Media.Monks

Media.Monks is a digital agency that works remotely with employees globally. I was involved with their First American client, working to modernize their insurance rates calculator.

My Roles
Lead Product Designer
Location
Remote
Timing
2023 → Aug 2024
Resources
First American Rate Calculator - new design showing the application interface

The Project: Modernizing a 20-Year-Old Legacy Product

Our agency was contracted to modernize a title rates calculator for First American. This internal tool was used daily by roughly 10,000 of the company’s 60,000+ employees across the US — some teams processing upwards of 3,000 quotes per week. The interface hadn’t been updated in over 20 years.

My Role

I led the design end-to-end with oversight from a Design Manager on the client side. There was no product manager — I owned the design direction, created an entirely new design language (the legacy design was not being carried forward), and coordinated with two front-end and four back-end engineers.

Every two weeks, I presented to a panel of stakeholders who had managed the legacy tool for over a decade. They were deep domain experts, which meant I had to be thoroughly prepared and able to justify every design decision in their terms.


The Current State

While the front-end was being rebuilt from scratch, the back-end infrastructure had to stay. Multiple departments across the company depended on it, so every design decision needed to work within the constraints of a system we couldn’t change.

Here is the entry point of the existing calculator.

The legacy rate calculator entry interface

After completing all required fields, users reached this summary page showing costs and line items. The entire flow was linear and rigid.

The legacy rate calculator summary page

Understanding the Current Workflows

I proposed a two-stage research approach. Phase one focused on understanding the pain points with the current system and mapping the different use cases across the company. The client’s Design Manager wanted broad coverage, so we tested with roughly 80 participants spanning multiple departments and personas. Several patterns emerged quickly.

Linear Workflows Aren’t Flexible

The existing tool enforced a rigid, linear progression. This likely simplified the system’s architecture, but it came at a significant cost to the user experience.

Diagram showing the rigid linear step flow of the legacy tool

Constrained and Rigid Processes

Because users couldn’t navigate between stages, any modification was painful. If you had 90% of your quote filled out and needed to change one field, you had to start over. If you returned later to make an edit, you were starting from scratch again. For teams processing thousands of quotes weekly, this was a massive time sink.

Diagram showing users having to start over to make modifications

Why We Were Brought In

The problems were clear, which made the goal clear: build a flexible, modern front-end on top of a rigid, legacy back-end — without disrupting the infrastructure that the rest of the company depended on.


Opportunity: Build a Flexible System for Everyone

Phase two of our research used Figma prototypes built around realistic scenarios. Participants attempted to complete each scenario while thinking aloud, flagging friction points as they went.

Hypotheses and Goals for Testing Plan
1

They should understand that the left side of the interface where they input data, influences the right side that is generating their quote as they go.

2

They should understand they can add, duplicate, delete and edit any of the items they are adding to their quote.

3

They should understand what state the app is in. They should know if there is an error, if they're able to update their quote, and when their quote is updated and ready to export.

This is the design after our third round of testing and iteration.

The new Rate Calculator design after testing iterations

Outcome: People Couldn’t Wait to Try the New App

Many of our test participants were power users who relied on this calculator daily. They told us how much faster their processes would be, and how excited they were to no longer have to start over to make changes. The ability to modify quotes on the fly and make changes freely was a fundamental shift from the tool they’d been using for years.

Our testing sessions were a clear success, and we received full approval from the stakeholder panel to move into development.


Designing Around a Legacy Backend

My initial proposal was real-time quote updates — every user modification would immediately recalculate. However, First American’s backend regenerated the entire quote on each update, not just the modified section. This made automatic updates too expensive.

This constraint forced a different approach: I designed a system where users explicitly choose when to update. This meant the interface had to clearly communicate when an update was needed, what had changed, and when everything was current.

State Management

I designed a state management system with four distinct states: update required, error, warning, and up-to-date. Each state appeared both at the app level and on individual line items, so users could see exactly which parts of their quote needed attention and what would change when they triggered an update.

Quote summary components showing different states of the application

The Full System

I produced workflow diagrams like the one below to align both the stakeholder panel and the engineering team on how the system would behave in every scenario. These artifacts became essential references during our biweekly presentations and engineering handoffs.

Action guide workflow diagram showing the full system

Summary

The final design received full approval from the stakeholder panel — a group of domain experts who had managed this tool for over a decade and knew its intricacies inside out. They were excited to ship what we had built.

I was contracted to design the core product, and work with engineering to deliver an MVP. By the time my engagement ended, I had delivered a complete design system, a fully functional MVP based on a validated prototype tested across 80+ participants, detailed workflow documentation, and a state management framework that resolved the tension between a modern flexible interface and a rigid legacy backend.