Walmart

Dynamic Pricing System

background

Retailers manage pricing through B2B software analytics that uses historical data to suggest new data as well as predictive analytics. The generated content these analytics tools produce is what people in the company need in order to analyze and develop, and execute pricing strategies.

role

I was hired as a UX consultant to support the Walmart pricing team in Bentonville, AK to leverage the UX of the legacy analytics pricing tools as well as support junior designers with their daily initiatives with tools and guidance.

In this case study I have omitted confidential information to comply with my non-disclosure agreement. The information in this project is my own and does not necessarily reflect views or plans of Walmart.

shipped ux on two fronts

UX Research

I designed, planned and executed a four-week discovery research to help with: A. Learn about existing pricing software and B. validate design concepts through research finding.

UX Guidance

I learned, gathered, and analyzed information about company pricing tools, deeply familiarized myself with the daily UX challenges both UXer’s and BO’s owners deal with in order to build a strong foundation for UX recommendation

the

research

A four-week discovery research to help with: A. Learn about existing pricing software and B validate design concepts through research finding.

research

Methodology

study

objectives

The study aimed to answer the following questions:

research

findings

Accuracy of projections
Participants said overall existing pricing tool is a straightforward system to use and it's the least painful application from an ease of use perspective. However, they indicated that often the system provides them predictions that seem inaccurate which causes them to run numbers and calculations manually using excel sheets and because of that they prefer not rely on the


Meaningful data and how it’s displayed
1. Participants indicated 3 data points they found are most useful to perform their job, and indicated others as “less important”.
2. Most participants preferred to have data presented side by side
3. Most participants said that 9 out of 10 times they would take action on the pricing plan level information and wouldn't dive in to see more details
4. Few participants thought having status on the pricing plan is helpful