We needed one place where Sales could qualify leads, Service could run delivery, and leadership could see demand by geography, without jumping between spreadsheets. TrackEdu brings those workflows together and makes decisions visible.
Tanisha Kalra
Director - B2C Operations
We needed one place where Sales could qualify leads, Service could run delivery, and leadership could see demand by geography, without jumping between spreadsheets. TrackEdu brings those workflows together and makes decisions visible.
Tanisha Kalra
Director - B2C Operations
Leverage Edu supports students going abroad; internally, teams were juggling leads, statuses, and commercial packages across tools. We designed and built a single web application where Admin, Service, and Sales each get views that match how they work - while sharing one student and lead record. The product layer we’re highlighting here is operational clarity: who owns the lead, what happens next, and how demand looks across India when you filter by time range.
Leverage Edu supports students going abroad; internally, teams were juggling leads, statuses, and commercial packages across tools. We designed and built a single web application where Admin, Service, and Sales each get views that match how they work - while sharing one student and lead record. The product layer we’re highlighting here is operational clarity: who owns the lead, what happens next, and how demand looks across India when you filter by time range.
From spreadsheets to a live operating picture
Two areas needed the most care. Geographic demand: Stakeholders wanted to see where leads come from, not just totals. We implemented an interactive India map built with D3 - state boundaries, city markers sized and coloured by volume, date-range filters, and a trend view so “this week vs last week” is obvious. The list groups states and the top-performing cities per state so field teams can prioritise quickly. Commercial configuration: Packages and services were maintained in sheets. We translated that into a matrix view - services as rows, packages as columns - with cost, price, and margin visible so changes are deliberate, not accidental.
UX focus: reduce cognitive load for power users - dense tables stay readable (sticky headers, clear hierarchy), map interactions stay fast, and role-specific paths avoid training-heavy navigation.
From spreadsheets to a live operating picture
Two areas needed the most care. Geographic demand: Stakeholders wanted to see where leads come from, not just totals. We implemented an interactive India map built with D3 - state boundaries, city markers sized and coloured by volume, date-range filters, and a trend view so “this week vs last week” is obvious. The list groups states and the top-performing cities per state so field teams can prioritise quickly. Commercial configuration: Packages and services were maintained in sheets. We translated that into a matrix view - services as rows, packages as columns - with cost, price, and margin visible so changes are deliberate, not accidental.
UX focus: reduce cognitive load for power users - dense tables stay readable (sticky headers, clear hierarchy), map interactions stay fast, and role-specific paths avoid training-heavy navigation.
What we’d do next
The foundation is role-aware workflows + shared data. Natural extensions are deeper analytics (conversion by stage), tighter CRM integrations, and server-backed persistence for production traffic - while keeping the map and matrix as the control surfaces teams already understand.
Stack notes: React 19, Vite, map via d3-geo / topojson-client, UI aligned with the existing design system.
What we’d do next
The foundation is role-aware workflows + shared data. Natural extensions are deeper analytics (conversion by stage), tighter CRM integrations, and server-backed persistence for production traffic - while keeping the map and matrix as the control surfaces teams already understand.
Stack notes: React 19, Vite, map via d3-geo / topojson-client, UI aligned with the existing design system.
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