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Analytics is Chaos

Without Voltage

Don't let knowledge silos, stale documentation, or poor reliability hold back product analytics. 📈

How it works
Get Started
📚

Self-Documenting Analytics

Spread data awareness & break down knowledge silos by providing a never-stale autodoc of your apps analytics taxonomy.

📋

Robust Tracking Schemas

Take control of your taxonomy with extensible tracking schemas that provide central visiblity, version history, & standardization.

🔒

Type-Safe Tracking

Prevent data corruption & outages with build time errors that ensure an app tracks exactly what it's supposed to track.

🔌

Vendor Agnostic

Integrate seamlessly with your favorite event based analytics vendor, such as Segment, Amplitude, Mixpanel, or PostHog.

Interactive Demo(s) 👨‍💻

Try the interactive demo, or view sample taxonomy docs generated by Voltage.

Try Voltage-Schema

ⓘ
Note: this code editor simulates the functionality of voltage-schema, but does not actually run the npm package.

Edit the YAML schema, then experiment with the type-safe tracker.

📝 YAML Events Schema
events:
  message_sent:
    name: Message Sent
    description: Triggered when a user sends a message.
    properties:
      - name: Message Type
        description: Describes how the message was sent.
        type:
          - email
          - sms
          - in-app
      - name: Thread Message Count
        description: The number of messages in the thread.
        type: number
      - name: Has Read Receipts
        description: Indicates whether the sending user will receive a read receipt.
        optional: true
        type: boolean
⚡ TypeScript Tracker
🖥️ CLI Outputnpm voltage generate
CLI output will appear here when you modify the YAML schema
The Journey Towards Data Maturity 🧙‍♂️
Organizations follow a natural progression in their analytics journey:
1
No Tracking
Teams fly blind with no data.
2
Basic Tracking
Teams add analytics as needs arise.
3
Chaotic Tracking
The data is there, but so is the chaos & knowledge silos.
4
Organized Taxonomy
Data quality champions have laid the ground rules of taxonomy. Chaos is down, but knowledge silos are still up.
5
Self-Documenting Analytics
As the app evolves, a never stale autodoc of analytics taxonomy gets generated from schemas.
6
Augmented Analytics
Analytics data becomes part of an interconnected platform to power workflows & in-app personalization.
7
AI Ready Analytics
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. ⚡ 
How it WorksGet Started