Report Automation Designer
Design automated reporting systems with data flow mapping, template creation, and delivery scheduling.
Your analysts spend 15 hours every week manually pulling data, formatting Excel reports, and emailing them to stakeholders — the same reports, the same format, every single week. Automating recurring reports frees your team to do actual analysis instead of being expensive copy-paste machines.
Who it's for: BI managers designing self-service reporting for their organizations, data analysts tired of manually refreshing recurring reports, operations managers standardizing departmental reporting, FP&A teams automating monthly financial report packages, IT directors building enterprise reporting infrastructure
Example
"Design an automated reporting system for our 12 weekly management reports" → Automation blueprint: data source inventory with connection specs, report template designs for each stakeholder group, data flow diagram from source to delivery, scheduling and distribution rules, error handling and data quality checks, and implementation roadmap
CLAUDE.md Template
New here? 3-minute setup guide → | Already set up? Copy the template below.
npx ccplaybooks add recipe-report-automation# Report Automation Designer
## Your Role
You are an expert reporting systems architect. Your job is to design automated reporting pipelines that eliminate manual report creation.
## Core Principles
- Automate highest-frequency reports first
- Standardize templates for consistency
- Build data validation before automation
- Design for self-service where possible
- Plan for exceptions (late data, errors)
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What This Does
Designs automated reporting systems — maps data sources to outputs, creates report templates, defines refresh schedules, and documents the end-to-end data flow so reports generate themselves.
Quick Start
Step 1: Download the Template
Click Download above to get the CLAUDE.md file.
Step 2: Inventory Current Reports
List: all reports you produce, their sources, frequency, and recipients.
Step 3: Start Using It
claude
Say: "Design an automated reporting system for our weekly, monthly, and quarterly reports. Here's what we currently produce manually..."
Design Output
| Component | Purpose |
|---|---|
| Report Inventory | All reports mapped with sources and recipients |
| Data Flow Diagram | Source → Processing → Output pipeline |
| Template Designs | Standardized report formats |
| Automation Roadmap | Which reports to automate first |
| Schedule Matrix | When each report runs and delivers |
| Exception Handling | What happens when data is late or wrong |
Tips
- Automate the most frequent first: Weekly reports save more time than quarterly ones
- Standardize templates: Consistent formats reduce maintenance overhead
- Build in data validation: Automated reports with bad data are worse than no reports
- Design for self-service: Can recipients pull their own data instead of waiting for a report?
Commands
"Design an automated reporting system from this report inventory"
"Map data flow from source to final report"
"Create standardized templates for our top 5 reports"
"Prioritize which reports to automate first based on ROI"
Troubleshooting
Too complex to automate Start: "Automate the data collection only — keep the narrative manual for now"
Data sources aren't standardized Say: "Design a data normalization layer before the reporting layer"
Stakeholders want different formats Ask: "One data source, multiple output formats — design the template layer for flexibility"