Designing intuitive AI products for the non-technical users

Designing intuitive AI products for the non-technical users

Designing intuitive AI products for the non-technical users

Working on multiple AI based SaaS products created by Arizona State University, enabling users to create their own AI projects.

Working on multiple AI based SaaS products created by Arizona State University, enabling users to create their own AI projects.

Reading time : 3 min

What is MyAI Builder?

What is MyAI Builder?

MyAI Builder is a SaaS product with multiple LLMs developed by Arizona State University that allows users to create customized AI solutions using their uploaded data and configurable model settings. It provides tools for users to build AI assistants tailored to their specific needs by integrating pre-existing knowledge, documents, and settings to guide responses.

MyAI Builder is a SaaS product with multiple LLMs developed by Arizona State University that allows users to create customized AI solutions using their uploaded data and configurable model settings. It provides tools for users to build AI assistants tailored to their specific needs by integrating pre-existing knowledge, documents, and settings to guide responses.

MyAI Builder is a SaaS product with multiple LLMs developed by Arizona State University that allows users to create customized AI solutions using their uploaded data and configurable model settings. It provides tools for users to build AI assistants tailored to their specific needs by integrating pre-existing knowledge, documents, and settings to guide responses.

Scenario

Scenario

User research on MyAI Builder revealed key usability challenges—users found the interface cluttered, overly technical, and misaligned with their expectations, leading to high task completion times and lower success rates.

User research on MyAI Builder revealed key usability challenges—users found the interface cluttered, overly technical, and misaligned with their expectations, leading to high task completion times and lower success rates.

Goal

Goal

The goal was to streamline the experience and bridge the gap between technical and non-technical users, ensuring the platform is intuitive, user-friendly, and efficient to improve engagement and usability for both personas.

The goal was to streamline the experience and bridge the gap between technical and non-technical users, ensuring the platform is intuitive, user-friendly, and efficient to improve engagement and usability for both personas.

Industry & Team Overview

Industry & Team Overview

Industry

Industry

Edtech, Artificial Intelligence

Edtech, Artificial Intelligence

Team

Team

3 UX Designers
2 UX Researchers
1 Product Manager

3 UX Designers
2 UX Researchers
1 Product Manager

Timeline

Timeline

5 months

5 months

Role

Role

UX Design
UX Research
UX Strategy

UX Design
UX Research
UX Strategy

What did I do?

What did I do?

  • Immediate design fixes

  • Information architecture, conducting design ideation and card sorting sessions

  • Conceptual designs, Interaction design and testing

  • Design components (Evolving Figma design system)

  • Defined Visual identity

  • Entire Dashboard design (Onboarding optimization - first screen a user lands on)

Results

Results

Multiple iterations were and are created with a focus on addressing the findings and recommendations made by the research team post UX research. The current iteration results were found from the product's analytics platform.

Multiple iterations were and are created with a focus on addressing the findings and recommendations made by the research team post UX research. The current iteration results were found from the product's analytics platform.

300%

Increase in product usage

Increase in product usage

40%

Reduction in Steps needed

Reduction in Steps needed

60%

Reduction in User queries

Reduction in User queries

Overall research statement

Overall research statement

Users are excited about MyAI Builder's potential and eager to integrate it into their workflows, but they often feel overwhelmed by its extensive feature set, using only 40% of its capabilities. Simplifying the user experience and prioritizing the visibility of key features could drive higher adoption and better engagement.

Users are excited about MyAI Builder's potential and eager to integrate it into their workflows, but they often feel overwhelmed by its extensive feature set, using only 40% of its capabilities. Simplifying the user experience and prioritizing the visibility of key features could drive higher adoption and better engagement.

  • 90% of issues stemmed from the product being designed for technical users, while 70% users were non-technical.

  • 60% problems found because of confusing information architecture

  • 30% minor issued due to cluttered space and overwhelming terminologies

  • 90% of issues stemmed from the product being designed for technical users, while 70% users were non-technical.

  • 60% problems found because of confusing information architecture

  • 30% minor issued due to cluttered space and overwhelming terminologies

How might we statement

How might we statement

"How might we enable non-technical users to create and interact with bots effortlessly, without requiring any training and technical knowledge?"

