Exploring AI-Enhanced Incident Management and Reporting for Firefighters

Client

Redlab.ai

Role

Product Designer (UX Lead)

Project details

Timeline: January 2023 - Present

Team:

Problem

Writing incident reports for firefighters is not only time-consuming but also error-prone.

It considerably increases their work stress, which has an adverse effect on their psychological well-being and job performance.

Underlying Issue: Outdated reporting system

Its lengthy forms necessitate extensive responses. How much the firefighter remembers determines the report's accuracy. Inaccuracies can lead to legal consequences and reputational risks.

Solution

Advanced Incident Reporting System. Leverages deep learning and natural language processing (NLP) to analyze raw radio incident data, automatically extracting key details and summarizing the incident.

Generates a high-quality draft report, saving firefighters time and ensuring consistent reporting. After reviewing and making any necessary edits, firefighters can submit the final report with ease.

Opens doors to endless possibilities to leverage incident data for diverse report generation, performance enhancement, anomaly detection, etc.

Project Overview

(2 mins) Everything you need to know about this project.

Impact

Project Scope:

+ 50 %

User interviews with 8 firefighters revealed this could accelerate their incident report generation by at least

Individual Impact:

+ team expansion

Led to addition of the data science team, to further research and develop the concept MVP

Final Deliverable

Project Status

Currently our multidisciplinary UX and data science teams are collaboratively addressing domain-specific challenges in the tool development.

We are focusing on efficiently training state-of-the-art models to process raw incident radio data. We are collaborating with the Indy Fire Dept. to create incident datasets from real data after masking and scrubbing. I developed the prototype and am testing it with firefighters and subject matter experts (SMEs).

Present Key objectives

Design validation and identify specific user needs within this integrated platform

Studying users (firefighters) psychology—How do they use/interact with the product prototype?

Create new incident report

View incident details

Run firegen analysis

Diverse report generation using AI chat interface

Introducing novel keyword categorization

Response change history (idea)

Curious about the journey? Let’s dive deeper

Spent 2 years obsessing over hyper-detailed case studies, but honestly, there's no perfect balance—everyone's questions and needs vary by role and perspective. This showcase is merely a glimpse; the true essence lies in the journey itself. If you're intrigued, let's chat for 15 minutes—I’ll happily share insights, challenges, and even some juicy gossip from behind the scenes.

Let’s talk