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📝 DEEP CASE STUDY

Scaling Insurance Coverage Across Countries

Simplifying global administration by introducing flexible coverage options, automated compliance guardrails, and intelligent country-specific defaults.

Project hero image
Overview of the redesigned insurance dashboard, showcasing the new structure and improved clarity across employer, employee, and operations views.

Timeline

Q3  2023  (5–6  Weeks)

My Role

Sr.  Product  Designer
(Design  Owner)

Platform

Web  Dashboard

Stakeholders

Principal  PM
CXO

Executive Summary

This case study explores the redesign and enhancement of Multiplier's insurance platform to address critical gaps in coverage flexibility, global compliance, and user experience.

The existing system was built for simplicity, but it didn’t hold up as we expanded globally. Operating across borders meant our clients were struggling with rigid systems that couldn't adapt to local laws or bespoke HR policies.

This created both user and business problems:

  • limited adoption of insurance plans
  • compliance risks in key markets
  • operational inefficiencies during onboarding

By introducing a robust architecture capable of managing diverse insurance tiers alongside intelligent, country-specific default configurations, we empowered HR administrators, enhanced employee satisfaction and created a highly scalable foundation to increase the platform's revenue potential and future growth.

The Result

  • 9% Increase in projected platform revenue
  • 100% Adherence to localized compliance standards
  • ~30% Reduction in operational overhead and support tickets

Business Context & Challenge

As Multiplier expanded into more countries, insurance quickly became harder to standardize.

The original system was designed for simplicity. It supported a limited set of coverage types:

  • Employee only
  • Employee + dependents
  • Basic family plans

This worked early on, but began breaking down as we scaled globally.

Different markets had fundamentally different needs:

  • In some regions, employees preferred covering only a spouse or children due to cost sensitivity
  • In others, compliance required specific coverage combinations
  • Certain customers demanded plans like High Deductible Health Plans (HDHPs), which the system couldn’t support

At the same time, insurance was becoming a meaningful business lever:

  • Family plans generated ~2.7x higher premiums than individual plans
  • Insurance adoption influenced contract duration and retention
  • Default plans and compliance-driven offerings had clear revenue upside (~$200K–$400K ARR potential across markets)
This wasn’t just a UX problem.
It was a product, compliance, and business problem combined.
Old Design Limitations
The original insurance dashboard, which had a rigid structure that couldn’t accommodate diverse coverage options or provide clear guidance on compliance requirements across different markets.

Where the System Broke

As I dug deeper, the issues surfaced across three interconnected areas — flexibility, compliance, and operations.

1. Limited Coverage Flexibility

Coverage options were hardcoded and didn’t reflect real-world needs across countries.

For example:

  • There was no support for Employee + Spouse or Employee + Children in several markets
  • Plans like HDHPs, commonly requested by US customers, weren’t available
  • Users were often forced into either minimal or overly expensive plans

This created a clear mismatch between user needs and system capabilities — directly impacting adoption and conversion.

Limited Coverage Flexibility
The system’s rigid coverage options forced users into plans that didn’t fit their needs, leading to lower adoption and dissatisfaction.
Limited Insurance Tiers
The system’s rigid insurance tiers limited user choices and led to dissatisfaction.
2. Compliance Gaps Across Countries

The system didn’t enforce or guide compliance effectively, which became critical in certain regions.

For example:

France

  • Employers are required to cover employees and their children
  • The system only offered:
    • Employee Only
    • Employee + Spouse + Children
  • This made it impossible to configure compliant plans

United States

  • A significant number of employees lacked insurance due to:
    • limited plan flexibility
    • high cost of full family plans
  • Research showed that 30–40% of employees preferred partial dependent coverage, which wasn’t supported

This led to:

onboarding confusion

compliance risks

lower trust in the platform

No Compliance Information
The original system lacked clear compliance information and guidance, leaving HR teams uncertain about how to configure insurance plans correctly for different markets.
3. Operational Inefficiencies

Because the system lacked flexibility and defaults, operations teams had to compensate manually.

HR teams were:

selecting plans for each employee

verifying compliance across geographies

managing inconsistent benefit allocation

On average, this took ~45 minutes per employee and frequently resulted in errors.

This also created downstream issues:

delays in onboarding

inconsistent employee benefits across regions

increased dependency on support teams

The system didn’t scale — it relied heavily on human intervention.
Operational Inefficiencies
Operations teams had to manually manage insurance configurations, which was time-consuming and error-prone, especially as the number of employees and countries increased.

