Redesigning Echo:
Redesigning Echo:
Redesigning Echo:
For a Simpler Home Automation Experience
For a Simpler Home Automation Experience
For a Simpler Home Automation Experience
Client
CLOUD 4C
CLOUD 4C
Industry
AI & Data Analytics
AI & Data Analytics
Duration
3 weeks
3 weeks
Services
UI/UX Design
UI/UX Design
ECHO AI is a data chat platform that helps businesses interact with large datasets. The platform faced challenges like complex workflows, low user engagement, and a confusing interface. The redesign aimed to simplify the user experience, improve usability, and increase adoption of key features like data retrieval and predictive analytics.
ECHO AI is a data chat platform that helps businesses interact with large datasets. The platform faced challenges like complex workflows, low user engagement, and a confusing interface. The redesign aimed to simplify the user experience, improve usability, and increase adoption of key features like data retrieval and predictive analytics.
Challenges Faced
Challenges Faced
ECHO AI, a data-driven chat application, faced challenges such as a complex user interface, making navigation and data interaction difficult. Data comparison and analysis tools were cumbersome, slowing down decision-making. Low user engagement occurred due to the need for external training and support. Additionally, the customization options were not intuitive, limiting users' ability to personalize the platform for their business needs.
ECHO AI, a data-driven chat application, faced challenges such as a complex user interface, making navigation and data interaction difficult. Data comparison and analysis tools were cumbersome, slowing down decision-making. Low user engagement occurred due to the need for external training and support. Additionally, the customization options were not intuitive, limiting users' ability to personalize the platform for their business needs.
Design Process
Design Process
Discover
Discover
We gathered insights through Knowledge Transfer (KT), competitive analysis, and user interviews. We reviewed ECHO AI’s structure, features, and technical aspects, including the dashboard, chat interface, and schema management. The LLM (Large Language Module) allowed users to select AI models for data training. Based on the insights gained, we identified the need for a simpler interface, clearer AI training guidance, and more customization options to better meet users' business needs.
We gathered insights through Knowledge Transfer (KT), competitive analysis, and user interviews. We reviewed ECHO AI’s structure, features, and technical aspects, including the dashboard, chat interface, and schema management. The LLM (Large Language Module) allowed users to select AI models for data training. Based on the insights gained, we identified the need for a simpler interface, clearer AI training guidance, and more customization options to better meet users' business needs.
Define
Define
We analyzed the findings from Discovery and identified key user problems, goals, and design requirements. Major issues included a cluttered UI, difficulty in data comparison, and complex customization options. Users needed a more intuitive interface with better control over the platform’s appearance and functionality. Our design goals focused on simplifying the UI, improving data comparison and analytics, and adding customization options for businesses to personalize the platform.
We analyzed the findings from Discovery and identified key user problems, goals, and design requirements. Major issues included a cluttered UI, difficulty in data comparison, and complex customization options. Users needed a more intuitive interface with better control over the platform’s appearance and functionality. Our design goals focused on simplifying the UI, improving data comparison and analytics, and adding customization options for businesses to personalize the platform.
Ideation
Ideation
During the Ideation phase, we brainstormed solutions to improve the UI. We designed a clean, modern layout with better task grouping (data retrieval, comparison, prediction setup) to enhance navigation and accessibility. For customization, we added brand-specific options to allow users to align the platform with their business needs.
During the Ideation phase, we brainstormed solutions to improve the UI. We designed a clean, modern layout with better task grouping (data retrieval, comparison, prediction setup) to enhance navigation and accessibility. For customization, we added brand-specific options to allow users to align the platform with their business needs.
Wireframes
Wireframes
We created wireframes to simplify the dashboard layout, organizing key data more clearly. The chat interface was redesigned for smoother interactions with the database. We added comparison tables and predictive charts to improve data analysis. The design prioritized clarity, making it easier for users to navigate the platform without feeling overwhelmed.
We created wireframes to simplify the dashboard layout, organizing key data more clearly. The chat interface was redesigned for smoother interactions with the database. We added comparison tables and predictive charts to improve data analysis. The design prioritized clarity, making it easier for users to navigate the platform without feeling overwhelmed.
Visual Design
Visual Design
In the Visual Design phase, we focused on a sleek, futuristic aesthetic while ensuring clarity and usability. The color palette was chosen for high contrast to enhance readability and create a tech-forward feel. We updated iconography to simplify workflows and added visual cues to guide users. Customization features were integrated, allowing businesses to personalize the platform to better meet their needs.
In the Visual Design phase, we focused on a sleek, futuristic aesthetic while ensuring clarity and usability. The color palette was chosen for high contrast to enhance readability and create a tech-forward feel. We updated iconography to simplify workflows and added visual cues to guide users. Customization features were integrated, allowing businesses to personalize the platform to better meet their needs.
Colour Palette
Colour Palette
The interface uses brand colours to ensure a consistent visual identity. Minimal colours are applied for key indications like call-to-action buttons and alerts, enhancing clarity and focus without overwhelming the user. This approach creates a balanced and intuitive experience.
The interface uses brand colours to ensure a consistent visual identity. Minimal colours are applied for key indications like call-to-action buttons and alerts, enhancing clarity and focus without overwhelming the user. This approach creates a balanced and intuitive experience.
Typography
Typography
We chose DM Sans as the primary typeface for the entire website due to its clean, modern, and highly readable form. Its balanced proportions and smooth curves support clarity across various screen sizes, making it ideal for both dense medical content and quick-glance UI elements. The simplicity of DM Sans aligns perfectly with the platform’s goal of delivering trustworthy, user-friendly healthcare information.
We chose DM Sans as the primary typeface for the entire website due to its clean, modern, and highly readable form. Its balanced proportions and smooth curves support clarity across various screen sizes, making it ideal for both dense medical content and quick-glance UI elements. The simplicity of DM Sans aligns perfectly with the platform’s goal of delivering trustworthy, user-friendly healthcare information.
Delivery
The redesigned ECHO AI platform was delivered with a customizable UI feature, allowing users to personalize the interface. We simplified task workflows, improving data retrieval, comparison, and AI predictions for easier access. This streamlined design reduced training needs, enabling users to perform tasks with minimal support and boosting engagement and decision-making efficiency.
The redesigned ECHO AI platform was delivered with a customizable UI feature, allowing users to personalize the interface. We simplified task workflows, improving data retrieval, comparison, and AI predictions for easier access. This streamlined design reduced training needs, enabling users to perform tasks with minimal support and boosting engagement and decision-making efficiency.
Lesson Learned
Simplifying complex tasks is essential for improving user engagement. Providing more intuitive and flexible customization options helps users adapt the platform to their needs.
Customization creates a more personal connection between users and the software.
Simplifying complex tasks is essential for improving user engagement. Providing more intuitive and flexible customization options helps users adapt the platform to their needs.
Customization creates a more personal connection between users and the software.
Summary
The ECHO AI redesign successfully transformed the platform into a user-friendly and intuitive solution, increasing user engagement and adoption. By focusing on simplicity, customization, and task-driven workflows, we helped users navigate complex data with ease, enabling them to make smarter, data-driven decisions.
The ECHO AI redesign successfully transformed the platform into a user-friendly and intuitive solution, increasing user engagement and adoption. By focusing on simplicity, customization, and task-driven workflows, we helped users navigate complex data with ease, enabling them to make smarter, data-driven decisions.