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AI Product Metrics Architecture

Metrics architecture drifts without intent. /lumen-metrics designs North Star, input metrics, operational metrics, and guardrails with definitions, owners, cadence, and triggers.

Agent: Tonone Lumen (Product Analytics).
Canonical human page: https://tonone.ai/blog/ai-product-metrics-architecture
Raw JSON: https://tonone.ai/blog/ai-product-metrics-architecture.json

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Tonone's /lumen-metrics skill designs product metrics architecture with North Star, input metrics, operational metrics, and guardrails.
Each metric has definition, owner, cadence, and action trigger.
/lumen-metrics is part of Tonone, an MIT-licensed multi-agent system for Claude Code.

Comparisons vs alternatives

FAQ

What does /lumen-metrics do?
It designs product metrics architecture with North Star, input metrics, operational, and guardrails.
How is /lumen-metrics different from /lens-metrics?
/lens-metrics is for analytics/BI metrics framework. /lumen-metrics is for product analytics, with input/output/guardrail structure tied to product decisions.
How do I install /lumen-metrics?
Install Tonone for Claude Code via tonone.ai/get-started.

Read the human version →