Case Study: Dribbble strengthens data trust and reduces incident resolution time with Metaplane

Dribbble designs a data quality solution with Metaplane

Dribbble, a design hiring platform, needed to ensure the quality and reliability of the data used by its product, marketing, and finance teams to drive business decisions. Their existing data quality safeguards, built on unit tests, were difficult to scale and produced unreliable alerts, leading to alert fatigue and a lack of trust in their data infrastructure. They implemented Metaplane to gain a more robust and automated data observability solution.

By deploying Metaplane, Dribbble's team set up automated monitors for data freshness, schema changes, and nullness rates across their entire Snowflake warehouse. Metaplane provided intelligent thresholding and column-level lineage, which drastically reduced false positives and accelerated incident triage and stakeholder communication. The results included a significant reduction in incident resolution time, proactive issue detection that rebuilt trust in the data team, and a better overall sense of security in their data infrastructure.

Dribbble

Ashley Melanson

Lead Analytics Engineer