How does this skill help with metric selection?

It utilizes the SMART framework and provides pre-defined libraries of essential metrics for Sales, Marketing, Product, and Finance to ensure your KPIs are relevant and measurable.

Can I use this for real-time monitoring?

Absolutely. The skill includes specific layout patterns and status indicators designed for real-time operations centers and system health monitoring.

Does it include code for building the dashboards?

Yes, it provides optimized SQL queries for complex metrics like MRR and cohort retention, as well as Python implementation patterns using Streamlit and Plotly.

Who is the intended audience for these dashboards?

The skill provides patterns for three distinct levels: Strategic (Executives), Tactical (Department Managers), and Operational (Day-to-day teams).

KPI Dashboard Design

Name: KPI Dashboard Design
Author: EngineerWithAI

byEngineerWithAI

Analytics & Monitoring

Architects effective business performance dashboards using metric selection frameworks, visualization best practices, and real-time monitoring patterns.

About

The KPI Dashboard Design skill provides a comprehensive framework for building high-impact business intelligence interfaces. It guides users through the selection of SMART metrics, defines hierarchical dashboard structures for different audience levels (Strategic, Tactical, and Operational), and offers pre-built KPI libraries for departments like Sales, Marketing, Product, and Finance. Beyond conceptual design, it includes technical implementation patterns such as optimized SQL for MRR and cohort analysis, alongside Python/Streamlit code for rapid dashboard prototyping, ensuring that data visualizations translate directly into actionable business decisions.

Key Features

Multi-level KPI frameworks for Executive, Management, and Operational views
SMART metric selection and data governance guidelines
0 GitHub stars
Departmental KPI libraries for Sales, Marketing, Product, and Finance
Production-ready SQL calculation patterns and Python dashboard code
Pre-designed dashboard layout patterns for Executive, SaaS, and Real-time Ops

Use Cases

Building real-time operational monitoring systems for cloud infrastructure and SaaS metrics
Standardizing metric definitions and data visualization across departmental teams
Designing executive-level strategic performance dashboards for business stakeholders

About

Key Features

Multi-level KPI frameworks for Executive, Management, and Operational views
SMART metric selection and data governance guidelines
0 GitHub stars
Departmental KPI libraries for Sales, Marketing, Product, and Finance
Production-ready SQL calculation patterns and Python dashboard code
Pre-designed dashboard layout patterns for Executive, SaaS, and Real-time Ops

Use Cases

Building real-time operational monitoring systems for cloud infrastructure and SaaS metrics
Standardizing metric definitions and data visualization across departmental teams
Designing executive-level strategic performance dashboards for business stakeholders