Anonymized engagement pattern

Funded startup: board metrics without the first data hire

Post-funding teams need investor-grade metrics faster than a hiring loop. This page describes the pattern, not a fictional Series A logo.

Starting point

Stripe, product analytics, and ads each had a different active-customer count. The board deck was rebuilt by hand the week before the meeting. Nobody wanted to hire a data engineer whose first six months would be plumbing.

What we run

Sources into BigQuery, certified definitions for revenue, churn, CAC, and cohorts, Metabase dashboards with unlimited seats so the CEO and the newest AE see the same number. Included team hours cover metric design and the first agents on that layer.

Handover if they hire later

Warehouse and Git-managed models stay with the customer. A future Head of Data inherits work instead of a folder of Looker tickets.

Frequently asked questions

Is the Scaling Data Audit required?

No. It is a useful first call for growing companies. You can also book a product call and go straight to a plan.

Talk through this on your stack

Book a free Scaling Data Audit. We'll show what the team would ship first.