Workload Domain

Workload Domain Skill

What This Is

The workload tracker is a standalone web application for tracking team workload, scoring task complexity, and surfacing overload signals before they become problems. It was built inside rell-engine and has since been extracted as its own deployable product.

Locations:

• rell-eco/rell-engine/engine/workload_engine.py — Core engine
• rell-eco/rell-workload/ — Standalone deployment

Josefina Context

rell-workload/JOSEFINA_START_HERE.bat — The workload tracker was deployed for a specific user named Josefina. She is the primary day-to-day operator. The .bat file exists to make startup zero-friction for a non-technical operator.

When working on workload features, always consider:

• Non-technical operator UX (Josefina model: she should click one thing and it works)
• The tracker must be honest about overload — no softening the data
• Reports should be actionable, not just informational

Scoring System

The workload engine scores individual tasks and produces aggregate team load signals.

Config: rell-workload/config/scoring.json Team Roster: rell-workload/config/team-roster.json

Scoring factors include task complexity, priority, time sensitivity, and team member current load. Outputs a normalized score per assignment and a team-level load index.

Stack

rell-workload/
├── run_web.py          ← Start the web server
├── engine/
│   ├── workload_engine.py   ← Core scoring logic
│   └── excel_parser.py      ← Intake from Excel files
├── web/
│   ├── workload_api.py      ← REST API
│   └── workload_pdf.py      ← PDF report generation
├── config/
│   ├── scoring.json         ← Scoring weights and thresholds
│   └── team-roster.json     ← Team members and capacity
├── data/intake/             ← Drop Excel files here
├── Dockerfile               ← Container deployment
└── fly.toml                 ← Fly.io production config

Run locally:

cd rell-eco/rell-workload
python run_web.py

Case Study Reference

The workload tracker was built as a case study for external validation of the RELL engine approach. See:

• rell-eco/docs/case-study_workload-tracker.md

Integration with Audit Engine

The workload tracker is also embedded inside rell-engine where it provides:

• Team load context during audit cycles
• Scoring configuration via data/workload/scoring_config.json
• Profiles via profiles/workload/workload-tracker.json and team-roster.json