Agent skill · magnus919
product-analytics-and-measurement
Define observable, governed evidence for product outcomes through metric trees, event/tracking plans, instrumentation QA, and measurement governance. Use when defining product metrics, designing tracking plans, building event taxonomies, running product funnels or cohort analysis, setting up dashboard contracts, or auditing instrumentation quality. Do NOT use for statistical inference or experiment design (route to data-scientist), data pipeline implementation (route to data-engineering), data architecture decisions (route to data-architect), observability or infrastructure monitoring (route to site-reliability-engineering), or general business intelligence and dashboard building (route to BI tooling).
What it needs
About 6k tokens when loaded.
What this skill does
Product Analytics and Measurement A dedicated operating method for turning intended product outcomes into observable, governed evidence. This skill covers the full measurement lifecycle: from defining what success looks like through metric trees and leading/lagging indicators, to specifying how that success is tracked through event taxonomies and tracking plans, to verifying that the instrumentation actually captures what it claims. Loading Guide Load this skill when the task involves any of: Trigger What to load --------- ------------- Define product outcomes, North Star, or success metrics SKILL.md + references/metric-tree.md Design an event taxonomy or tracking plan SKILL.md + templates/tracking-plan.md Audit or QA instrumentation quality SKILL.md + templates/instrumentation-qa-checklist.md Build product funnels, path analysis, or cohort definitions SKILL.md + references/metric-tree.md Set up a dashboard contract or measurement governance SKILL.md + templates/outcome-review.md Resolve conflicting metric definitions across teams SKILL.md + references/discovery-brief.md (ownership boundaries) Design a privacy-aware measurement strategy SKILL.md When to Use You need to define measurable outcomes, metric trees, and leading/lagging indicators for a product (SaaS, internal tool, public service, or consumer). You need a tracking plan that specifies events, properties, identity resolution, session boundaries, data quality rules, and ownership. You need to verify that existing instrumentation produces trustworthy data. You need a dashboard contract that pins metric definitions, sources, refresh cadences, and ownership. You need a product outcome review cadence that ties measurements back to decisions. When Not to Use This skill does not replace: Data architecture — schema design, storage selection, data modeling at the infrastructure level belong to ../data-architect/SKILL.md. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills magnus919/product-analytics-and-measurement