Usability Testing
It was important to check how clear the text on the buttons is and whether it meets the requirements of Contrast Ration (4.5:1).
Problem
Unclear Data-Driven Conversation Flow
Many companies struggle with initiating and structuring conversations around their data using various sources and templates. This lack of clarity can slow down decision-making processes and hinder effective data utilization.
Solution
Streamlined Conversation Workflow
Provide a clear, intuitive process to kick off data-driven conversations, accessible directly from the main dashboard. Offering a transparent view of available options simplifies the workflow and helps teams engage with their data more efficiently.
Approach
01
Competitor Analysis
02
Kano Model
03
Personas & User Flows
04
Wireframing
05
Prototyping
01
Moodboard
02
Visual Concepts & UI Kit Creation
03
Accessibility tests
04
Interface design
05
01
Usability testing
02
Five-second test
03
Label Clarity test
Challenges
Designing for Large Teams with Different Access Levels
Creating a system that accommodates large teams with varying roles and permissions can be complex. Ensuring the right access for each member while maintaining security and usability is critical.
Feedback for AI Messages and Memory Administration
Managing feedback for AI-generated messages and controlling memory retention is essential for training and improving the AI model. A user-friendly interface for providing feedback and managing memory helps optimize AI performance.
Clarifying Conversation Flow with Data or Templates
Starting a conversation using a data source or template can be confusing without a clear process. Simplifying this flow improves user experience and ensures efficient engagement with data.
Competitor Analysis Insights
The competitor analysis for the Newton AI tool involved evaluating seven platforms, focusing on their data science capabilities, user interfaces, and AI-driven features. This assessment helped uncover areas for improvement and opportunities to enhance Newton's ability to support teams in making more data-informed decisions efficiently.
Three out of six competitors offer mobile apps, while the others only provide websites.
Questionnaire Integration
Only one competitor includes a questionnaire feature similar to our product.
Resource Availability
All competitors provide useful articles for caregivers, ensuring access to relevant information.
Resource Rating
One competitor offers the ability to rate articles, allowing users to provide feedback on content quality.
Event and Association Listings
Five competitors feature lists of current associations and events, helping caregivers stay connected and informed.
Future Opportunities
Potential enhancements like a caregiver forum and donation features could set our app apart and add significant value.
Possibility to turn on/off autorun code
Some of the competitors offer a possibility for manual review and approval before run any code
Multiple datasources to analyze in one chat
Only two competitors do not have this feature that seems to be really important
Empower Non-Technical Users
All the competitors have simple explanation of data for non-technical users
Schedule analysis
Two competitors offer the ability to schedule analysis. This feature clients include in the future scope.
Follow-up questions
Half of the competitors offer a feature that provides follow-up questions during conversations.
Forecasting
Provide the possibility to give forecasts based on clients' data sources.
One competitor offers voice and written instructions for taking user photos, a feature WNDWshop plans to incorporate to enhance ease of use.
Avatar Creation Option
No competitor currently provides the option to create an avatar instead of using a photo, but WNDWshop aims to include this feature to cater to users who prefer not to share personal photos.
AI-Driven Size Recommendations
Several competitors provide size recommendations based on user inputs, and WNDWshop will incorporate AI-driven recommendations to improve fit accuracy.
Save Created Outfit
Three competitors allow users to save images of themselves with the clothes they try on. WNDWshop will implement this feature to enable users to revisit their looks and make informed decisions.
Define Size via Photo
None of the competitors offer a feature that determines clothing size through a photo, presenting a unique opportunity for WNDWshop to innovate in this area.
Cashback Opportunities
Some competitors offer cashback on purchases from partner stores. WNDWshop is considering this feature to add value for users and incentivize their shopping experience.
Information Architecture
Kano model
The Kano model was used to prioritize key features from the competitor analysis for the Newton platform. By classifying features into must-haves, performance enhancers, and delighters, this approach helps determine which functionalities should be implemented to maximize user satisfaction.
Personas
We created three UX personas for Newton: Superadmin, User, and Newton Admin. Each persona reflects distinct access levels, with varying core needs and frustrations. This differentiation ensures that the platform is designed to address their specific requirements and provide a tailored experience for each role.
User flow
We developed user flows for our three key personas: Superadmin, User from companies, and Newton Admin. These flows outline the specific interactions and experiences each persona has within the platform, ensuring tailored functionality and a seamless user experience.
Other activities:
CJM & Impact/effort matrix
CJM & Impact/effort matrix
Design concepts
The product concept phase involved presenting multiple design concepts to the client, each tailored to meet their needs. We also conducted accessibility tests on each concept to ensure inclusivity and usability for all users.
Accessibility tests
Color Blindness Test
Also, we conducted Color Blindness Test in order to check how people with different types of color vision deficiency see the colors in our concepts.
Interface design
The interface design for Newton prioritizes clarity and efficiency, enabling users to easily navigate the platform, manage data sources, and engage in AI-powered conversations. Each element is designed to support teams with varying access levels while maintaining a seamless and intuitive user experience.
UI Kit /
Design System
Design System
We developed a high-quality, scalable design system for Newton that ensures consistency across all element states. Comprehensive documentation was provided to streamline the implementation process.
Usability Testing
The primary aim of this usability test was to evaluate how user-friendly our app is. We wanted to identify any areas where users might encounter difficulties or confusion.
Five-second test
This test helped us understand what information stands out to users at first glance and whether the design communicates the app's purpose effectively.
Label Clarity test
We wanted to ensure that the wording we use is intuitive and that users can easily understand what each button or section is for.
Summary
This project aimed to enhance the Newton AI platform by addressing key challenges, including designing for large teams with varied access levels, clarifying the conversation flow with data sources and templates, and improving feedback and memory administration for AI training. Through thoughtful design, we successfully streamlined the dashboard, optimised the use of templates, and created a more intuitive conversation flow. These improvements resolved critical user pain points, and we continue to build on research-driven insights to further refine and implement additional features.
