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Disaster App,
Real-time disaster response coordination platform

Disaster App — Enterprise Case Study

Emergency response coordination app that connects field teams, command centers, and the public during natural disasters and crisis events.

Client
Woyce
Enterprise
Engagement
Design + Build
Full delivery
Year
2024
Delivered
Team
Woyce
3 disciplines
Stack
React Native · Node.js
+ 5 more
Status
● Live
In production
🔒 app.woyce.ai/disaster-app
Disaster App – 1
Disaster App – 2
Disaster App – 3
Disaster App – 4
Disaster App – 5
Disaster App – 6
Disaster App – 7
Disaster App – 8
Dashboard
01 / 08
The outcomes

Three numbers that
tell the story upfront.

01Alert delivery
< 5s

Alert delivery to public

Emergency response coordination app that connects field teams, command centers, and the public during natural disasters …

02Field app
Offline-first

Field app works without connectivity

Emergency response coordination app that connects field teams, command centers, and the public during natural disasters …

03Citizens reached
100k+

Citizens reached in first deployment

Emergency response coordination app that connects field teams, command centers, and the public during natural disasters …

Want the full story? Keep scrolling for the problem we solved, what we built, and the results it delivered.
03 / 05
The problem

Before we got here,
here's what wasn't working.

Disaster App is a crisis coordination platform used by emergency management agencies during natural disasters. Field responders report incidents from mobile devices; command centers monitor situational awareness on a live map; the public receives geo-targeted alerts.

“Field devices operating in areas with no internet connectivity”
— A core challenge we solved

We confirmed every challenge with the team before writing a line of production code. The right column lists the pain points we tackled head-on and how we approached each one.

What wasn't working

BEFORE

Field devices operating in areas with no internet connectivity

Implemented offline-first data sync using SQLite on device with background sync via service worker when connectivity is restored.

#1
What they came to us with“We need this solved. Can you help?”
03b / 05
Our approach

Don't over-engineer.
Solve what matters, ship fast.

The instinct on complex projects is to rebuild everything from scratch. We pushed back. A full rewrite often means months of regressions while engineering rebuilds features that were already working.

We mapped the existing workflow against actual usage. The result was clear: a small set of features accounted for the majority of user time. We rebuilt the core, shipped fast, and extended outward.

Operating principleSolve the highest-leverage problems first. Validate before building. Ship a v1 that proves the concept, then iterate — rather than waiting for a perfect v1 that never ships.

On the technical side, we made clear decisions early and held them. The right column shows what we chose, and why.

4 decisions we made early

CHOSEN / REJECTED
Decision 01

Live Incident Map — how we built it

Chose

Custom Live Incident Map — built for this product's exact needs and data model.

Rejected

Generic SaaS tool that would require heavy workarounds and compromise the user experience.

Decision 02

Field Reporting App — how we built it

Chose

Custom Field Reporting App — built for this product's exact needs and data model.

Rejected

Generic SaaS tool that would require heavy workarounds and compromise the user experience.

Decision 03

Geo-targeted Public Alerts — how we built it

Chose

Custom Geo-targeted Public Alerts — built for this product's exact needs and data model.

Rejected

Generic SaaS tool that would require heavy workarounds and compromise the user experience.

Decision 04

Resource Management — how we built it

Chose

Custom Resource Management — built for this product's exact needs and data model.

Rejected

Generic SaaS tool that would require heavy workarounds and compromise the user experience.

04 / 05
What we built

4 features that
define the product experience.

Every feature was scoped and shipped with the same priorities: speed, reliability, and staying out of the user's way.

Enterprise/Live Incident Map
Live Incident Map
LiveActive
IncidentRunning
MapReady
< 5s — Alert delivery to public
FEATURE 01

Live Incident Map

Real-time geo map showing all reported incidents, resource deployments, and affected zones.

< 5sAlert delivery to public
Enterprise/Field Reporting App
Field Reporting App
FieldActive
ReportingRunning
AppReady
Offline-first — Field app works without connectivity
FEATURE 02

Field Reporting App

Mobile app for field teams to submit incident reports, photos, and GPS coordinates offline-first.

Offline-firstField app works without connectivity
Enterprise/Geo-targeted Public Alerts
Geo-targeted Public Alerts
Geo-targetedActive
PublicRunning
AlertsReady
100k+ — Citizens reached in first deployment
FEATURE 03

Geo-targeted Public Alerts

Push notifications and SMS alerts sent only to citizens within a defined affected radius.

100k+Citizens reached in first deployment
Enterprise/Resource Management
Resource Management
ResourceActive
ManagementRunning
LayerReady
FEATURE 04

Resource Management

Track equipment, personnel, and supplies across multiple incident sites.

05 / 05
The outcome

What changed,
measured against the day-one baseline.

We benchmark before we touch anything, logging every metric below against its state before we wrote a line of production code.

Metric
Baseline
After Woyce
Alert delivery to publicDisaster App · Enterprise
Legacy
< 5s
Field app works without connectivityDisaster App · Enterprise
Legacy
Offline-first
Citizens reached in first deploymentDisaster App · Enterprise
Legacy
100k+
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