metrics-dashboard

Designs product metrics dashboards with KPIs, data sources, visualizations, and alert thresholds.

Updated Aug 10, 2026
One-click install
npx skills add https://github.com/Choi-Keith/skill-arsenal-ultra --skill metrics-dashboard-choi-keith
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: metrics-dashboard
Source: https://github.com/Choi-Keith/skill-arsenal-ultra/tree/main/plugins/pm-skills/pm-product-discovery/skills/metrics-dashboard
Command: npx skills add https://github.com/Choi-Keith/skill-arsenal-ultra --skill metrics-dashboard-choi-keith

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Product teams often track too many vanity metrics or lack a structured measurement system, making it hard to know whether the product is actually succeeding. This Skill guides the design of a complete product metrics dashboard with the right indicators, targets, and alerting rules. ## Core Features & Use Cases - Layered Metric Framework: Organizes metrics into a North Star Metric, input metrics, health metrics, and business metrics. - Metric Specification Tables: Defines each metric's calculation, data source, visualization type, target value, and alert threshold. - Review Cadence & Alerting: Establishes daily, weekly, monthly, and quarterly review rhythms plus escalation rules for threshold breaches. - Use Case: A PM launching a new feature can use this Skill to define the North Star Metric, pick 3-5 input metrics that drive it, set alert thresholds, and produce a dashboard specification document ready to hand to an analytics engineer. ## Quick Start Ask the AI to design a metrics dashboard for your product, providing any existing OKRs, analytics data, or strategy documents as context.

Frequently Asked Questions about metrics-dashboard

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design a product metrics dashboard?

Start by defining a North Star Metric that captures core value delivery, then select 3-5 input metrics that drive it, plus health and business metrics. For each metric, specify the calculation, data source, visualization type, target, and alert threshold.

What is the difference between metrics, KPIs, and a North Star Metric?

Metrics are everything measurable, KPIs are the few key quantitative indicators tracked over longer periods, and a North Star Metric is a single customer-centric KPI that serves as a leading indicator of business success.

What makes a good product metric?

A good metric is understandable, comparable across time, expressed as a ratio or rate, and capable of changing behavior. If a metric would not change what you do, it is a bad metric and likely a vanity metric.

Which tools should I use for product analytics dashboards?

Amplitude, Mixpanel, and PostHog suit product analytics; Looker, Metabase, and Mode work for SQL-based dashboards; Datadog and Grafana cover operational health monitoring. Choose based on your data stack and team needs.

How often should product metrics be reviewed?

Review operational health daily, input metrics and engagement trends weekly, North Star and business metrics monthly, and conduct strategic recalibration of the metric framework quarterly.