UX CASE STUDY

UX CASE STUDY


Behavioral Health Mobile Experience

UX + UI Design

Mobile-First

SaaS

Behavioral Health

B2B

As a Senior Design Lead, I transformed a time-consuming, manual process into a mobile-responsive platform that slashed enrollment time by 68%.
As a Senior Design Lead, I transformed a time-consuming, manual process into a mobile-responsive platform that slashed enrollment time by 68%.

BEFORE

30+ minute phone call

No flow / Granular /

Not optimized for an executive

AFTER

Digital, private, and stress-free

Contextual / Personalized /

AI-enhanced / Mobile

Project Summary

23 minutes

Saved on each enrollment (35m → 12m) and virtually eliminated enrollment calls.

26% increase

In first-fime conversions, as users no longer had the barrier of making a phone call.

PRIVACY

TRUST

A digital experience gives users the privacy they want, leading to higher trust.

A digital experience gives users the privacy they want, leading to higher trust.

77% increase

In service utilization, taking them from 2.8% to 4.9% (the EAP industry average is 3-6%).

Client

Client

Silicon Valley EAP Provider

Top 5 Global Pharma

Timeline

Timeline

Total engagement was 3 years

Total engagement was 3 years

THE TEAM

THE TEAM

Sr. Design Lead ME

Project Manager

Project Manager

Sr. UX Researcher

Sr. UX Researcher

Client Partner

Client Partner

Product Manager

Product Manager

3-Person Dev Team

3-Person Dev Team

KEY DESIGN ACTIVITIES

KEY DESIGN ACTIVITIES

User Research

User Research

Concept Validation

Concept Validation

UI / Visual Design

UI / Visual Design

UX Strategy

UX Strategy

Interactive Prototyping

Interactive Prototyping

Design QA

Design QA

The problem

Imagine having 10 free mental health counseling sessions, but you can only enroll and pick a counselor over the phone.
It takes privacy (and courage) to explain it out loud. It takes over 30 minutes and it's a serious barrier that many can't overcome.
And if you're the EAP provider paying people to take these calls…
It's time consuming
It's time consuming
It's costly
It's costly
And your biggest customers are checking out the competition
And your biggest customers are checking out the competition

I started by listening

I started
by listening

1
My researcher and I interviewed 12 stakeholders (who are also end-users).
My researcher and I interviewed 12 stakeholders (who are also end-users).
2
I distilled the findings into 3 UX Personas and 7 Guiding Principles.
I distilled the findings into 3 UX Personas and 7 Guiding Principles.
3
I wrapped up discovery by leading an 8 hour co-design workshop.
I wrapped up discovery by leading an 8 hour co-design workshop.
  • Silhouette in Snow
  • Silhouette in Snow
  • Silhouette in Snow
  • Silhouette in Snow
  • Silhouette in Snow
  • Silhouette in Snow
  • Silhouette in Snow
  • Silhouette in Snow
  • Silhouette in Snow
  • Silhouette in Snow

Architecting the user experience

Architecting the user experience

  • Silhouette in Snow
  • Silhouette in Snow
    Concept 1 was a traditional dashboard with AI as a feed. Some things resonated, but overall it was not effective.
  • Silhouette in Snow
    Concept 2 was a side-by-side layout with AI Insights by product line. Better than Concept 1, but not by much.
  • Silhouette in Snow
    Concept 3 was a top-down flow with contextual AI Insights baked-in. This was the clear winner.
After testing three concepts it was clear that the storytelling concept was the most effective approach.
After testing three concepts it was clear that the storytelling concept was the most effective approach.
It leads with summary, flows into brand performance, and finishes with drivers of brand performance.
It leads with summary, flows into brand performance, and finishes with drivers of brand performance.
TRADEOFF: NARRATIVE vs NAVIGATION
TRADEOFF: NARRATIVE vs NAVIGATION
Tab-driven navigation feels familiar, but for users the contextual flow was worth the tradeoff.
Tab-driven navigation feels familiar, but for users the contextual flow was worth the tradeoff.

Overcoming the challenges

Overcoming the challenges

UNDEFINED AI
UNDEFINED AI
Everyone wanted AI, but nobody could tell me what it should actually do.
Everyone wanted AI, but nobody could tell me what it should actually do.
  • I had no defined outputs

  • No existing use-cases

  • And no real examples in pharma

  • I had no defined outputs

  • No existing use-cases

  • And no real examples in pharma

To give people something to react to, I designed a framework with Projections, Opportunities, and Insights. They loved it.

