AI Assistant

Bespoke AI tool designed end-to-end to streamline the workflows of thousands of financial advisors.

Role

Principal UI/UX Designer
User Interviewer

Design Scope

UI/UX Design
Interaction Design
UX Research

Timeline

July 2024 – January 2025

Recognition

2025 Wealth Management
Industry Award Winner for
Workflow Automation

THE ASK

  1. Reduce the operational drag of their financial advisor’s workflows through targeted AI enhancements

  2. Create an AI experience that would be easily adopted by a traditional advisor user base

  3. Design an AI tool that will serve as an intermediary between the current suite of tools

MY ROLE

As the Principal Designer of this product, I conducted competitive research to understand AI applications across the financial space to identify design opportunities. Through rapid, iterative testing with internal stakeholders, we explored multiple creative directions for an intuitive chat-based interface with AI-enhanced analytical tools that advisors can rely on.

How can we...

reallocate the task time of financial advisors away from dense data analysis and towards strengthening client relationships through an AI experience that melds seamlessly with the features of the existing product?

Our results

15hr/week

15 hours saved per week on portfolio I & model building task times

📊

20hr/month

20 hours saved per month on investment research, proposal creation, and meeting prep

💪

5K+ RIA’s

Registered Investment Advisors whose workflows we’ve empowered

Our features

Feature 1:
Chat Interface

A chat interface that onboards new and existing users to a totally new experience. Drawing design parallels to existing AI tools, we leverage users’ existing familiarity with other AI tools to ease the users’ transition into regular use of our AI tool. Key features include advisor-centric prompts and chat history.

AI Chat landing page

side panel

1

AI chat starting prompt cards

2

side panel of past chats

Feature 2:
Chart Generation

Advisors love charts, but creating them takes time. AI automations allow advisors to generate custom data visualizations from simple inputs, dramatically decreasing average task times. To integrate this capability into the flow of the chat tool’s conversation thread, I followed existing AI tool design conventions of displaying rich inline content such as graphs to reduce unfamiliarity and friction.


When brainstorming how to connect the AI tool with the other tools in the product workflows, we thought of what advisors would want to see after the AI output. To allow advisors to dive into the AI's data, all data visualizations generated by the AI would link to the tool it is built from to give advisors control over the data.

data visualizations generated
by the AI tool

1

inline data visualizations

2

deep links to pertinent native YCharts tools

Feature 3: Connective Tissue of the YCharts Product Suite

Besides automating tasks for advisors, the AI chat tool seeks to connect and streamline the workflows of advisors as they navigate across their suite of tools, consolidating tasks that typically traverse multiple workflows into a single, streamlined experience.

inline links to native stock pages

links to relevant news sources from YCharts Newswire

links to view AI outputs in native tools

dropdown of sources used in outputs from our databases

Design Direction Explorations

Navigating how far we would diverge from our legacy design system resulted in various design directions ranging from conservative to modern interface designs.

spectrum of conservative to more modern design directions for the chat interface

User Testing Interface Designs

After honing down design directions, higher-fidelity interactive prototypes were created for testing scenarios to account for edge cases and compound use cases. We received verbal feedback from users about their thoughts when navigating the prototypes.

user feedback taken from target users regarding interface designs

user personas

We developed user personas of the financial advisors that use our product, ensuring the needs and goals of those we’re designing for are consistent. We used these documents to ask leading questions like "How would an analyst like Rachel use this?" and "How would this benefit Clint in sales?".

designing for research/analytical users...

and client facing sales users

Applications of Color + Design System

Refreshed Color + Design System

To create a visual identity that signifies its AI capabilities, I created a gradient system leveraging existing colors in our design library. The product was a selection of bright, clean gradients that communicates an inviting and intelligent experience.

After researching other AI interfaces, it was necessary to add more modern design elements to the component library to populate the AI interface. I introduced rounded corners, cards with drop shadows, and branded AI icons all leveraging the established design components.

applications of color system

New Motion Design System

The new AI chat tool introduced new animations and new motion design rules that were applied to keep the animations consistent throughout.

regenerating AI prompt cards

scroll down button to bottom of AI response

AI loading skeleton

AI response generation

some animation design patterns

Takeaways

  1. Use of AI in the field

    Competitive research of AI tools and similar products with AI features has shown me many of the interface design standards used across products leveraging this emerging technology.

  2. Design system expansion

    Expanding the design system as a logical extension of the legacy design system while balancing the emerging design standards of modern AI interfaces was a challenge that has shown me how to navigate creating a unique interface design for the product that signals its novel capabilities while still feeling familiar to our user base.

  3. Strong Documentation

    Doing your due diligence while documenting new design components is crucial when communicating with our product engineers. Design version control was crucial for keeping the engineered product faithful to the designs and creating a single source of truth for quality assurance.

Recognition

🏆

In the 11th Annual Wealth Management Industry Awards, our AI Chat tool was recognized for our use of AI Technology to automate the workflows of wealth managers among several leading players in the industry. We received the finalist award in the AI Technology — Workflow Automation category among our top competitors.

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