not every participant provides thoughtful or reliable input, especially at scale. Manually identifying low-quality responses slows teams down and introduces inconsistency. AI quality screening helps ensure you’re working with stronger data from the start.
How to use it
Enable quality screening for your study
Review flagged responses as needed
Focus analysis on high-quality interviews
