From gut‑feel to data‑driven in weeks — not quarters.
We work with product leads across time zones — from charter to continuous delivery asynchronously but in sync.
Most teams ship features and hope they work. Often drowning in vanity metrics as a side effect.
The Data Guy: Turn hope into evidence
Visibility
One source of truth for user behaviour. Team asks better questions, timely.
Draft & approve tracking plan
Integrate SDKs, tag events; QA for accuracy
Learning Velocity
Hypothesis-to-results in ≤ 2 weeks. Stats‑sound A/B tests, not vague guess-timates.
Run, analyse, share next steps
Design A/B tests with guard‑rail metrics
Product ROI
Ship features that show measurable uplift. Reduce wasted dev cycles & opportunity cost.
Feature‑flag SDK live
Accessibility & performance budgets enforced
Instrumentation to Insight Delivery. Experiment Acceleration to Actions.
Tracking Workshop
Single working session to lock success metrics
Bi-weekly Insight Huddle
A 45-min session to answer the “why(s)” & “so what(s)”
Experiment Retro
Every test closes with a decision and “next action”
Outcome for a client
25% more Lead Generation
with Data-led Insights
Data indicated users abandoned search on the product without contacting client agents. The right nudge was added to generate leads at the moment of interest.
Evidence over Opinion
Ops you can trust.
CI hooks, alerting, on‑call roster keep data pipelines healthy.
Open‑source first approach.
Looker‑style, Segment‑compatible, vendor‑agnostic.
Instrumented by engineers who ship.
Hypothesis-to-results in ≤ 2 weeks. Stats‑sound A/B tests, not vague.