Real time emergency platform
My Services:
Research,UX/UI design
Year:
2026




My Services:
Research,UX/UI design
Year:
2026




During crises, people are surrounded by information but still struggle to understand what actually matters. Alerts, updates, and data are scattered and poorly prioritised, making it difficult for users to quickly orient themselves and decide whether action is needed.
Pressure and uncertainty are the most important issues i have to solve, so my focus shifted to understanding how people behave during uncertainty. Stress, urgency, and low attention changed how information was consumed. People scanned quickly, trusted familiar signals, and avoided anything that felt complex.
Instead of “designing a website,” my goal became helping people move from uncertainty to action with minimal effort. This reframing prioritised clarity, order, and timing over feature depth.
• Surface the most critical information first
• Reduce interpretation by providing clear signals and direction
• Use familiar patterns and language to build trust quickly
• Avoid unnecessary detail that delays decision-making
• Design for scanning, not reading
Core questions shaped the work:
What do people need to understand immediately?
What can wait?
The impact the information has?
These questions were used to understand how people makedecisions in high-pressure moments, what information actually enables action, and how too much information creates hesitation instead of clarity. The focus was not on delivering more data, but on identifying what must be understood immediately for confident action to happen
People who affected by emergencies who need quick, reliable information to understand the situation around them and decide what to do next.
→ under stress
→ with limited attention
→ needing to make quick decisions
→ often relying on familiar sources over official ones
This includes residents, families, and individuals who are not looking to analyze data, but to understand what matters now.
Since i had clear idea of what need to be build and doing few sketches i went to create a detailed prompt with help of perplexity , Gemini and Chatgpt. And used Figma make and aura build to create the designs.
In this version i focused only on mapping all critical information onto a single screen to understand scope, coverage, and relationships between alerts, environment data, and resources. The goal was to develop a complete picture before refining priority and focus
After getting reviews from the users i moved to 2nd iteration.
In this stage my goal was to reduce noise and clarify priority to help users recognize what matters most at a glance.
Goals
• Improve scanability
• Reduce decision friction
Key changes
• Clearer severity cues
• Better grouping
• Lower visual competition
In this version i focused on mapping all critical information onto a single screen to understand scope, coverage, and relationships between alerts, environment data, and resources. The goal was to develop a complete picture before refining priority and focus
Last Push
After completing the second iteration and sharing the prototype for feedback, most responses were positive. The overall structure felt clear and the information supported confident decision making. However, the feedback also highlighted that the design still needed a final layer of refinement.
What was still missing
• Faster recognition when multiple alerts appeared at the same time
• Less effort required to compare urgency across updates
• stronger sense of community support beyond individual safety
Key changes
• Improved alert scanability
• Added support oriented elements without competing with safety
• Less effort required to compare urgency across updates.

Live updates
Live updates were prioritised to surface the most recent changes first, helping users quickly orient themselves without scanning the entire dashboard.
Location summary
“What does this mean for me?”
Instead of showing raw data, the risk is translated into a clear status with a short explanation, helping users quickly understand their situation without interpretation.
Priority Alerts
• Prevent urgent warnings from blending into general updates
• Reduce scanning time during high-stress situations
• Make severity immediately visible without reading
• Showing live updates first
Some users may miss deeper context initially
In return, most users immediately see what changed right now
• Isolating priority alerts
Routine updates get less visibility
In return, critical warnings are never missed or diluted
• Keeping environmental data as signals.
Trends and analysis are not deeply explored
In return, users quickly understand risk without interpretation
• Choosing familiar layouts over experimental UI
The interface feels less innovative visually
In return, trust and ease of use increase during stress
• Designing for scanning instead of reading
Detailed explanations are limited
In return, users can orient themselves in seconds
This project started with a simple intention: to understand how people behave when information arrives faster than clarity. Through multiple iterations, the focus shifted from presenting information to guiding attention and supporting decisions under pressure
• Reduces time spent scanning and comparing information
• Lowers hesitation by clearly separating urgent vs non-urgent updates
• Makes critical updates hard to miss and easy to understand
• Creates space for support and care actions once immediate safety is addressed