Case Study: Service Monitor achieves adaptive, real-time survey intelligence with Lambert Labs

A Lambert Labs Case Study

Service Monitor boosts survey completion rates with Lambert Labs

Service Monitor, a UK market research agency, needed to build a generative AI-powered review collection product to provide timely insights for its clients in fast-moving sectors. Their challenge was that static surveys could not adapt to individual experiences in real time, leading to redundant questions and respondent fatigue. They partnered with Lambert Labs to develop an adaptive survey intelligence system using Amazon Bedrock.

Lambert Labs engineered a solution using Anthropic Claude via Amazon Bedrock to dynamically tailor survey questions based on respondent input in real time. This resulted in higher completion rates, deeper insights, and operational scalability for Service Monitor. The platform was built on Amazon ECS with AWS Fargate to provide high availability, fault tolerance, and secure, scalable operation.


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