Query Sampling
Start With A Clean, Representative Query Sample
A laboratory sample tray — uniform wells for batches by time period, language, product area, or traffic source. Color and grain density encode volume, redundancy, and quality. Tray tilt warns when the sample is biased.
Build A Sample
Tray level — open a well, or Remove Noise if tilt appears (single day / one customer / bots).
- Upload Query Data — CSV, JSON, or log files
- Build A Sample — filter time, source, product scope
- Remove Noise — bots, tests, duplicates
- Mask Sensitive Fields — redact user and account PII
- Approve Sample — send to Intent Analysis
Failed Queries Are Product Feedback.
The Intelligence Hidden In Accumulated Queries.
QuerySilt is the Search Intent Diagnostic Layer for B2B SaaS, AI support, developer tools, and enterprise search — not a new search engine. Mine zero-result, rewrite, and retrieval failure silt into decisions.