Instrumentation planning
Analytics Foundation
A durable event taxonomy, measurement plan, and implementation guidance for teams building or rebuilding app analytics.
See what’s included ↗Independent app analytics practice · Bangkok
Make your app’s signals clear enough to act on.
We help product teams design dependable measurement, understand real user behaviour, and turn analysis into a practical next decision.
Bring us your measurement question ↗
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Focused projects and ongoing advisory for mobile and web app teams.
What we solve
Analytics should reduce uncertainty, not add another layer of noise.
Relay Flow Base works at the intersection of product thinking, implementation, and analysis. We untangle unreliable events, vague metrics, and dashboards that never quite answer the question behind them.
Our work leaves your team with stronger definitions, documented reasoning, and a measurement practice they can continue without us.
Ways to work together
From clean foundations to sharper product learning.
Behaviour analysis
Funnel & Retention Review
A focused investigation into where people hesitate, leave, return, and build lasting habits in your app.
See what’s included ↗
Ongoing decision support
Embedded Analytics Advisory
Senior analytics guidance for teams that need a steady partner without hiring a full-time analytics lead.
See what’s included ↗“
We do not arrive with a pre-made dashboard. We clarify the product decision, inspect the evidence available, and build only what the team can use.
Our working principles
- 01Questions before tools
The question determines the method—not the platform menu.
- 02Trust before interpretation
We validate collection and definitions before drawing conclusions.
- 03Context before averages
Behaviour makes sense when journeys and constraints remain visible.
From the journal
Notes for healthier measurement.
An event taxonomy that survives product growth
How to make event names, properties, and ownership useful after the first release—without turning the plan into a tracking encyclopaedia.
Retention analysis beyond one number
A practical way to choose return behaviours, cohort windows, and segments that reflect how your app genuinely creates value.
A calm analytics QA routine before release
A repeatable pre-release check for event firing, identity, properties, consent, and edge cases across mobile apps.
A useful first conversation
Tell us the decision your data cannot support yet.
We’ll help frame the next step, whether that is an audit, a focused analysis, or a better measurement plan.
Discuss your app ↗