Practice

A studio for analytics work that gets used.

Coded Level is a Toronto analytics studio. Small, opinionated, design-forward. We work past the dashboard, into the decision — with mid-market teams whose data has started costing them more than it returns.

Thesis

Work that gets read in the meeting, defended in the budget, and inherited by the next hire.

Three things break in mid-market analytics teams, in roughly the same order. Definitions drift. Dashboards lose trust. The team that built it leaves. By the time a CFO is quoting one revenue number and a CMO is quoting another, the fix isn't a new tool — it's a sharper diagnosis, a tighter contract on what each number means, and code your next analyst can read without a tour.

We take on a small number of engagements at a time, on purpose. The work shows up in the room — every metric traces back to a model, every dashboard has a named owner, every assumption is in plain English. The point is to leave you ready to hire a full-timer. Not to keep us on retainer forever.

Capabilities

What we work on.

The scope of the practice, in plain language. Each engagement scopes which of these matter — and which ones stay out of the SOW.

Instrumentation

GA4, GTM, Segment, or Snowplow — wired against a written tracking plan, not whatever the last agency clicked through.

Warehouse & modeling

Snowflake, BigQuery, or Redshift with a dbt project structured for someone else to inherit. Tests on every model, lineage you can defend.

Executive dashboards

Power BI, Tableau, Looker, or Metabase — every panel traces to a tested mart, every metric is signed.

Marketing attribution

Multi-touch, Bayesian MMM, or geo-lift — calibrated to ground truth, not whichever model flatters the channel mix.

Cohort & LTV

Cohort-economics marts, BG/NBD or survival LTV, predicted-value scoring routed to the ad platforms that act on it.

Predictive models

Churn, lead scoring, demand forecasting — boring baselines first, fancy models only when they demonstrably beat them.

Governance

Metric contracts, freshness SLAs, named owners. The argument moves to the warehouse, not the meeting.

Anomaly detection

Statistical baselines on canary metrics, alerts routed to a named human — not a channel everyone has muted.

Principles

Four operating principles.

These apply regardless of engagement type. They're the rules we won't bend, even when the client asks. Click through to see how each one shows up in the work.

Principle 01 · Non-negotiable

Audit before we build.

Every engagement starts with a written diagnosis. If we can't tell you precisely what's broken and why in under two weeks, building the fix is guessing.

Example · from the field

What this looks like in practice: a written audit lands before any code ships. If a client wants to skip the diagnosis, we explain why we won't — broken definitions don't get found by building on top of them.

Engagement

How working together feels.

From the first note to the handover. No surprise process, no procurement gauntlet, no rolling scope.

  1. Step one

    You tell us what's going on.

    A short form on /contact. Where your data function is today, what brought you here, anything else worth knowing. No pitch deck, no procurement gauntlet to clear first.

  2. Step two

    Thirty-minute intro.

    If we're a fit, we book a call. We confirm there's a real problem we can help with. If we aren't the right fit, we say so on the call and point you at someone who is — that's a better outcome than a bad engagement.

  3. After the call

    A written scope you can take to finance.

    Deliverables named, timeline named, milestones named, price named. No verbal handshakes, no "we'll figure it out as we go." The SOW is the contract; the work is what the SOW says.

  4. Through the engagement

    Weekly demos against real data.

    Not slides. You see the work every week — disagreements about a definition trigger a written amendment to the metric contract, not a quiet model change. The room is the only place the work lives.

  5. At handover

    It's yours. We're out.

    Repo, warehouse, dashboards, runbooks — transferred. A scoped clarifying-questions window lives in the SOW. The point is to leave you ready to inherit, not to keep us on retainer forever.

Work with us

See if your problem is one we're good at.

Start the conversation

Tell us what's working, what isn't, and what you've already tried. If we're a fit, we'll book a call. If we aren't, we'll point you at someone who is.

See our programs

Toronto, ON · Canada  ·  Est. 2026

© 2026 Coded Level — Toronto analytics studio.Toronto, ON · Canada