E-NETRA GIS, 2026
Reduced duplicate survey records by ~75% through GIS validation.
Designed an end-to-end GIS survey ecosystem for CRUXA Group & Nagar Palika Parishad, combining manual product thinking for field workflows with AI-assisted design for operational and governance systems.
project details
Team
Solo Designer
Duration
2 months
My Role
End-to-end design · 0 -> 1 Product Ownership · Client Iterations · Prototyping
Status
Shipped
THE SITUATION
Field teams and administrators needed different ways to work
The ecosystem connected three groups:
Surveyors collecting property data
GIS teams managing survey operations
Nagar Palika Parishad monitoring progress and reporting
As surveys increased, the same system had to support very different workflows. Long forms slowed field teams, duplicate records reduced data quality, and administrators struggled to track progress.
The challenge wasn't collecting survey data—it was helping every team work with it differently.
IMPACT
MADE LARGE-SCALE GIS SURVEYS FASTER AND MORE RELIABLE
~75%
GIS property validation prevented redundant records before they were created.
~30%
Section-based forms reduced navigation effort during long field surveys.
2
Separate GIS and NPP Admins gave each team the tools they actually needed.
3X
AI accelerated dashboard design while product decisions remained human-led.
CORE DECISION
One dashboard couldn't solve three different problems
Surveyors needed to collect data. GIS teams needed to manage operations. Municipal teams needed visibility.
Putting all of that into one dashboard would've made every workflow more complicated.
Instead, I designed three focused products around the people using them:
Field App → fast, guided survey collection
GIS Admin → day-to-day survey operations
NPP Admin → reporting, monitoring, and administrative oversight
The goal wasn't more dashboards—it was less complexity for every team.
FIELD SURVEY APP
The hardest part wasn't collecting data—it was keeping surveyors moving.
Surveyors spent most of their day moving from one property to another. Stopping to navigate long forms or search for information slowed the entire process.
Instead of redesigning the UI, I first simplified the workflow.
I broke one long survey into smaller sections with clear progress, allowing surveyors to focus on one task at a time instead of one overwhelming form.
The redesign included:
Section-based navigation
Swipeable form flow
Progress tracking
Context-aware inputs
The goal wasn't to make the form look better. It was to make long surveys feel easier to complete.
Designed manually in Figma
Product decisions were driven by field usability and workflow thinking rather than AI-assisted generation.
GIS Admin
Managing surveys became more complex than collecting them
Once surveys started coming in, the challenge shifted from collecting data to managing it.
Designed using Figma Make, I rapidly explored operational workflows while focusing my time on product decisions instead of repetitive dashboard layouts.
The platform helped teams:
Monitor everything from dashboard
Manage surveyors and groups
Resolve issues with ticket management
Handle duplicate surveys
Access and review survey data
One key decision was preventing duplicate surveys before they entered the system. Instead of creating a new record, users could continue adding family-level data to an existing property.
The goal wasn't a better dashboard—it was cleaner survey data.
AI accelerated dashboard exploration
Rapidly iterated complex admin workflows while product decisions remained human-led.
NPP ADMIN
Turning survey data into administrative decisions
While GIS Admin focused on day-to-day operations, NPP Admin was designed for municipal teams responsible for reviewing progress and making decisions.
Built using Figma Make, the dashboard focused on:
Survey progress and reporting
Verify & sign survey
Bulk verify and download actions
Instead of operational controls, the interface prioritized visibility—helping administrators quickly understand what needed attention and where.
The goal wasn't to manage surveys. It was to help administrators make faster, informed decisions.
AI INtegration
Using AI to accelerate execution—not replace product thinking
I intentionally used Figma Make to rapidly prototype the GIS and NPP admin systems, allowing me to explore complex workflows much faster than designing every screen manually.
The field survey app, however, was designed entirely in Figma. Its interaction patterns and workflow decisions were driven by product thinking and field usability—not AI.
AI accelerated execution. Product thinking defined direction.
SIGNING OFF!
KEY TAKEAWAYS
This project involved navigating ambiguity, evolving requirements, and defining structure as the system scaled.
ONE PROBLEM. THREE EXPERIENCES.
Different teams needed different products to do their jobs well.
USE AI WITH INTENT
AI accelerated exploration. Human judgment drove every product decision.
DESIGN FOR THE PEOPLE DOING THE WORK
Surveyors, GIS teams, and administrators needed different tools—not different permissions.
Good products don't just collect data — they help people act on it.