A/B Testing LLM Prompts and Models: What AI Product Teams Should Measure
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AI A/B TestingLLM EvaluationPrompt TestingAI Product
Prompt and model changes can improve quality or quietly hurt the product. A/B testing helps teams compare real outcomes.
What to test
Test:
- prompt versions
- model choices
- routing rules
- output length
- tone
- retrieval settings
- fallback behavior
Metrics
Measure user feedback, task success, regeneration rate, edit rate, cost, latency, and conversion impact.
Safe rollout
Start with small traffic percentages and monitor failure signals before expanding.
Final thoughts
A/B testing brings product discipline to LLM changes. Measure quality and business impact, not just model preference.