Design
Goal

Design goal

Intuitive interface for the non-technical, empowering them to create personalized AI projects.

Intuitive interface for the non-technical, empowering them to create personalized AI projects.

Business
Goal

Business goal

Integrate the product into users' daily routines, encouraging them to explore diverse use cases that will drive long-term engagement.

Integrate the product into users' daily routines, encouraging them to explore diverse use cases that will drive long-term engagement.

Key performance indicators

Number of projects created
Reduction in user queries

Number of projects created
Reduction in user queries

Number of projects created
Reduction in user queries

Quick design fixes

Quick design fixes

Before initiating a major redesign, I prioritized small, quick fixes to address minor usability issues. These incremental improvements provided immediate value while we worked on a larger redesign to align with research findings and effectively solve the "How might we" statement.

Below are few of the quick fixes.

Before initiating a major redesign, I prioritized small, quick fixes to address minor usability issues. These incremental improvements provided immediate value while we worked on a larger redesign to align with research findings and effectively solve the "How might we" statement.

Below are few of the quick fixes.

Evaluating & Updating the style guide

Evaluating & Updating the style guide

While designing for quick fixes, I realized that there is a need to update the design system, which was in AdobeXD. I transferred the style guide to Figma and introduced components, auto-layout and variants that improved the consistency across products and screens.

While designing for quick fixes, I realized that there is a need to update the design system, which was in AdobeXD. I transferred the style guide to Figma and introduced components, auto-layout and variants that improved the consistency across products and screens.

Conducted Ideation session and card sorting

Conducted Ideation session and card sorting

Post addressing quick changes, I formed 'How might we statements' for major recommendations and findings from the research. Discussed design ideas with the developers and leadership team that led to aligning teams and saving time.

Post addressing quick changes, I formed 'How might we statements' for major recommendations and findings from the research. Discussed design ideas with the developers and leadership team that led to aligning teams and saving time.

The ideation session revealed that even the team was unfamiliar with all the technical terms. I collaborated with the developer to understand each feature's functionality and its relevance to the users. Leveraging content strategy and information architecture principles, I then conducted an open card sorting session with 13 users.

The ideation session revealed that even the team was unfamiliar with all the technical terms. I collaborated with the developer to understand each feature's functionality and its relevance to the users. Leveraging content strategy and information architecture principles, I then conducted an open card sorting session with 13 users.

Iterations

Based on insights from the above steps and research, I went through multiple iterations, systematically refining the content strategy and user interactions to enhance usability.

Based on insights from the above steps and research, I went through multiple iterations, systematically refining the content strategy and user interactions to enhance usability.

The PIVOT

The PIVOT

Despite breaking down complex categories and using drop downs, the panels still felt cluttered due to limited space. Recognizing this constraint, I stepped back from the existing layout and explored alternative designs, starting with sketches to reimagine the structure.

Despite breaking down complex categories and using drop downs, the panels still felt cluttered due to limited space. Recognizing this constraint, I stepped back from the existing layout and explored alternative designs, starting with sketches to reimagine the structure.

The split screen redesign iterations and concept testing

The split screen redesign iterations and concept testing

I implemented the split-screen design to enhance usability and reduce clutter. This approach aligned with users' mental models, as 100% of them were familiar with ChatGPT’s layout.

Key insights from initial user feedback:

  • Alignment with user journey: Guided project creation process because of hierarchy

  • Intuitive Interaction: A question-based format made features easier to understand and use

  • Visibility Drives Engagement: Users engaged with features they could see, such as the manage knowledge base on the left, making it more likely to be utilized

I implemented the split-screen design to enhance usability and reduce clutter. This approach aligned with users' mental models, as 100% of them were familiar with ChatGPT’s layout.

