automatedinfrastructure
Measure the product people actually use
We help Seoul product teams fix instrumentation, read funnels honestly, and agree on KPIs before the next roadmap review.
Request an analytics consultEvent instrumentation audit
Most teams already collect events. Few know whether those events answer activation, retention, or revenue questions. Our flagship audit maps what your application emits today, names what is missing, and leaves engineering with a fix backlog they can schedule.
Typical engagement runs two to three weeks and ends with a live handoff—not a PDF that sits unread.
See what the audit covers
Related work you can book
Informational pricing in KRW. Every engagement is scoped after a short discovery call.
Event instrumentation audit
A structured review of how your product emits events, names properties, and tracks user journeys across web and mobile.
From KRW 2,400,000Funnel and conversion review
Hands-on analysis of drop-off points from first open through activation, so product decisions rest on measured friction—not instinct.
From KRW 1,800,000KPI framework design
A shared metric language for product, growth, and leadership—definitions, ownership, and reporting cadence included.
From KRW 3,100,000Retention deep dive
Cohort-based retention analysis that separates one-time curiosity from lasting product habit.
From KRW 2,200,000What clients say after the numbers settle
Feedback from product leaders who booked a concrete deliverable—not a vague “analytics partnership.”
“They untangled three years of inconsistent event names in two weeks. Our activation report finally matches what product sees in the app.”
“The funnel review did not hand us vanity charts. It gave us three experiment briefs we could schedule the same sprint.”
“Office hours became the cheapest way to keep our KPI language honest without hiring a full analytics team yet.”
From the journal
Notes on instrumentation, funnels, and KPI rituals for application teams.
Naming events without chaos
A practical convention for event names that product and engineering can both live with—before your warehouse becomes a glossary of synonyms.
Reading funnels when samples are small
Early-stage products rarely have the volume for tidy statistical tests. Here is how to still learn from drop-off without inventing false certainty.
KPI meetings that end on time
Metric reviews fail when every chart is equally important. A shorter agenda with clearer owners changes the tone of the room.