To give people something to react to, I designed a framework with Projections, Opportunities, and Insights. They loved it.

A GOOD IDEA AT THE WRONG TIME
A GOOD IDEA AT THE WRONG TIME
A stakeholder pitched a metric called the "Evolution Index." I liked it, but:
A stakeholder pitched a metric called the "Evolution Index." I liked it, but:
  • It wasn't being used anywhere

  • Few users understood it

  • And leadership wasn't tracking it

  • It wasn't being used anywhere

  • Few users understood it

  • And leadership wasn't tracking it

I decided to push back, suggesting a workshop activity to prioritize the metrics. "EI" didn't make the cut and was added to the backlog.

I decided to push back, suggesting a workshop activity to prioritize the metrics. "EI" didn't make the cut and was added to the backlog.

EARLY MISTAKES
EARLY MISTAKES
Here are two things I'll catch sooner next time:
Here are two things I'll catch sooner next time:

Mistake one: I assumed why a team member was struggling instead of asking and the output reflected it. I should have asked.

Mistake one: I assumed why a team member was struggling instead of asking and the output reflected it. I should have asked.

Mistake two: We tried to visualize data we didn't understand and it slowed us down. I should have pushed for definition earlier.

Mistake two: We tried to visualize data we didn't understand and it slowed us down. I should have pushed for definition earlier.

I rebounded, but both are lessons learned.

I rebounded, but both are lessons learned.

Moving beyond static reporting

Many users told me about two big pain points:
Many users told me about two big pain points:
No strategic insights
No strategic insights
No real-time data
No real-time data
So I made 5 moves to solve it:
So I made 5 moves to solve it:

01

Predictive analytics using AI

02

Chart annotations for key moments

03

Personalized views: executives vs analysts

04

Real-time dashboard to replace static reports

05

Mobile-friendly real-time monitoring

01

Predictive analytics using AI

02

Chart annotations for key moments

03

Personalized views: executives vs analysts

04

Real-time dashboard to replace static reports

05

Mobile-friendly real-time monitoring

  • Silhouette in Snow
    This view shows AI-insights, opportunities, and projections, as well as chart annotations. The real-time reporting is highly personalized.
  • Silhouette in Snow
    The mobile-friendly UI enables better real-time monitoring and allows users to break free from their powerpoint decks.
  • Silhouette in Snow
    A view optimized for executive users provides high-level, real-time data with predictive analytics that enable better decision-making.
  • Silhouette in Snow
    The real-time metrics here are personalized and charts can be repositioned. Analytical details are "sticky" along the right side.

Moving beyond static reporting

Designing for trust

Mockup
Mockup
Users also mentioned two other significant pain points:
Users also mentioned two other significant pain points:
They couldn't trust the data
They couldn't trust the data
No context to explain "why"
No context to explain "why"
So I made 5 key design decisions:
So I made 5 key design decisions:

01

01

Tell the story behind the data

Tell the story behind the data

02

02

Be transparent with dates & sources

Be transparent with dates & sources

03

03

Include commentary

Include commentary

04

04

Leverage AI to explain context

Leverage AI to explain context

05

05

Show correlations in the data

Show correlations in the data

In the end there was less work, more trust, and faster decision-making.

In the end there was less work, more trust, and faster decision-making.

The client now saves 84 hours in prep time every month…

Less errors and inconsistencies

Less work
validating data

Personalized
metrics

Automated PPT slides

The client now saves 84 hours in prep time every month…

Less errors and inconsistencies

Less work
validating data

Personalized
metrics

Automated PPT slides

The new dashboard unifies their reporting and simplifies their workflows…

7

Products

4

Global Regions

4

Reporting Platforms

12

Data Sources

50

Data Points

32

Charts

The new dashboard unifies their reporting and simplifies their workflows…

7

Products

4

Global Regions

4

Reporting Platforms

12

Data Sources

50

Data Points

32

Charts

And leadership can now make faster, more confident strategic decisions.

A single source of truth

Real-time visibility and transparency

Predictive analytics via AI

Competitive market dynamics

And leadership can now make faster, more confident strategic decisions.

A single source of truth

Real-time visibility and transparency

Predictive analytics via AI

Competitive market dynamics

Let's connect!

Let's connect!

Direct contact info

Direct contact info

919.397.4778

919.397.4778

bmarcumux@gmail.com

bmarcumux@gmail.com

Raleigh-Durham, NC

Raleigh-Durham, NC

© 2026 Brad Marcum. All Rights Reserved.