Key insights from initial user feedback:

  • Alignment with user journey: Guided project creation process because of hierarchy

  • Intuitive Interaction: A question-based format made features easier to understand and use

  • Visibility Drives Engagement: Users engaged with features they could see, such as the manage knowledge base on the left, making it more likely to be utilized

The design

The design

  • Refined Information Architecture: Reorganized content and tabs based on users' mental models from the card sorting session (Left navigation bar)

  • Optimized User Flow: Structured features to align with user behavior, prioritizing hierarchy and input sequence

  • Streamlined Interactions: Reduced steps for key actions, enhancing efficiency and usability

  • Decluttered UI: Used progressive disclosure, such as drop down menus, to present information contextually

  • Enhanced Input Experience: Improved input fields and set default values to minimize user effort (Toggle buttons, adding character limit, templates, microcopy, notifications)

The dashboard design

The dashboard design

  • Banner design: Added a prompt area for new users to ask questions and find value

  • Templates: For the new user who feel creating a new project overwhelming

  • Getting started: New users who prefer reading documents and articles to start

  • Clear CTAs: Finding 'Create project' accessible and easier to find

  • In-product user feedback: Easier to capture user feedback and report a problem

Compare before and after designs

Dashboard results

Results captured through multiple data points (Product data analytics, Customer support channels, User interviews, Surveys)

70%

Users used the prompt area

90%

New+Old users used templates at least once

" This has come lightening years, it now feels inviting to start using it."

-MyAI Builder user

Overall design results

Multiple iterations were and are created with a focus on addressing the findings and recommendations made by the research team post UX research. The current iteration results were found from the product's analytics platform.

300%

Increase in product usage

40%

Reduction in Steps needed

60%

Reduction in User queries

More AI projects I worked on at AI Acceleration

More AI projects I worked on at AI Acceleration

More AI projects I worked on at AI Acceleration

What would I do differently?

  • Avoiding time invested in developing designs restricted by the current layout, as the platform is still in its initial phase where making these decisions are affordable.

  • Creating a design system earlier and adding structure to it for collaboration

  • Reaching out to the developers earlier to understand each feature and align UX and developer priorities

  • Avoiding time invested in developing designs restricted by the current layout, as the platform is still in its initial phase where making these decisions are affordable.

  • Creating a design system earlier and adding structure to it for collaboration

  • Reaching out to the developers earlier to understand each feature and align UX and developer priorities

Challenges?

  • Balancing design decisions with technical priorities in an engineering-driven environment

  • Adapting to new technology and technical jargon for effective collaboration

  • Transitioning from Adobe XD to Figma while maintaining design continuity

  • Designing a platform that worked seamlessly for both technical and non-technical users

  • Balancing design decisions with technical priorities in an engineering-driven environment

  • Adapting to new technology and technical jargon for effective collaboration

  • Transitioning from Adobe XD to Figma while maintaining design continuity

  • Designing a platform that worked seamlessly for both technical and non-technical users

Learnings?

  • Developing a deeper understanding of agile methodologies and how to work efficiently within an agile framework, creating clear JIRA tickets for developers and improving team alignment

  • Presenting qualitative findings quantitatively to drive targeted design improvements

  • Attaching user stories to Hi/Lo fidelity prototypes for clear design rationale

  • Aligning user needs, business goals, and scalability to support long-term organizational vision

  • Developing a deeper understanding of agile methodologies and how to work efficiently within an agile framework, creating clear JIRA tickets for developers and improving team alignment

  • Presenting qualitative findings quantitatively to drive targeted design improvements

  • Attaching user stories to Hi/Lo fidelity prototypes for clear design rationale

  • Aligning user needs, business goals, and scalability to support long-term organizational vision

LET'S CONNECT

I am everything design! I am resilient to the core.

Get in touch to find out more about how I create digital experiences to effectively reach and engage audiences.

Email: shailees0406@gmail.com

Phone: +1 (602) 576-4588

Design by

Shailee

LET'S CONNECT

I am everything design! I am resilient to the core.

Get in touch to find out more about how I create digital experiences to effectively reach and engage audiences.

Email: shailees0406@gmail.com

Phone: +1 (602) 576-4588

Design by

Shailee

LET'S CONNECT

I am everything design! I am resilient to the core.

Get in touch to find out more about how I create digital experiences to effectively reach and engage audiences.

Email: shailees0406@gmail.com

Phone: +1 (602) 576-4588

Design by

Shailee