Event taxonomy
What to track and why—before someone wires 200 random Mixpanel events.
Service
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
Practical work with scope you can verify.
Analytics deliverables:
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.
How we deliver
The work stays visible.
01
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.
02
Design you can click
Figma flows and UI reviews async so you see the product before we burn the build budget.
03
Build in your repos
Daily or every-other-day staging links, PRs you can watch, and docs written for the team after us.
04
Launch & handoff
Production deploy, smoke tests, and a clean handoff—you own the code, keys, and runbooks.
FAQ
Good questions welcome.
Questions we hear on discovery calls—answered plainly.
Large-scale pipelines and governance live under /data-engineering—not this lighter analytics lane.
Start with the problem
Ready to ship software that does the heavy lifting?
11 builds shipped, 7 live. One call gets you scope, timeline, and price.
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