FieldOps Analytics OS
An operations dashboard for field-service teams — jobs, technicians, and performance in one place instead of a whiteboard and three spreadsheets.
FieldOps Analytics OS is a self-initiated product — designed, built, and deployed by me to prove out exactly this kind of system. It runs on seeded demo data. It is not a paid client project.
Overview
FieldOps is a self-initiated product I designed, built, and deployed end to end as the proof piece of my portfolio. It implements the exact playbook I bring to client work: take an operations workflow that lives in spreadsheets, give it a proper data model, and put a calm dashboard on top. Everything below describes the working build, which runs on seeded demo data.
The problem
Field-service coordinators run the day from a whiteboard and scattered updates: which jobs are open, who's overloaded, what actually got done this week. The information exists — in texts, job sheets, and a spreadsheet — but assembling it costs the evening, and the weekly report is built by hand every Friday.
The solution
A job-centric dashboard: every job carries a status and an assignee, technicians get workload views, and the week's performance aggregates itself from the underlying data. Filters answer the real operational questions — what's overdue, who's free — and a one-click CSV export replaces the hand-built weekly report.
Key features
Job status board
Every job with status, assignee, and due date — filterable by technician, status, and date range.
Technician workload
Open and completed jobs per technician, so dispatch decisions stop being guesswork.
Performance metrics
Completion rates and weekly throughput aggregated automatically from job data.
Weekly report export
The Friday report as one click of CSV, shaped for a spreadsheet-native manager.
Search & filters
Find any job fast — when the dashboard is the source of truth, lookup speed matters.
Responsive layout
Readable on the office laptop and on smaller screens between site visits.
Business value
- The coordinator's evening assembly ritual becomes a glance at a live board.
- Overload gets visible before the schedule breaks, not after the missed job.
- Weekly reporting drops from an hour of copy-paste to one export.
- A shared board means 'what's the status?' is answered by a link, not another manual update.
What I built
- The full build, end to end: data model, dashboard UI, aggregation logic, CSV export, and deployment.
- Status and filtering mechanics tuned for how a dispatcher actually scans a board.
- A seeded demo dataset that exercises the edge cases — overdue jobs, idle technicians, heavy weeks.
- The design language this portfolio shares: dense tables, calm charts, no dashboard theater.
Lessons learned
- Aggregation logic belongs in one tested layer — scattering metric math across components breeds contradictory numbers.
- Empty and edge states are the real UI work; a dashboard is judged on its worst data day.
- Building for a non-technical dispatcher forces plain-language labels — jargon is a bug.
Future improvements
- Role-based auth separating coordinator and technician views.
- A technician-facing mobile view for status updates from the field.
- Notification hooks for overdue and unassigned jobs.
- Scheduled weekly report emails.
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Read the build planWant a system like this behind your business?
Describe how the work happens today — spreadsheet, inbox, whiteboard — in a message on the platform where you found this portfolio, and I’ll come back with an honest scope: what to build first, and what it takes.