Track workforce productivity KPIs such as average handle time, questions resolved per hour, and time saved per request is correct because these metrics directly measure employee efficiency and show whether the Amazon Bedrock HR assistant reduces time per task and increases throughput during the 60 day pilot.

Use a before and after comparison or an A/B test to collect a baseline and then measure changes in average handle time, questions resolved per hour, first contact resolution and time saved per request. Quantitative KPIs provide concrete evidence of business impact and you can complement them with qualitative feedback to capture user satisfaction and cases where the assistant failed or succeeded.

BLEU score is not appropriate because it is a text similarity metric for machine translation and it does not indicate changes in workforce productivity or time savings.

ROUGE score is likewise a summarization overlap metric and it will not show whether employees handled more requests or spent less time per question.

Increase retrieval recall for the knowledge base can improve answer coverage but it does not by itself prove increased efficiency unless you also measure outcome KPIs like handle time and resolution rate.

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