Product Manager.

Control room staff previously monitored the network across several separate systems and data sources, reconciling them manually. The tool combines those sources into one view of current network state and developing incidents.

Staff can replan stock and crew directly from that view, rather than working out the change separately and entering it elsewhere. I worked with control room staff and management to define the requirements, then led the design, programming and systems engineering teams through delivery.

The app is intended for use by employees to assist passengers on their journeys — on the platform or at the ticket gates.

It includes journey planning, ticket prices, a live train map, live departures and disruption information. A companion content management system lets station and control staff update that information.

Notices — safety bulletins, union notices, speed restrictions, compliance updates — were posted on paper boards in depots, with no record of who had seen them.

The app displays the same notices on screens in the depot. Staff sign in using NFC, and each notice must be opened and marked as read, which creates a record of acknowledgement.

I was responsible for the design and delivery of the app, working with depot and safety teams to define the notice types and the sign-on flow.

On-the-day changes to train plans were communicated to customers and staff through different systems, at different times.

CEIS is a single system for communicating revised plans and timetables to both customers and staff.

My focus was on the handoff points in the process: where a plan changes, who is notified first, and in what order the information reaches each audience.

The dashboard was built to identify a specific pattern: more than one cancelled service in a row at the same stop, which isn’t visible from the timetable alone.

SID measures the real-time gap between services at each stop on the network and compares it to the timetable, alerting customer experience and control room staff when this happens. It runs on mobile and desktop.

The design work focused on surfacing that pattern clearly, separate from the wider list of individual delay and cancellation events.

Train arrival data and platform announcements for the same service had not previously been compared directly.

CIS pulls arrival times from two sources, Darwin and TRUST, and compares them against the platform audio announcement for each service, to check whether a change was communicated before the train’s original scheduled arrival.

The work involved reconciling two data sources that don’t always agree with each other, while keeping the comparison focused on communication timing rather than the discrepancy between the sources.