Research
StrataIQ is built on applied research in semantic event labeling, industry benchmarking, and privacy-preserving measurement. Here's how it works — openly.
01 / Focus Areas
Mapping raw UI interactions to human-readable intent with large language models — one inference per unique interaction pattern, with confidence scoring and human review below threshold. Labeling cost scales with UI complexity, not traffic.
Percentile distributions of performance, coverage, and structure metrics across seven industries — seeded from curated top-performing sites, refreshed quarterly, and enriched by opt-in anonymized contributions.
PII scrubbing runs client-side before any network call — password, email, and phone fields are never captured; card and SSN patterns auto-redacted. Deletion is a first-class workflow, not a support ticket.
A founding doctrine: never fabricate. Scores are only shown when honestly measurable — partial honest data beats complete dishonest data, in Lens reports and across StrataIQ alike.
02 / Methodology
If a metric can’t be honestly measured, we show "insufficient data" — never an invented number.
Low-confidence labels surface for review. Corrections feed back as examples, improving accuracy continuously.
Scrubbing is client-side and structural — private data can’t leak because it never leaves the browser.
StrataIQ runs on StrataIQ. Our own product decisions are made on the same labeled event stream we sell.
Every Lens report is a live demonstration of honest, benchmarked measurement.
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