Smart waste management system
Company
Role
UI/UX Designer
Duration
6 Months
Team
3 Devs, 1 Designer
2 Data scientists , PO
Problem insight
I along with my product owner and the customer success team conducted more than 20 user interviews and analysed the qualitative data. We did interviews to understand various workflows of their business requirement from our product while creating reports and what their pain points with the existing design.
We also did internal interviews on our sales team to uncover recurring pain points.
The objective of interview was to understand how informed decisions user can make with the current dashboard.
Pain Points
By synthesising user feedback of current dashboard, analysing data from user research helped us to build primary use-case to tackle.
Key insights from research
Analytics was the most requested features. There was no way managers to view operational metrics of waste production in their buildings.
Katrin@Waste Manager
Wants to see trends and patterns of waste generation.
Wants to see how much waste is generated every year.
Wants to see total waste generated for all buildings.
I want to view data based on waste type.
Johnathan@Environmental Officer
Want to see waste data in real time.
want to ensure the data in the report is always unto date.
want to have the report in various format.
Want to integrate ESG report with the realtime data.
Ideation
Competitive Analysis
Due to lack of direct competitors, I then studies different organisations working for the same cause and observed their system behaviour, navigation flows and UI.
BrainStorming
We mapped out our goals for the new dashboard of how a dashboard can include analytics as whole which can help our different types of users as a whole.
User Stories
Created user stories to ensure the focused solution for the problems.
Design System Creation: Since we decided to revamp the entire product I created a design system from stratch to ensure the design stays consistent and efficient.
Major challenges
1. Balancing simplicity with functionality is crucial to prevent overwhelming users with too many options or technical details.
2.Designing intuitive and visually appealing data visualizations that convey information effectively for
users to understand patterns, trends, and insights
without overwhelming users.
Solution
1. Explored different types of charts to make sure data visualization can be easy and readable to a non technical person.
2. Bar chart was one of the most used and easily understood with a funnel chart which elaborate the situations with different types of waste, seemed to be the best solution to understand data.
Sensor testing
I was involved in testing sensor outputs to understand their precision and reliability. This process was crucial in shaping several major UX decisions. For example, while our initial concept focused on presenting data in real time, but sensor testing revealed that the real-time data stream was updated approximately every 15 minutes. This insight led us to adjust the interface to balance between real-time precision and meaningful visualization, ensuring that users could track changes throughout the day without being overwhelmed by excessive fluctuations.
Design execution & flows
UI Decisions
We revamped the dashboard with different types of features including data visualization, real time updates, custom reporting, waste generation by waste type for user to understand data and make informed decisions.
What we achieved MVP SMART WASTE Analytics which provides solutions for collecting, analysing, and reporting waste data to manage waste more efficiently, reduce environmental impact, and achieve sustainability goals.
