Amazon Connect Customer now lets you create, manage, and search custom metrics through APIs
Share
Services
Amazon Connect Customer provides a library of standard metrics. Custom metrics let you go further; defining the measurements unique to your business. But managing them across various instances manually means definitions slowly drift until the numbers no longer align. A metric you can't trust is worse than no metric at all, because people still make decisions on it. Now you define a metric once and manage it programmatically through seven new API operations (CreateMetric, DeleteMetric, DescribeMetric, ListMetrics, SearchMetrics, UpdateMetricContent, and UpdateMetricMetadata) so your definitions stay consistent as you scale across queues, teams, and environments. For example, a customer experience leader noticing a drop in self-service completion rates can define a custom metric that tracks the percentage of interactions where customers abandon and request a live agent within 90 seconds. Using the API, an AI-powered operations assistant can automatically create the metric and publish it to a monitoring dashboard — no manual console work, no definition drift across environments. Every change is tracked in AWS CloudTrail, giving you a complete audit trail. This feature is available in all AWS Regions where Amazon Connect Customer is offered. To learn more, see the [Amazon Connect Customer API Reference](https://docs.aws.amazon.com/connect/latest/APIReference/API%5FCreateMetric.html) and the [Amazon Connect Customer Administrator Guide](https://docs.aws.amazon.com/connect/latest/adminguide/metric-primitive-definitions.html). To learn more about Amazon Connect, please visit the [Amazon Connect Customer website](https://aws.amazon.com/products/connect/customer/).
What else is happening at Amazon Web Services?
Read update
Services
Share
Read update
Services
Share
Amazon SageMaker AI announces training session APIs for serverless model customization
about 7 hours ago
Services
Share
AWS Direct Connect announces 100G expansion in Bangalore, India
about 8 hours ago
Services
Share
AWS announces AWS Interconnect - last mile preview with Megaport
about 12 hours ago
Services
Share
Amazon SageMaker AI now supports serverless model customization for Muse Glimmer, Qwen 3.8 and Ministral 3 models
about 16 hours ago
Services
Share