Operational Metrics Dashboard

Setting the scene

When leadership needed operational metrics, someone had to go pull the data from multiple systems, assemble it in a spreadsheet, and put together a report. This process was slow, manual, and meant that the numbers leadership saw were always slightly stale. Questions during meetings often required follow-up because the data was not at hand.

Team leads were spending time compiling reports rather than acting on the insights. The metrics infrastructure was reactive: leadership had to ask for numbers instead of having them available on demand.

How we thought about it

The team built a centralized leadership dashboard (the "Ops Command Center") that replaced manual data pulls with real-time views of team workload, project health, and operational performance. The dashboard was designed with input from team leads so the metrics answer the questions leadership actually asks.

Behind the dashboard, n8n automations track all Jira requests, calculate their metrics, and send results to a Google Sheets database. A separate workflow tracks client meeting time and communication patterns. The Replit-hosted app serves as the UI layer on top of this data, giving leadership deep-dive views across approvals, QA, speed-to-launch, audits, anomalies, and more.

What it looks like

Ops Command Center dashboard showing approvals deep dive with volume and speed trends

The Ops Command Center: a Replit-hosted dashboard with deep-dive views across approvals, QA, speed-to-launch, audits, anomalies, and more. Sidebar navigation gives leadership self-serve access to every operational metric.

n8n automation workflow tracking Jira tickets and calculating metrics

The n8n automation that tracks all Jira requests, calculates their metrics, and updates the database for raw and monthly summaries.

n8n workflow calculating client meeting time week over week

A separate n8n workflow that calculates how much time client teams spend in meetings week-over-week, enriching the leadership view with communication insights.

Prompt Repository

How to replicate this

"Build an operational metrics dashboard for leadership that shows real-time team workload, project health, and performance metrics. Connect it to our existing data sources so it updates automatically. Design the views based on the questions leadership actually asks in reviews: How is the team loaded? What projects are at risk? Where are the bottlenecks? What are the trends over the last quarter? Use n8n to automate data collection from Jira (tracking all requests and calculating metrics like processing speed and volume) and Google Calendar (tracking client meeting time). Store results in Google Sheets as the database layer. Build a Replit app as the UI with deep-dive views by category. The dashboard should eliminate the need for anyone to manually pull and assemble data for reports."

The prompt above is a starting point, not a one-shot solution. The actual build required multiple iterations: refining instructions based on output, uploading reference documents for context, mapping the right tooling and integrations, and working through edge cases. Treat this as the brief that kicks off the conversation, not the conversation itself.

What we achieved

The Ops Command Center replaced manual data pulls and spreadsheet-based reporting with real-time views that leadership can access on demand. Team leads no longer spend time compiling reports, and leadership no longer has to wait for numbers. The dashboard surfaces the metrics that matter for operational decisions and updates automatically from the source systems. Deep-dive views across approvals, QA, speed-to-launch, audits, and anomalies give leadership self-serve access to every operational metric without requesting a report.