Problem
Downtime AUX usage reporting was manual, slow, and difficult to review consistently across teams. Leaders needed a faster way to identify patterns, coach with context, and avoid rebuilding the same spreadsheet every week.
Turning Downtime AUX Reporting Into a Repeatable Workflow
This project focuses on a common operations problem: valuable reporting exists, but the useful coaching signal is buried inside manual exports. The tool is designed to turn recurring Nextiva Agent Activity reports into a repeatable workflow that highlights Downtime AUX usage by agent and Team Lead.
Role
Designed the workflow, defined the reporting logic, built the parsing approach, and shaped the output around how leaders actually review performance.
Audience
Call center leaders, team leads, and operations stakeholders
Stack
Python, openpyxl, SQLite, Spreadsheet exports, Automation
Downtime AUX usage reporting was manual, slow, and difficult to review consistently across teams. Leaders needed a faster way to identify patterns, coach with context, and avoid rebuilding the same spreadsheet every week.
Built a Python-based reporting process that parses exported activity reports, identifies AUX 23 usage, groups results by Team Lead, and produces cleaner weekly summaries that can be used for coaching and visibility.
Created a clearer workflow for accountability, coaching conversations, and leadership review. The biggest value is not just saving time, but making the same performance signal easier to find every week.
Build Process
The important part of each project is not only what was built, but how it fit the real workflow around it.
Reviewed the manual reporting flow and identified the repeated cleanup steps.
Mapped the fields needed from Nextiva Agent Activity exports.
Built parsing logic to isolate AUX 23 events and summarize usage.
Grouped output around Team Lead ownership so the report matches the coaching workflow.
Kept the format practical for weekly review instead of overbuilding a dashboard too early.
Next Steps
Add clearer exception handling for malformed exports.
Add trend comparison across multiple weeks.
Create a lightweight dashboard view after the reporting logic settles.
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