What This Meant in Practice

Looking across these issues, a clear pattern emerged:

  • Users didn’t lack options — they lacked the right options for their context
  • Compliance wasn’t built into the system — it was left to users and ops teams to figure out
  • The system didn’t reduce effort — it shifted complexity onto people

These weren’t isolated problems.

They were symptoms of a system that wasn’t designed to scale across geographies.

My Role & Scope

I led the design of this initiative across insurance configuration and onboarding.

My focus was on:

  • expanding coverage flexibility without increasing complexity
  • embedding compliance into the system instead of relying on manual checks
  • reducing operational effort through defaults and automation
  • aligning user needs with business and revenue goals

"I worked closely with product, engineering, and customer experience teams, making trade-offs to ensure we could deliver meaningful improvements within a constrained timeline."

Approach

I approached this as a system redesign problem, not a UI update.

Instead of layering more options onto an already constrained model, I focused on rethinking how the system should behave at scale.

This involved:

/01

Understanding how coverage needs vary across geographies

/02

Identifying where flexibility was required vs where standardization could reduce complexity

/03

Introducing defaults to minimize manual effort during onboarding

/04

Designing for both configuration (admin control) and scalability (system-driven behavior)

The goal was to create a system that:
adapts to different markets without becoming harder to manage
A demo of how the new system could support multiple coverage combinations and display them in a clear, user-friendly way. This flexibility was critical for meeting diverse market needs while maintaining a consistent user experience.

Key Decisions

Based on the problem space, I focused on introducing structure into the system rather than layering more options on top of it.

The solution came together through a set of key decisions that addressed flexibility, compliance, and operational scale.

Decision Purpose
Flexible Coverage Configuration System Enable multiple coverage combinations and plan tiers to match real-world needs across geographies
Insurance Settings Dashboard Centralize insurance configuration with country-specific defaults, cost controls, and global visibility
Compliance-Aware System Embed compliance into system logic through mandatory rules, defaults, and clear indicators
Automated Plan Assignment Reduce manual effort through location-based defaults, role mapping, and bulk operations
Exception Handling Framework Allow flexibility for edge cases while maintaining structure, traceability, and compliance

1. Introduced a flexible coverage configuration system

The existing system was rigid and couldn’t support real-world insurance needs across geographies. I replaced it with a flexible coverage model that allowed multiple combinations, including:

Employee Only (EO)

Employee + Spouse (ES)

Employee + Children (EC)

Employee + Parents (EP)

Employee + Spouse + Children (ESC)

Employee + Spouse + Children + Parents (ESCP)

To support cost variation and user preferences, I also introduced structured plan tiers:

Platinum

Gold

Silver

Bronze

HDHP

(High  Deductible
Health  Plans)

This allowed organizations to configure plans based on:

  • regional preferences
  • cost sensitivity
  • compliance requirements
Instead of forcing users into predefined options, this flexible system allowed organizations to offer plans that better matched real-world needs across regions.
New Coverage Options
The new system supported a wider range of coverage combinations, allowing organizations to better meet the diverse needs of their workforce across different regions.
New Plans
The new system provided a more intuitive interface for configuring insurance plans, reducing the time and effort required for HR teams to set up coverage options.

2. Built a centralized Insurance Settings system

One of the biggest gaps was the absence of a central system to manage insurance across countries. I introduced an Insurance Settings dashboard that acted as the control layer for the entire system.

It allowed teams to:

Location Icon

Define country-specific default plans

Tune Icon

Configure coverage combinations per geography

Percent Icon

Manage Employer vs Employee cost splits

Inspect Icon

Monitor and enforce compliance requirements

This brought three critical improvements:

  • consistency across onboarding
  • reduced manual setup effort
  • better visibility into how insurance was configured globally
Company-Wide Insurance Policy Setup
The new Insurance Settings dashboard provided a centralized location for HR teams to manage insurance configurations across all countries, improving consistency and reducing the risk of errors during onboarding.
Company-Wide Insurance Policy during Onboarding
During onboarding, the system automatically applied the appropriate insurance configurations based on the settings defined in the Insurance Settings dashboard, ensuring a smoother and more accurate onboarding experience for HR teams and new employees.
A demo of how the Insurance Settings dashboard allowed HR teams to set up and manage insurance policies at a company-wide level, streamlining the configuration process and ensuring consistency across different regions.

This shifted insurance configuration from a fragmented workflow to a structured system.

3. Embedded compliance directly into the system

Earlier, compliance was something users and ops teams had to figure out manually. I moved this responsibility into the system itself.

