AI-Defined Custom Metrics in the Onboardics dashboard

The problem with generic metrics

Every product analytics tool ships with generic metrics that don't match how your business actually works. "Page views" isn't activation. "Session duration" isn't engagement. You end up building spreadsheets on top of your analytics tool, manually mapping proxy metrics to what you actually care about.

How it works

Step 1

Describe your metrics

Go to Settings → Define Your Metrics and type what success looks like in plain English. Example: "Activation means they booked a consultation. Retention means they came back and booked another session within 30 days."

Step 2

AI translates to rules

Our AI analyzes your project's actual event data — page views, clicks, navigation paths — and maps your description to trackable conditions automatically. No event tagging, no custom code, no analytics engineer required.

Step 3

Dashboard rebuilds

Your Activation, Adoption, and Retention pages all update their labels and calculations to use your definitions. "Median time to first interaction" becomes "Median time to first booking." The dashboard speaks your language.

Real example

Customer input

"Activation means they booked a consultation. First value is when they complete their first video call. Feature adoption means they clicked 'Book Session' on an expert profile page. Retention is when they come back and book another session within 30 days."

What AI generates
activation: page_view → /booking/confirmed timeToValue: page_view → /call/complete featureAdoption: click → .book-session-btn (expert profiles) retention: repeat /booking/confirmed within 30 days

What this unlocks

How this is different

Other product analytics tools require you to write code, set up custom event tracking, or hire an analytics engineer to define your activation metrics. Onboardics asks you to write a sentence.

Pricing

Custom metrics are available on Growth ($199/mo) and above.

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