JESSYE HOLMGREN-SIDELL

Fidelity Sales Management Dashboard

Experience Design, Interface Design

The Brief

My team at Fidelity's Center for Advanced Technology received company funding to build a client management interface for the sales department. Our project's primary objectives were to consolidate existing tools on a single platform; offer product data analysis to create sales opportunities for Managing Directors and Account Executives; and present those opportunities in a visually dynamic and easily digestible way.

Role

UI Designer
User Research, User Journey Mapping, Wireframing, Visual Design, Prototyping, User Testing

Team

The Solution

A management system that leverages AI insights and Salesforce technology to improve product sales and client relationships.

2 Designers
1 Product Manager
1 Business Analyst
3 Developers

Client

Fidelity Investments

Date

2019 - 2021

Client Service page

Research

"

I'm always hunting and pecking for information

"

-  user observation

Interviews

We began the project by meeting with Managing Directors (MDs) and Account Executives (AEs), two of the primary roles on the Fidelity sales team. Documenting and sorting through the resulting 30+ hours of interviews helped us understand their current sales experience, the tools they used, and how they managed clients and products.

User Journey Mapping

To better define our users' specific needs, we mapped workflows for both AEs and MDs through their respective sales cycles. This also allowed us to pinpoint moments for AI intervention and data sourcing.

MD Journey Map

Sales cycles are complex and require months of preparation. To accurately capture pain points, we broke the cycle up by client interactions.

AE Journey Map

Key Takeaways

Pain Points

1. Sales uses a wide range of platforms to organize client meetings and notes

2. Users often “hunt and peck” to find client information 

3. Current platform holds lots of data but is overwhelming and
   difficult to navigate

Opportunities

1. Incorporate sales insights generated through machine learning algorithm

2. Utilize and consolidate Salesforce's data repository

Process

Sketches

Because our interface would be pulling data from so many applications, we quickly determined that the dashboard should be expanded to include multiple landing pages. I began arranging cards according to client needs.

Quick sketches organizing cards and Salesforce information

Wireframes

After determining the rough outline and informational hierarchy of each dashboard page, I built out lo-fi wireframes. Rapidly iterating helped me test layouts, play with progressive disclosure, and consider different ways users might interact with page content.

Interface

I designed our final interface for MDs and we prototyped and built four landing pages to organize the management dashboard.

This is a study in progressive disclosure

"

"

-  our design perspective

Products Page

Navigating Clients

MDs can have over 20 clients per sales cycle. This side bar shows a list of clients and helps users filter by account name or team member. Selecting the tab then displays that corresponding client's information.

Organizing Data

This section, in particular, was what our team called "a study in progressive disclosure." Client can have multiple products and those products can have multiple. Categorizing and displaying that information quickly becomes confusing. To help users prepare for meetings, we consolidated plan data, previously located across multiple pages, to a single card. MDs can view plan details according to products and use a segmented controller to compare their client's stats with competitor's. 

Search dropdown gives filter options for clients and helps MDs

Benchmarking averages from competitors appears next to corresponding data categories

Service Page

Utilizing Limited Real Estate

During interviews, we learned that most users log to-do projects in tables, either in Salesforce or through Excel. To economize on space and not overload users with spreadsheets of data, I split their projects between in progress and awaiting action. MDs can click on either tab to view their action items and reveal more information through accordions.

Card progressively reveals action items according to progress made

Utilizing scroll within cards and accordions to economize on page space without overwhelming users 

Action items that require attention, grouped by business quarter

AI-generated analytics for participant calls

Next Best Page

Feeding the Algorithm

We built this page around an AI-algorithm that recommends the products and product features MDs should sell to clients - i.e. "the next best product." Users can provide feedback on these recommendations, to continually improve the algorithm. 

MDs can assess recommendations through feedback form and compare potential products with existing peer data

AI Insights in Context

We also designed a slide-out drawer that, when opened, highlights and explains AI-generated insights in the context of the page. 

Users see tagged insights by opening insights panel

Book of Business Page

Glanceable Grid

Users specifically wanted a view of all their clients and the products they currently have, could have, and can't have (called a Book of Business). This grid needed to be understandable at a glance, with the option for users to reveal more information by interacting with the grid cells. I utilized color and iconography to differentiate between product viability.

Clicking on grid cell gives an overview of product, possible growth, and retention (if product is owned)

Filter Products

Users can toggle between prospective or current products and apply filters to further drill down to specific client opportunities.

Results

Our team conducted regular interviews with MDs throughout the research and designing phases. These interviews allowed users to review the interactive prototype and provide detailed feedback that we could apply before the dashboard went into development.

​

Several users reported being confused by the page for their Book of Business, namely the interactive grid feature. Based on these responses, we added an interface key.

​

We finished transitioning all MDs over to the new sales dashboard by February of 2021, with a 100% adoption rate.