Helping Frequent Travelers submit expenses faster and more accurately
Win business customers who value expense automation
Expense automation was important to current and potential customers looking to reduce manual effort in expense reporting. The product needed to be updated to stay competitive and support future revenue growth.
From Consultant to Mobile Lead
Led mobile design for hotel expenses
Mentored two web designers on mobile best practices
Built collaboration across siloed teams
Impact
56% to 11% Reduction in Submission Failures During Usability Testing
30,000 Hours Estimated Annual Time Savings
$1.4M Estimated Annual Productivity Value
Established Design as a Decision Maker for the First Time
A task no one wants to spend time on
A frequent traveler trying to finish an expense report between meetings, in an airport, or at the end of a long trip could spend 10–20 minutes submitting expenses for a standard hotel stay. Navigating the submission experience while referencing receipt details often led to mistakes, creating correction loops with managers and turning what should be a quick task into a frustrating process.
Automation can’t solve everything
Machine learning can automate parts of the expense reporting process, but automation is only as reliable as the data behind it. The challenge was reducing effort while maintaining confidence in the outcome as transaction and receipt data varied in quality and completeness.
Travelers needed to focus on what matters
With automation handling routine matches, I focused on helping travelers understand what required attention in context, making review and submission easier.
A clearer path to submitting hotel expenses
With the help of machine learning, travelers no longer need to review every piece of information. Instead, they focused on what required attention, helping reduce errors, avoid unnecessary rework, and complete expenses with less effort and greater confidence.