RescueSignal

Every Rescue Begins With Someone Who Wants to Help

When someone sees an injured dog by the roadside, the instinct is immediate: send a message. But vague locations, missing context, duplicate reports, and fast-moving group conversations can delay the help that follows. RescueSignal began with a simple observation: the intention to help is immediate, but the information needed to coordinate that help often isn’t.

The Challenge

Across India, volunteers, NGO coordinators, feeders, veterinarians, and citizens often coordinate rescues through WhatsApp groups, calls, Instagram messages, and Facebook posts. These tools are useful for communication, but not emergency coordination. Reports can arrive with vague locations, unclear photos, missing contact details, and duplicate submissions—so responders spend valuable time validating information before they can begin a rescue.

Understanding the Rescue Ecosystem

I interviewed rescuers, NGO coordinators, volunteers, and citizens who regularly report injured stray animals. I mapped rescue journeys, synthesized recurring patterns, and explored where communication broke down. Three systemic gaps emerged: reports often lacked essential information; coordination spread across disconnected conversations; and reporters lost visibility once a report was submitted.

The AHA Moment

I initially assumed rescue delays were primarily a resource problem: more volunteers, ambulances, or funding. Research showed that many delays occurred before rescuers had even left. The highest-leverage bottleneck was the quality of the first report. This reframed the project around reducing delays and information gaps in access to timely help for stray animals in Indian cities.

Designing RescueSignal

RescueSignal is a web-based reporting and coordination platform that guides citizens through a reporting experience designed around responders’ actual needs. It captures live location, two photos, optional video, injury severity, nearby landmarks, and whether the reporter can stay. If they cannot, a watcher can be assigned so responders still have someone to coordinate with.

One incident becomes one case

Each submission becomes a structured rescue case. Responders can see cases waiting to be claimed, claimed rescues, live updates, and progress. Potential duplicates are grouped for review while responders retain the final decision.

Keeping everyone informed

Reporters can add updates if an animal moves or its condition changes, while responders update rescue progress in real time. This creates shared understanding instead of fragmented conversations.

Designing Through Evidence

Moderated usability sessions with 10 participants—five reporters and five responders—evaluated eight core tasks across five hours of testing. Participants found the structured reporting flow easy to follow. The key learning was not that users wanted fewer questions, but that they valued understanding why each piece of information mattered.

Pretotyping experiments

A Fake Front Door landing page attracted 51 unique visitors and 14 waitlist sign-ups, a 27% conversion rate. A Pinocchio reporting flow showed that every participant could complete a structured report in about 3.5 minutes. A Wizard of Oz duplicate-review test found responders welcomed recommendations only when clear evidence explained why reports appeared related.

Outcome & Reflection

RescueSignal transforms fragmented rescue requests into structured, trackable rescue cases. It demonstrates that meaningful improvements do not always require more resources—sometimes they begin by improving the information people already share. The project changed how I approach product and service design: research is valuable not because it validates ideas, but because it changes them.

Looking Ahead

Next steps include real-world pilots with local NGOs and rescue organizations, AI-assisted duplicate detection, veterinary-clinic integration, transport coordination, offline reporting for low-connectivity areas, and analytics that help organizations identify rescue hotspots. The aim is not to replace existing rescue ecosystems, but to strengthen them—one better report at a time.