pseo / revenue-workflow

Weekly Revenue Report Automation.

How to replace manual weekly revenue reporting with a workflow that shows leads, follow-up, deals, and stuck work.

Weekly Revenue Report Automation

Weekly revenue reporting should show where money is moving, where it is stuck, and who owns the next action. If the report is manually assembled every Friday, the workflow is already leaking attention.

What The Report Should Answer

A useful weekly revenue report answers:

  • how many new leads arrived
  • where they came from
  • how fast the first response happened
  • how many booked calls were created
  • which deals are stuck
  • which workflows failed
  • what follow-up is overdue
  • what changed compared with last week

The goal is not dashboards for decoration. The goal is operational visibility.

The Workflow

1. Pull data from the source CRM, forms, calendar, payment processor, spreadsheets, or email tools.

2. Normalize the records Make sure every lead or deal has source, owner, stage, value, date, and next action.

3. Flag stuck items Anything without owner, next step, or recent activity should be visible.

4. Send the report Deliver the weekly view to Slack, email, Notion, Airtable, or a dashboard.

5. Create follow-up tasks A report without action is just another document.

Why This Fits Revenue Workflow

Revenue Workflow is for manual work that touches money.

Weekly reporting touches money because founders make decisions from it. If the data is late, wrong, or manually patched together, the business reacts slowly.

Handover Artifacts

  • source map
  • workflow diagram
  • report template
  • automation rules
  • owner and stage definitions
  • test run
  • handover video

The before/after is measurable: time saved, fewer stuck records, faster follow-up, and clearer ownership.

Next Step

Use `/workflow-sprint` when the reporting workflow is important enough that manual assembly is costing time or revenue.

Next steps
About the author

Cyprian AaronsCommercial AI Engineer

Cyprian helps founders rescue, secure, deploy, and automate AI-built apps with production-grade engineering, launch systems, and AI integration.