Case Study

National Healthcare Leadership Program: From Vision to Launch

Client: International Coffee Company's Global Learning Platform || Industry: Corporate Education / Learning & Development || Project Duration: Problem identification to solution deployment

The Challenge

An international coffee company partnered with a major university to create a global free learning platform. As the program scaled internationally, the architecture grew complex: multiple regional LMS microsites, separate landing pages, and a country-selection flow that seemed straightforward.

Except it wasn't working.

Users consistently ended up on the wrong regional site—over 20% error rate. This wasn't just a user experience annoyance; it was a data integrity nightmare. Reporting was unreliable, metrics were questionable, and the team couldn't make confident decisions about program performance or resource allocation.

Marianna implemented effective project management practices through all aspects of SGA, carefully considering internal, external, and international stakeholders. To increase communication, transparency, and accountability, Marianna created custom processes for a particularly critical, remote development team based outside the United States.
— Brian N., Associate Director, Starbucks Global Academy

The Results

100% error elimination: Reduced wrong-site errors from 20%+ to 0%

Data integrity restored: Reporting became reliable and actionable

User experience improved: Learners spent less time navigating, more time learning

Operational efficiency: Dramatic reduction in support tickets and manual corrections

Key Takeaway

When something isn't working, don't guess—investigate. What looked like user error was actually a design problem. By following the data and observing actual behavior, we eliminated a problem that was corrupting every metric and frustrating thousands of users.

The Approach

As Project Manager, I took a data-driven approach to solve what everyone assumed was a user error problem.

Investigated the Root Cause

  • Analyzed support tickets to identify patterns in user confusion

  • Installed heat mapping and analytics tools to track actual user behavior

  • Mapped the complete user journey to identify where flows broke down

Followed the Evidence

  • Discovered that specific UI elements and navigation patterns were causing predictable user mistakes

  • Identified architectural decisions that made errors more likely

  • Found that the "obvious" country selector was actually creating confusion

Redesigned Based on Reality

  • Updated the architecture to reduce decision points and potential for error

  • Revised UI elements based on observed user behavior, not assumptions

  • Streamlined the flow to make the correct path the easiest path

Top view of a coffee mug

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Case Study: Case Study: National Healthcare Leadership Program