Relevance grading
Rate how well results match the query against your scale.
Evaluate
Human relevance and ranking judgments that make search and retrieval systems measurably better.
Overview
Search Quality Rating applies consistent human judgment to your search, ranking, and retrieval systems — grading relevance, intent match, and result quality against clear guidelines. The result is reliable signal you can use to tune ranking and benchmark improvements over time.
What's included
Rate how well results match the query against your scale.
Evaluate ordering and the quality of top results.
Judge whether results satisfy the underlying user intent.
Assess practical usefulness, not just keyword overlap.
Check recency, correctness, and source quality.
Compare ranking variants to guide model and system changes.
How it works
We define the task, the rubric, and the quality bar with your team before any work begins.
Domain-matched, trained reviewers are assigned and calibrated through the Intellego engine.
Work runs under managed workflows with second-level QA and client-specific rubrics on every batch.
You receive QA-checked output with measurable accuracy reporting — not just raw labels.
Start with a controlled pilot
Run a scoped pilot, measure the quality, then scale once it's proven.