[Case 01]
Arizona Water Chatbot
Chatbot
Introduction
Problem Statement
Arizona faces severe water scarcity, and residents struggle to access real-time, reliable water information. The existing methods, such as government reports and fragmented sources, make it difficult for people to find accurate updates and conservation strategies.
Objective
To design an AI-powered chatbot that provides instant water updates, answers user queries, and encourages sustainable water usage among Arizona residents.
Tools
[Industry]
Environmental Technology
[My Role]
Lead Designer and Researcher
[Duration]
Aug 2023 - December 2023
[Client]
Arizona State University
Project Overview
Brief Summery
The Arizona Water Chatbot is an AI-powered assistant designed to provide real-time water updates and conservation tips. It simplifies access to water-related information, making it easier for residents to stay informed and take action.
Outcome
Improved user engagement
Simplified access to real-time water information
Enhanced understanding of water policies through a user-friendly chatbot.
Why is this Chatbot effective and what inspired this initiative?
Arizona faces a critical water crisis driven by prolonged drought, climate change, and rapid population growth. With the Colorado River system at historically low levels, ensuring sustainable water management is more vital than ever. The Arizona Water Chatbot was inspired by the need to provide residents with an accessible, real-time resource for water-saving tips, policy updates, and practical solutions. By empowering individuals and communities with actionable insights, this initiative seeks to transform awareness into impactful conservation efforts.
Is the Chatbot effective?
To determine the chatbot's effectiveness, we conducted primary user research and usability testing on the existing platform. I led research with 10 participants, all native Arizona residents, ensuring the chatbot was designed to meet their specific needs. This approach provided valuable insights, helping us refine the chatbot’s features and enhance its usability.
Research & Insights
User Demographics
Our primary user base was carefully selected to represent a diverse group of Arizona residents across various regions, including Phoenix, Prescott, North Arizona, and Tucson. The participants included:
Age Groups
Key insights from User Research
Competitive Analysis
Demographics Insights
User Feedback on Trust and Reliability
During user testing, trust and reliability emerged as critical factors influencing user confidence in the chatbot’s responses. Here’s what users said:
Jhon Roberts
Marketing Manager
I liked the information the chatbot provided, but it would be more reassuring if the sources were mentioned. Knowing where the data comes from would make it feel more trustworthy
Alex Carter
Assistant proffessor
“I often doubt the reliability of chatbot responses since I can’t verify their sources. It would be helpful to have a way to check the information’s origin to boost my confidence in its accuracy.”
Key Obsesrvations
Design Process
The design process began with rough sketches and low-fidelity wireframes, leveraging insights from research and user testing. Each iteration focused on addressing user pain points while adhering to ASU guidelines and core design principles, ensuring a user-friendly and intuitive experience.
Design
Wireframes were transformed into high-fidelity screens using Figma, with a focus on conversational design. Straightforward yet engaging interactions were crafted to reduce cognitive load and improve readability, ensuring an intuitive and user-friendly experience for all users.
