Context
The Walmart supermarket chain (owners in Chile of Líder, Express, A Cuenta, and Central Mayorista) uses an app that allows its employees to manage their daily work tasks, including the preparation of online orders.
The high demand for orders and the uneven distribution of these during the days require a solution that allows workers to organize their day effectively.
In response to this, a filtering system is developed to help organize work by time slots, according to the daily demand for orders, with a focus on minimizing interaction steps between the app and the user.
Confidentiality agreements prevent the display of actual solution images, so they have been edited.
Methodology
Solution
The solution is primarily used by Order Consolidators in online orders; workers who are mostly external and have a high turnover rate, so the proposed solution must have a low cognitive load for the user.
For its development, interviews and non-participant observations of users' work routines were conducted.
Once the proposal was tested, it was necessary to iterate the solution to best fit the operation's requirements, reducing the number of user/interface interactions to achieve the requested outcome.
Results
“The filter is a total improvement because it avoids scrolling infinitely to find the order”
01' 20"
Median task resolution time
"I find it clear how one establishes the schedules”