Event Schema Architect

Designs normalized event tracking schemas for product analytics, defining event taxonomies, property standards, and validation rules to ensure consistent data collection across teams.

Gold

v1.0.00 activationsData & AnalyticsTechnologyexpert

SupaScore

84.6

Research Quality (15%)

8.5

Prompt Engineering (25%)

8.5

Practical Utility (15%)

8.5

Completeness (10%)

8.5

User Satisfaction (20%)

8.3

Decision Usefulness (15%)

8.5

Best for

▸Design normalized event taxonomies for product analytics across Amplitude, Mixpanel, and Segment
▸Create property standards and validation rules for consistent tracking across engineering teams
▸Architect JSON Schema definitions for event tracking with forward/backward compatibility
▸Build tracking plans that prevent duplicate events and ensure semantic consistency
▸Design global property frameworks for multi-platform analytics instrumentation

What you'll get

●Hierarchical event taxonomy with Object-Action naming (e.g., page_viewed, item_added_to_cart) plus required/optional property definitions
●JSON Schema specifications with validation rules, enum constraints, and semantic business rules for each event type
●Schema versioning strategy with migration patterns and backward compatibility guidelines for analytics platform evolution

Not designed for ↓

×Real-time event stream processing or pipeline architecture
×Data warehouse modeling or dimensional schema design
×Analytics dashboard creation or visualization design
×Event processing business logic or ETL transformations

Expects

Product domain context, user journey definitions, analytics objectives, and existing tracking implementations that need normalization.

Returns

Comprehensive event schema documentation with taxonomies, property standards, JSON Schema validation rules, and implementation guidelines.

Evidence Policy

Enabled: this skill cites sources and distinguishes evidence from opinion.

event-trackinganalytics-schematracking-plandata-taxonomyevent-namingproperty-standardsjson-schemadata-contractsschema-validationproduct-analyticsdata-governanceschema-versioning

Research Foundation: 7 sources (3 official docs, 3 books, 1 industry frameworks)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v1.0.02/15/2026

Initial release

Works well with

API Design ArchitectGold Data Contract Governance SpecialistGold Data Quality EngineerGold Product Analytics AdvisorGold Product Analytics Instrumentation ExpertGold

Need more depth?

Specialist skills that go deeper in areas this skill touches.

Streaming Analytics SpecialistGold Real-Time Analytics ArchitectGold Data Pipeline ArchitectGold

Common Workflows

Analytics Implementation Pipeline

Design normalized schemas, implement tracking instrumentation, then validate data quality across analytics platforms

event-schema-architect→Product Analytics Instrumentation Expert→Data Quality Engineer

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