This included:

  • enforcing mandatory insurance rules in countries like France and UAE
  • applying country-specific defaults during onboarding
  • surfacing clear indicators for compliance requirements
Instead of treating compliance as an afterthought, it became part of the system’s logic. This reduced risk and removed ambiguity for both admins and employees.
Embedded Compliance at All Necessary CX Touchpoints
Compliance requirements were integrated into the user experience at key touchpoints, such as during plan selection and onboarding, ensuring that users were guided towards compliant choices without needing to understand all the legal details.

4. Automated plan assignment through defaults and logic

Manual plan selection was one of the biggest sources of inefficiency. I introduced an automated plan assignment system that used:

01

Location-based defaults

Assign plans based on country requirements.

02

Role-based mapping

Align coverage with employee roles or hierarchies.

03

Bulk operations

Update plans for large groups in a single action.

This ensured:

  • faster onboarding
  • consistent benefit allocation
  • reduced dependency on ops teams
The system moved from manual decision-making to guided automation.
Automated Plan Assignment through Defaults and Logic
By automating plan assignment based on location and role, the system ensured that employees were enrolled in the correct insurance plans without requiring manual intervention, improving both efficiency and accuracy during onboarding.

5. Designed for exceptions without breaking the system

Even with strong defaults, edge cases were inevitable. Instead of ignoring them or over-complicating the system, I built structured flexibility:

  • allowed custom plan overrides
  • supported exception handling workflows
  • ensured all exceptions were still tracked and compliant

This balance between structure and flexibility was critical.

The system could scale without becoming rigid or fragile.

Key Solution Areas

These decisions translated into three core solution areas across the product:

Coverage Flexibility

Expanded coverage types and plan tiers to match real-world needs across geographies.

  • Multiple coverage combinations
  • Tiered pricing structures
  • Support for region-specific preferences
Before and After: Coverage Flexibility

Compliance Management

Integrated compliance directly into onboarding and configuration.

  • Country-specific rules
  • Mandatory plan enforcement
  • Clear compliance indicators
Before and After: Compliance Management

Admin Efficiency

Reduced manual effort through defaults, automation, and centralized control.

  • Insurance Settings dashboard
  • Automated plan assignment
  • Bulk operations and exception handling
Before and After: Admin Efficiency

Outcomes

The impact of this work showed up across business performance, operational efficiency, and overall user experience.

+26% Attachment Increase
~9% Revenue Uplift
$105K Annual Impact
45% Reduction in Manual Effort

Business Impact

The most immediate impact was on insurance adoption and revenue.

  • Insurance attachment rate improved significantly — from 59% to 85% in the US, driven by introducing flexible plans like HDHPs
  • Adoption of dependent and mid-tier plans increased, especially in markets where full family plans were previously too expensive
  • Overall, the system contributed to a ~9% increase in insurance-driven revenue
  • Improved onboarding clarity and reduced friction also led to a noticeable increase in NPS and customer satisfaction

By aligning coverage options with real-world needs, the system was able to drive both adoption and retention.

Financial Impact

The changes translated into measurable revenue gains.

  • Net projected impact of ~$105K annually from improved plan adoption and pricing structures
  • Revenue uplift driven by:
    • users upgrading from no insurance to partial coverage
    • users moving from individual to dependent plans
    • increased uptake of mid-tier offerings

This wasn’t just incremental improvement — it validated insurance as a scalable revenue lever within the platform.

Operational Impact

One of the biggest shifts was in how the system reduced operational dependency.

  • Significant reduction in manual effort for plan selection and onboarding
  • Elimination of repetitive admin tasks through:
    • automated plan assignment
    • country-specific defaults
    • bulk operations
  • Faster onboarding with fewer errors and inconsistencies
  • More consistent benefit allocation across regions

The system moved from being ops-dependent to system-driven.

User Experience Impact

The improvements were equally visible in how users interacted with the product.

  • Clearer visibility into coverage options helped employees make more informed decisions
  • Built-in compliance increased confidence for both HR teams and employers
  • Reduced delays and fewer support touchpoints improved the overall onboarding experience
  • Better support for global teams ensured more equitable and relevant benefits across regions

Instead of navigating constraints, users could now engage with a system that adapted to their needs.

Reflection

This project pushed me to think beyond interface design.

The challenge wasn’t just improving usability — it was aligning:

  • user needs
  • compliance requirements
  • business goals
The real shift came from treating insurance as a configurable system, not a fixed offering.

By introducing flexibility where needed and structure where it mattered, we were able to:

  • scale across geographies
  • improve adoption and revenue
  • reduce operational friction

without making the system harder to manage.

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📝 DEEP CASE STUDY

Reducing Manual Work

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Part 03
📝 DEEP CASE STUDY

Designing Insurance

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