How does it handle data quality?

It includes a mandatory data architecture phase that documents source mapping, extraction methods, and transformation logic, while enforcing checks for completeness, accuracy, and timeliness.

Can it detect performance anomalies?

Yes, the workflow includes specific steps for defining anomaly thresholds and analysis to ensure the resulting dashboards highlight significant deviations automatically.

Does this skill help with metric definitions?

Yes, it enforces a KPI Definition Standard that requires clear names, precise formulas, units of measurement, targets, and identified owners for every metric.

What types of dashboards can I build with this skill?

The skill supports Executive, Operational, Departmental, and Board-level dashboards, providing specific guidance for the unique audience and strategic focus of each type.

Metrics Dashboard Workflow

Name: Metrics Dashboard Workflow
Author: LerianStudio

byLerianStudio

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Analytics & Monitoring

Designs and implements professional KPI dashboards with rigorous metric definitions, data lineage mapping, and anomaly detection.

About

The Metrics Dashboard skill provides a structured, five-phase framework for creating high-integrity business and technical dashboards. It guides users through requirement gathering, precise KPI methodology design, data architecture mapping, and visualization specifications. By enforcing strict documentation of formulas and data lineage, this skill ensures that dashboards are not only visually effective but also reliable, audit-ready, and actionable for stakeholders ranging from departmental managers to the C-suite.

Key Features

17 GitHub stars
Automated dispatch to specialized metrics-analyst agents
Standardized KPI definition framework including formulas and ownership
Integrated anomaly detection and threshold setting
Comprehensive data source mapping and lineage documentation
Structured 5-phase workflow from requirements to validation

Use Cases

Designing operational metrics trackers for departmental monitoring
Developing executive-level financial and strategic performance dashboards
Standardizing KPI definitions and data quality checks across an organization

About

Key Features

17 GitHub stars
Automated dispatch to specialized metrics-analyst agents
Standardized KPI definition framework including formulas and ownership
Integrated anomaly detection and threshold setting
Comprehensive data source mapping and lineage documentation
Structured 5-phase workflow from requirements to validation

Use Cases

Designing operational metrics trackers for departmental monitoring
Developing executive-level financial and strategic performance dashboards
Standardizing KPI definitions and data quality checks across an organization