Design
Analytics Blueprint
Turn product and growth questions into an implementation-ready analytics system before code hardens around weak assumptions.
Discuss this engagement
Why this work
What changes after the engagement.
- A shared KPI tree tied to commercial and user value
- Platform-neutral event taxonomy and governance rules
- Clear identity, consent, and attribution decisions
- Implementation sequencing for iOS, Android, backend, and BI
Approach
Deep enough to be useful. Bounded enough to finish.
We begin with the decisions your teams need to make—not with a vendor’s default schema. Workshops establish the product model, lifecycle stages, growth loops, revenue mechanics, and regulatory constraints relevant to Thailand and your wider markets.
From those questions, we define a concise event and property model, naming conventions, identity transitions, campaign parameters, data ownership, and acceptance tests. The blueprint remains portable whether you use Firebase, Amplitude, Mixpanel, AppsFlyer, Adjust, Segment, or a warehouse-first stack.
Engineering receives specifications detailed enough to estimate and implement. Product and growth receive a measurement model they can explain, challenge, and maintain.
You receive
Tangible working material.
- 01Business question inventory and KPI tree
- 02Event taxonomy with property definitions
- 03User identity and session rules
- 04Attribution and deep-linking requirements
- 05QA acceptance criteria
- 06Phased implementation roadmap
Fit check
Tell us what your team needs to decide.
We reply within two business days with useful next questions and, when appropriate, a suggested scope.
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