What industries or departments is this best suited for?

It includes specialized frameworks for Sales, Marketing, Product, Finance, and IT Operations, making it versatile for any data-driven business unit.

Does it include frontend implementation code?

Yes, it provides ready-to-use Python code snippets for building interactive dashboards using popular libraries like Streamlit and Plotly.

What kind of KPI calculations does this skill support?

The skill provides optimized SQL queries for essential business metrics including Monthly Recurring Revenue (MRR), Customer Acquisition Cost (CAC), and Cohort Retention analysis.

How does this help with dashboard organization?

The skill provides a Dashboard Hierarchy framework that organizes data into Executive Summaries, Department Views, and Detailed Drilldowns for better usability.

KPI Dashboard Design

Name: KPI Dashboard Design
Author: as4584

byas4584

0•

Analytics & Monitoring

Designs effective business dashboards with metrics selection, visualization best practices, and implementation patterns.

This skill empowers Claude to architect high-impact business intelligence interfaces by providing structured frameworks for strategic, tactical, and operational dashboards. It includes a comprehensive library of domain-specific KPIs for Sales, Marketing, Product, and Finance, paired with optimized SQL snippets for complex calculations like MRR and Cohort Retention. Whether you are building real-time monitoring displays or executive summaries, this skill offers the layout patterns and Python implementation templates needed to transform raw data into actionable business insights.

Key Features

01SMART metric validation and governance frameworks

020 GitHub stars

03Optimized SQL queries for calculating MRR, Churn, and Cohort Retention

04Department-specific KPI libraries for Sales, Marketing, Product, and Finance

05Ready-to-use Streamlit and Plotly Python implementation templates

06Standardized dashboard layout patterns for Executive and SaaS views

Use Cases

01Selecting and calculating industry-standard SaaS metrics for product growth

02Architecting real-time system health and operational monitoring displays

03Designing executive-level strategic dashboards for C-suite performance reporting

Key Features

01SMART metric validation and governance frameworks

020 GitHub stars

03Optimized SQL queries for calculating MRR, Churn, and Cohort Retention

04Department-specific KPI libraries for Sales, Marketing, Product, and Finance

05Ready-to-use Streamlit and Plotly Python implementation templates

06Standardized dashboard layout patterns for Executive and SaaS views

Use Cases

01Selecting and calculating industry-standard SaaS metrics for product growth

02Architecting real-time system health and operational monitoring displays

03Designing executive-level strategic dashboards for C-suite performance reporting