Workstream 01
Event instrumentation
Typed tracking plans and schema governance across web, mobile, and backend.
CAPABILITIES
Product analytics
Know what users actually do and why. We instrument products, build trustworthy analytics foundations, and enable experimentation programs that support confident decisions.
Event instrumentation
Custom analytics platforms
Experimentation infrastructure
Capability focus areas
Event pipesStorageBIExperiments
What we do
Workstream 02
Custom analytics platforms
ClickHouse-backed internal platforms when off-the-shelf tools become too costly or limiting.
Workstream 03
Experimentation infrastructure
A/B testing frameworks, feature flags, and statistical guardrails for confident product decisions.
Workstream 04
Dashboards and metrics
North-star metrics and team scorecards built in tools your stakeholders already use.
Workstream 05
Reverse ETL
Push insights back into operational tools like CRM, support, and campaign systems.
Workstream 06
Metric governance
Ownership models and semantic definitions that keep KPI meaning stable as teams and product surfaces grow.
How we work
01
Instrumentation audit
Assess current event quality, taxonomy consistency, and dashboard trust gaps.
02
Schema and metric design
Define event contracts and canonical metric definitions with stakeholder alignment.
03
Platform and dashboard rollout
Deliver ingestion, modeling, and dashboard layers with parity checks and QA.
04
Enablement
Train product and analytics teams to self-serve insights safely and consistently.
Tech we use
Event pipes
SegmentSnowplowRudderStackCustom ingestion
Storage
ClickHousePostgreSQLBigQuery
BI
MetabaseSupersetLookerMode
Experiments
GrowthBookOptimizelyCustom frameworks
Feature flags
LaunchDarklyFliptUnleash
Featured case study
Proof in production
We replaced a $180k/year Mixpanel contract with an internal ClickHouse stack and improved query speed 10x.
Read case studyQuestions we get
Should we build or buy analytics?
Buy when small; build when scale, cost, or governance needs exceed tool constraints.
How long does schema design take?
For most mid-sized products, 1-2 weeks delivers major long-term leverage.
Can we keep existing dashboards during migration?
Yes. We run parity validation and phased migration to avoid reporting disruption.
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