quality_assurance · saas · workflow
LinkedIn automates search typeahead quality evaluation with GenAI using OpenAI GPT on Azure
LinkedIn's typeahead search quality assessment relied on human evaluation that was difficult to sustain at scale given platform growth, with manual evaluations involving multiple human evaluators taking days or weeks to complete.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · New experiment triggers evaluation
For each new typeahead relevance experiment, GenAI quality evaluation is performed.
Tools used
OpenAI GPTGPT 3.5 TurboAzure
Outcome
The GenAI Typeahead Quality Evaluator reduced evaluation time from days or weeks to a few hours, and a representative experiment demonstrated a 6.8% absolute improvement in the typeahead quality score at position 10, corresponding to a 20% reduction in low-quality suggestions.
Results
Time savedjust a few hours
Volume6.8%
Grounding & classification
Source type: technical build writeup
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