business-analytics
Business metrics analysis, KPI tracking, financial reporting, and data-driven decision making
View on GitHubTable of content
Business metrics analysis, KPI tracking, financial reporting, and data-driven decision making
Installation
npx claude-plugins install @wshobson/claude-code-workflows/business-analytics
Contents
Folders: agents, skills
Included Skills
This plugin includes 2 skill definitions:
data-storytelling
Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
View skill definition
Data Storytelling
Transform raw data into compelling narratives that drive decisions and inspire action.
When to Use This Skill
- Presenting analytics to executives
- Creating quarterly business reviews
- Building investor presentations
- Writing data-driven reports
- Communicating insights to non-technical audiences
- Making recommendations based on data
Core Concepts
1. Story Structure
Setup → Conflict → Resolution
Setup: Context and baseline
Conflict: The problem or opportunity
Resolution: Insights and recommendations
2. Narrative Arc
1. Hook: Grab attention with surprising insight
2. Context: Establish the baseline
3. Rising Action: Build through data points
4. Climax: The key insight
5. Resolution: Recommendations
6. Call to Action: Next steps
3. Three Pillars
| Pillar | Purpose | Components |
|---|---|---|
| Data | Evidence | Numbers, trends, comparisons |
| Narrative | Meaning | Context, causation, implications |
| Visuals | Clarity | Charts, diagrams, highlights |
Story Frameworks
Framework 1: The Problem-Solution Story
# Customer Churn Analysis
## The Hook
"We're losing $2.4M annually to preventable churn."
## The Context
- Current churn rate: 8.5% (industry average: 5%)
- Average customer lifetime value: $4,800
- 500 customers churned last quarter
## The Problem
Analysis of churned cus
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</details>
### kpi-dashboard-design
> Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data visualization layouts.
<details>
<summary>View skill definition</summary>
# KPI Dashboard Design
Comprehensive patterns for designing effective Key Performance Indicator (KPI) dashboards that drive business decisions.
## When to Use This Skill
- Designing executive dashboards
- Selecting meaningful KPIs
- Building real-time monitoring displays
- Creating department-specific metrics views
- Improving existing dashboard layouts
- Establishing metric governance
## Core Concepts
### 1. KPI Framework
| Level | Focus | Update Frequency | Audience |
| --------------- | ---------------- | ----------------- | ---------- |
| **Strategic** | Long-term goals | Monthly/Quarterly | Executives |
| **Tactical** | Department goals | Weekly/Monthly | Managers |
| **Operational** | Day-to-day | Real-time/Daily | Teams |
### 2. SMART KPIs
Specific: Clear definition Measurable: Quantifiable Achievable: Realistic targets Relevant: Aligned to goals Time-bound: Defined period
### 3. Dashboard Hierarchy
├── Executive Summary (1 page) │ ├── 4-6 headline KPIs │ ├── Trend indicators │ └── Key alerts ├── Department Views │ ├── Sales Dashboard │ ├── Marketing Dashboard │ ├── Operations Dashboard │ └── Finance Dashboard └── Detailed Drilldowns ├── Individual metrics └── Root cause analysis
## Common KPIs by Department
### Sales KPIs
```yaml
Revenue Metrics:
- Monthly Recurring Revenue (MRR)
- Annual Recurring Revenue (ARR)
- Average Revenue Per User (ARPU)
- Revenue Growth
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</details>
## Source
[View on GitHub](https://github.com/wshobson/agents)