Overview
Introduction of product
AiDash Biodiversity Net Gain Management System (BNGAI) is a satellite analytics SaaS product, offering a robust set of features designed to streamline habitat assessment, field surveys, BNG planning, and submission for approvals to authorities
How it works
The product leverages advanced artificial intelligence algorithms, satellite images, and ground observations to provide predictive insights into biodiversity hotspots and ecological trends.
How it solves the problem
BNGAI was created to streamline biodiversity management for developers, ecologists, and planners. By replacing time-consuming manual processes with a faster, easier, and more accurate solution, it empowers users to make data-driven decisions efficiently.
My Role
Designing for a highly complex product in the biodiversity and compliance space was both challenging and rewarding. Most of time I found myself Researching and understanding the nuances of biodiversity, translating those insights into intuitive features, and ensuring the design balanced user needs with business goals and compliance requirements.
It was an exciting journey into an uncharted domain, where I not only solved real-world problems but also collaborated closely with cross-functional teams, including product managers, developers, and compliance experts.
It was a journey of exposure, learning and growth.
Hats Worn:
Product Designer
UX Designer
Researcher
Product Guy
Team:
2 Designers
2 Product Managers
20+ Developers
Tenure:
March 23 -Present
Process
We followed an agile methodology, breaking the project into smaller, manageable bi-weekly sprints. This approach allowed us to continuously gather user feedback, understand new feature requirements, and adapt to evolving regulatory changes.
Through collaborative iterations with multiple stakeholders—including product managers, developers, and compliance teams—we ensured that each release delivered tangible value to users. By maintaining a user-centric focus, we ensured the product evolved to solve real-world challenges.
Why Iterative ?
This iterative process not only enabled continuous progress but also fostered a culture of continuous improvement, reducing risks and keeping the product aligned with both user needs and business goals.
Our process blended strategic product evolution with tactical feature development
Impact & Highlight
Over two years, I designed N numbers of features that transformed the product from a skeletal idea into a fully functional platform.
here are a few highlights that illustrate the journey :)
$1.04M
Revenue generated post
launch
700+
Clients onboarded ( Like Amazon, the UK Ministry of Defence, National Grid, and South West Water )
500+
Screens Designed so far :)
40 +
Compliance Features
Designed
Data as of Dec 24
Product Workflow
"To give you a glimpse into my design process, I’ve selected one critical feature from the workflow above. This example highlights how I balance user needs, business goals, and technical constraints."
Feature:
Designated Layers
Section : Preliminary Baseline Assessment + Planning Screen
The Problem
Ecologists and planners conducting biodiversity assessments needed complete, immediate access to critical environmental data about a site and its surroundings (on, above, and below ground). One key gap was the absence of designated sites—public/private datasets identifying ecologically sensitive areas (e.g., protected habitats, conservation zones).
Users had to manually cross-reference external datasets, slowing down baseline assessments and BNG (Biodiversity Net Gain) planning.
User Pain Point
“Without designated sites data in the platform, we waste hours switching between tools to identify protected zones around a site.”
The Requirement
“As an ecologist, I need to view mandatory designated sites layers on and around my site within the platform to accurately define the baseline and streamline BNG planning."
Journey Towards Solution
Before jumping into solutions, I started by asking why. Through Secondary research ( read about designated sites ) and by conducting user interviews I discovered the need and how they interact with them.
In 1:1 interview where i understood their working, i found that ecologists and planners needed this data purely as passive reference layers—not for interaction. They wanted to see protected zones around their site (up to 5 km) to contextualize their assessments, not act on them. This insight shifted our focus: instead of building complex tools, we prioritized minimalist visualization with functionality
As i delve deeper into it ( through research and interview) while designing, new scenarios and constraints were explored.
Key Goals, findings and constraints:
Integrate designated sites data into the platform’s map interface.
Allow users to toggle layers and adjust vicinity radius.
Allows users to also see below the designated layers.
Display details without overcomplicating the interface.
These designated layers can also overlap each other
Users need to see site below designated layers as well to better analyze
We have to use predefined patterns and colors for the layers
After this it was clear in which direction we wanted to go
After ideating and validating multiple design iterations with users and stakeholders, I arrived at a solution that mirrored how ecologists actually worked. By prioritizing visibility and adding value through intuitive interactions, the design helped users navigate, analyze, and plan more efficiently. turning fragmented data into actionable insights.
Proximity Controller
Allowing users to Control the proximity of designated sites around their main site. Filter sites by proximity (0.5-5 km or custom) to focus on relevant areas.”
Opacity Controller
With multiple designated sites often overlapping the main site or each other, the opacity controller lets users adjust transparency. This helps them see what’s beneath overlapping layers, providing a clearer and more detailed picture for better analysis.
Boundaries
The boundaries denoting the sites and designated layers have different visualization to easily separate them and also to Mimics ecologists’ workflows for easy interpretation
Colors Of Pattern
Colors and patterns follow DEFRA guidelines, ensuring universal understanding among ecologists
Details-on-Demand Popup
Click a site to see key details. Provides quick insights without disrupting workflow.
