Product Engineering
Product analytics and growth instrumentation
Event taxonomy, dashboards, and growth experiments — done before launch, not after the post-mortem.
The problem
Sound familiar?
- 01Nobody knows what features are actually used.
- 02Events are added ad-hoc and named inconsistently.
- 03No experimentation framework — every change is a vibe.
What we deliver
Concrete outputs.
Event taxonomy and tracking plan reviewed by PM + Eng
Analytics SDK integration (Segment, PostHog, Amplitude, or Mixpanel)
Funnel and retention dashboards for the core journeys
Experimentation framework with assignment and stat-sig review
Product-KPI tree and weekly dashboard for leadership
Documentation: what to instrument, when, by whom
Methodology
How we run it.
Phase 1
Define
KPI tree, taxonomy, must-track events.
Phase 2
Instrument
SDK integration, dashboards, experimentation tooling.
Phase 3
Operate
Weekly review, experiment cadence, taxonomy stewardship.
Related capabilities
What pairs well with this.
- Product Engineering
End-to-end: design → build → deploy → scale
Discovery to launch under one roof — research, design, build, deploy, and measure. Available on the partnership model.
Read more - AI / GenAI Engineering
Data science and analytics
Pragmatic analytics and ML for business questions — not papers. Forecasting, classification, anomaly detection, and BI you can self-serve.
Read more - Product Engineering
Full-stack web (React, Next.js, Node, Python, Angular)
React and Next.js on the front, Node or Python on the back, AWS underneath — shipped in two-week sprints.
Read more
Get started
Ready to scope product analytics and growth instrumentation?
Book 30 minutes — we’ll tell you honestly whether the partnership model fits or whether an SOW is the better path.