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Data analytics

Data analytics

Dashboards and metrics founders check weekly—not a data warehouse science project before you have customers.

Good fit if: Teams with product telemetry who need clarity on activation, retention, and revenue.

What we deliver

Analytics deliverables:

Event taxonomy

What to track and why—before someone wires 200 random Mixpanel events.

Dashboards

Metabase, Looker, or GA4 views that answer one question each.

ETL light

When you need Stripe + product data in one place without a full lake.

Our Process

1

Scope & stack

We agree what ships in v1, what waits, and which stack fits your timeline—usually a short call, not a month of slides.

2

Design you can click

Figma flows and UI reviews async so you see the product before we burn the build budget.

3

Build in your repos

Daily or every-other-day staging links, PRs you can watch, and docs written for the team after us.

4

Launch & handoff

Production deploy, smoke tests, and a clean handoff—you own the code, keys, and runbooks.

Frequently asked questions

Questions we hear on discovery calls—answered plainly.

Large-scale pipelines and governance live under /data-engineering—not this lighter analytics lane.

Ready to ship your MVP?

Book a short call to walk through scope, timeline, and ownership. No pressure—just a clear path from idea to production.

See work
OctaVertex founder collaborating with the studio team

Related Services

Buyer journey

Related services & resources

Hub: data-analytics — explore spokes and downloads buyers use before signing scope.