I design and implement the data foundation under your product — event taxonomy, tracking plan, and analytics setup — so you can finally answer why users activate, stick around, or leave.
Four ways to work on your analytics foundation. Start wherever you are — most teams begin with a taxonomy and tracking plan.
Bake a data-driven, product-led operating model into how your team actually works — not just the tooling, but the habits around it.
A clean, documented event schema that scales with your product instead of collapsing under it — the single source of truth for what you track and why.
Choose the right stack for your stage and get it instrumented correctly from day one — or fix an implementation that's already drifted.
Continuous senior analytics support — so insight keeps flowing without you hiring a full in-house data team.
One definition per metric, documented and agreed — so meetings are about decisions, not about whose dashboard is right.
Your team self-serves the routine questions instead of queueing behind an engineer or waiting on a data request.
Tracking that still makes sense after three product pivots and ten new features, because it was designed to.
I go deep on your product, market and goals before touching a single event.
We set clear targets and a tight scope so we're aiming at the same thing.
I become part of the team — in your tools and chat, doing the hands-on work.
Regular insight and iteration, with everything documented so it stays yours.
Typically four to eight weeks depending on product complexity and how much needs untangling. A focused audit of existing tracking is faster — usually one to three weeks.
Yes, and that's the more common case. I'll audit what's there, work out what's salvageable, and migrate you to a clean taxonomy without losing your history where it matters.
Both, depending on your setup. I design the plan and specs, then either work alongside your engineers through implementation or handle instrumentation directly in tools that allow it.
It depends on your stage, budget and stack — I'm tool-agnostic and will recommend based on your case, not a partnership. For most early-stage teams it comes down to Amplitude, Mixpanel or PostHog.
Very. Getting the foundation right early is far cheaper than untangling three years of accumulated tracking debt later, and it's what lets you learn quickly while you search for fit.
Book a 20-minute intro call. Tell me what's broken in your analytics and I'll tell you honestly what it would take to fix it.
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