Simplifying Equity Compensation

Simplifying Equity Compensation

Redesigning Ledgy's employee equity dashboard

Summary

Ledgy offers customers’ employees access to a personal account where they can view their equity compensation, but the user activity was low. I uncovered major user needs and transformed the legacy MVP by tailoring the data and visualisation to the audience.

Key results

200%

200%

Dashboard traffic

Dashboard traffic

x3

x3

Return visits

Return visits

+30%

+30%

+30%

Satisfaction ratings

Satisfaction ratings

Design process

My role

As the sole product designer on the project, and 2nd designer to join the company, I helped establish user research and design thinking processes that helped the team make more user-centered decisions based on real data.

Company

Ledgy is a fintech B2B SaaS startup

Team

1 Product Manager, 4 Engineers, 1 Data analyst

Timeline

1 quarter for discovery, user testing, design & development

Identifying the problems

Initially there were many ideas floating around to engage employees, but nobody was sure what to do. After conducting a workshop to understand the status quo and with the help of customer feedback from CX, I spoke to 5 employees using interviews, usability testing and card sorting to understand:

What do users know or think about their equity?

What do they want to know?

How useful is the current employee app?

My role

User insights

The most eye-opening insights came from usability testing the original dashboard, where testers were visibly confused and had difficulty using the dashboard to answer basic questions.

“More confusing than helpful”

“More confusing than helpful”

“More confusing than helpful”

The dashboard was too advanced. The typical employee is much less informed on equity than the staff at Ledgy who created the dashboard, so it’s hard for them to grasp the complex concepts and jargon. Furthermore, the layout & visuals offered little help for users to connect the dots, and some things made it even more confusing:

Difficult to read charts

For example, there is no way to see how much will vest next without hovering/searching over the right part of the vesting chart, esp. because the x-axis is labeled inconsistently

Difficult to read charts

For example, there is no way to see how much will vest next without hovering/searching over the right part of the vesting chart, esp. because the x-axis is labeled inconsistently

Difficult to read charts

For example, there is no way to see how much will vest next without hovering/searching over the right part of the vesting chart, esp. because the x-axis is labeled inconsistently

Defining the strategy

Previously, some believed that we needed to educate employees on advanced equity topics. But research indicated that these may intimidate most users, and that there is a much bigger pain point to be addressed.


So instead, we decided to improve the employee dashboard with more feasible, frontend changes, so that employees can independently learn about their equity using Ledgy, and reduce manager workload.

Brainstorming as a team

Since the dashboard is a highly complex area of the product, I gathered the team to brainstorm ideas to determine which were the most feasible and valuable to implement.


Due to the complex nature & dependabilities in the data, certain ideas had to be adapted. For example, instead of an event widget to show upcoming events, we focused on improving notifications.

Since the dashboard is a highly complex area of the product, I gathered the team to brainstorm ideas to determine which were the most feasible and valuable to implement.


Due to the complex nature & dependabilities in the data, certain ideas had to be adapted. For example, instead of an event widget to show upcoming events, we focused on improving notifications.

Since the dashboard is a highly complex area of the product, I gathered the team to brainstorm ideas to determine which were the most feasible and valuable to implement.


Due to the complex nature & dependabilities in the data, certain ideas had to be adapted. For example, instead of an event widget to show upcoming events, we focused on improving notifications.

Design iteration

Due to the high complexity, I refined my ideas closely with engineers using low-fidelity designs as they conducted technical research.

Since the design team was concurrently working on a rebranding establishing a design system, I adapted UI decisions accordingly.

Further learnings

Using a lower-fidelity mockup, I tested my ideas with early employees to check usability, and spoke to customers to gather feedback. These learnings helped me form my ideas towards the final design.

Final design

The new dashboard is tailored for equity beginners rather than experts: It now has an information architecture with the data following a logical flow with increasing complexity from top to bottom. The data users are interested in are highlighted, whereas less important pieces are de-emphasized. I further tested the designs with recent employees to validate the concepts.

Summary & progress section

Summary & progress section

Leveraging the top area where eyes tend to go first, I placed a "Your equity" summary, to give the user an overview of their data.

Detailed breakdown section

Detailed breakdown section

As the eye continues lower on the screen, that's when we can start getting into more detailed analysis, so this is where I placed "breakdown" cards:

Cliff

Cliff

Cliff

Cliff

Advanced analysis section

Advanced analysis section

Here, users can look back at previous grant valuations, see future estimates provided by the company, and play with their own forecasts.

Results

In addition to the overwhelmingly positive internal and external feedback post-launch. In the following months, we saw very positive results in the micro-survey I implemented, as well as user traffic data.

200%

200%

Dashboard traffic

Dashboard traffic

x3

x3

Return visits

Return visits

+30%

+30%

Satisfaction ratings

Satisfaction ratings