Robust Tracking Schemas
Organize your taxonomy with centralized visiblity. Schemas are extensible & designed to scale from simple to complex codebases.
Without Taxonomy
Curate taxonomy with schema-first tracking infra that is type-safe & self-documenting. 📈
Edit the YAML schema, then experiment with the type-safe tracker.
CLI output will appear here when you modify the YAML schema
Organizations follow a natural progression in their analytics journey:
Teams fly blind with no data.
Teams add analytics as needs arise.
The data is there, but so is the chaos & knowledge silos.
Data quality champions have laid the ground rules of taxonomy. Chaos is down, but knowledge silos are still up.
As the app evolves, a never stale autodoc of analytics taxonomy gets generated from schemas.
Analytics data becomes part of an interconnected platform to power workflows & in-app personalization.
Evolutionary schema context is generated for use by AI agents, so that over time they get increasingly better at analyzing & understanding your data.
Voltage is designed to help your organization scale all the way from stage 2 - 7 while following industry standard best practices. ⚡