Four stages - Foundation, Unification, Visibility, Compounding
We audit your entire data layer - product events, warehouse tables, pipelines, definitions. We fix what's broken. Every team pulls the same number for the same question.
Product analytics, warehouses, pipelines, billing, CRM - we connect and model everything into a single source of truth. One view of your customer from first touch to revenue.
We build the reporting layer your team will actually use - executive dashboards, product funnels, cohort analyses.
We go find the answers - why users churn, why they don't convert, why some cohorts stick and others don't. Then we design and run the experiments that fix it.
Curious how this would work on your stack?
Book a callWe work inside your stack, not ours. As of 2026:
It runs in four phases. First, foundation: we audit your entire data layer - product events, warehouse tables, pipelines, definitions - and fix what's broken. Second, unification: we connect and model product analytics, warehouses, pipelines, billing, and CRM into a single source of truth. Third, visibility: we build the reporting layer your team will actually use. Fourth, compounding: we find why users churn or fail to convert, then design and run the experiments that fix it.
Less than a day. We've done this 100+ times, so we don't need a month to learn your stack or a week of onboarding meetings. Share access and we're auditing your data by tomorrow. Most teams see their first actionable insights within 2 to 3 weeks of kickoff.
Week one: full data audit. We identify what's broken, what's missing, and what's being tracked but never used. From there, we prioritize, fix critical tracking issues, unify data sources, build the reporting your team actually needs, and start identifying growth levers. Weekly syncs keep everything aligned.
Most companies do. The question is whether anyone trusts it. We audit what you have, fix what's broken, fill what's missing, and build on what's working. We don't rip and replace, we make your current investment reliable.
Yes. Everything - tracking plans, models, dashboards, documentation - is built in your tools and owned by your team. When you eventually hire in-house, they inherit a clean, documented foundation.
Whatever you're already running. Mixpanel, Amplitude, PostHog, BigQuery, Snowflake, Databricks, Postgres, and the pipelines and modeling layers around them - dbt, Fivetran, Segment, Rudderstack. If your data lives somewhere unusual, mention it on the first call and we'll tell you straight whether we can handle it.