UX Case Study

Labor Planning Web App

Estimated 20 min

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A Responsive Labor Planning Product

Manhattan Associates is a 30-year-old tech company offering solutions for supply chain, inventory management, and omnichannel retail. Their major value proposition lies in the scale and complexity of their systems - now offered for the first time in a single, cloud-based platform. One aspect of their offerings serves the needs of current-day Warehouse Labor Management activites.


Problem

Warehouse labor planning is tricky. There is no easy solution for translating forecast information into a resource plan. The current labor planning process is highly manual and error-prone.

There is currently an application for managing the current day’s labor, but employees are tracked only at the level of the task they are performing and not in the location or job function they are working in.

Challenge

In 8 months or less, work with a team to create a new application that helps users view and adjust their labor plans for the current and future days.

Team roles: Product Manager, Business Analysts, Research and Development Analysts and Developers.

Solution

The Unified Distribution Planning is a purpose-built application with a simple and modern UI designed for easy scanning and quick access to make adjustments to the labor plan for current and future days.

 

Research & Discovery


Survey

We sent out a survey to clients at 4 different companies and received 6 responses.

We validated the importance of a tool that could quickly and easily translate labor forecast information into a resource plan.

see full survey in a new window

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Key Insights

PAINPOINTS

Lack of a good process for translating forecast information into a resource plan

Absenteeism

Retention & turnover

Lack of operating guideline across the network

Lack of standardization of Staffing and Operations info for the Distribution Center operations teams

Unpredictable volumes / volatility

GOALS

Reduce time & effort creating staffing plans

Adapt labor and resource plans in response to change, volatility, and product mixes

NEEDS

Advance notice for recruiting, hiring and training

Able to be more granular to see how product mixes level will impact the labor type needed

 

Interviews

We conducted one-hour interviews with 4 separate clients.

Key Insights

NEEDS

Ability to compare pick projections (by month, week, day) against daily performance and work level

Shift and schedule optimization

Need to include absenteeism data

Insight into vacation, leave of absence, etc.

OPPORTUNITIES

Show performance estimations by FTE, TEMP, and Overtime in relation to cost

Provide visibility into training needs (Ex. "Not enough people are vault certified”)

 

Persona Creation Workshop

In a 1-hour persona creation workshop, the team identified 2 main personas.

We began by noting all the active users who participated in the three focus areas of the tool: operational optimization, staff allocation, and resource planning. We honed in on the 2 most important users and together we outlined the following characteristics for each role: demographic info, tech-savviness, professional experience, goals, motivations, and pain points.

See the Persona Workshop Miro Boards in a New Window: Operations Manager / Warehouse Supervisor

 

Personas

I combined information from the surveys, interviews, and the workshop to create the following personas.

These two personas represent the users of the two main aspects of the application. The Operations Manager is responsible for the forward-looking, strategic labor planning for all the days in the future. The Warehouse Supervisor is responsible for the tactical role of managing labor on the current day.

 

Ideation


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Design Sprint

The team participated in a week-long Design Sprint, a process developed by Google Ventures.

 

We started with a Long Term Goal

A graphical and interactive tool that continuously optimizes the use of warehouse resources and supports the intra-day and long-term planning decisions and also accounts for changes in productivity, resource availability and volume of work

 

At the end of the week, we had a basic prototype that we validated in user testing sessions with 3 different users.

 

Overall User Impressions

The UI is simple and easy to use. 

Users understood what we were trying to depict and were able to use the prototype to accomplish tasks at a high level without prompting.

There were some questions around ways certain data was being represented.

 

NEEDS

  • Department info broken down by Job Function

  • Ability to compare pick projections (by month, week, day) against daily performance and work

  • Ability to see work hours by status (in progress / pending, forecasted) compared to staffed hours

 

Iterations

This section includes samples of the initial design sprint mockups presented alongside a version tested with users in January 2021. The purpose is to illustrate the major changes the interface has undergone in that time.


Week View

Design Sprint

Version 1 UX Mockup

 

Single Day View

Design Sprint

Version 1 UX Mockup

 

Adjust Future Labor

Design Sprint

Adjust headcount modal.png

Version 1 UX Mockup

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Stakeholder Feeback


In December 2020, we presented the Version 1 UX Mockup Designs to the Senior Vice President of Product Management. We received feedback requesting a UI that allows quick access for the user to see their labor planning problems and easy access to solving them.

As a solution, I created the Unified Distribution Planning Dashboard — a space to surface those high-level needs alongside quick links to solving them.

Please note: the dashboard screen will “sit above/on top” of all the other screens.

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User Testing/Interviews


We conducted 2 hybrid user testing/interview sessions in January 2021. At a high-level, the application met the user’s needs. Yet, through interview questions - it became clear that they expected to be able to make adjustments to a week or more at a time, not just a day at a time.

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Pos-Test Annotations

  1. Unsure how 8 overtime hours are split between 9 people and how that is communicated

  2. There is a training curve for Temps, not that easy to add them

  3. L’Oreal would expect to make adjustments to a week at once

  4. Graph is easy to look at quickly

 

Solution


High Fidelity Comps

Solution Summary

  • Purpose-built

  • Simple and modern UI

  • Card-based, graphical approach for easy scanning

  • Status dashboard provides details and quick links to adjust the labor plan

 

Results

The Unified Distribution Planning application is currently being developed.

 

Product Design and Case Study by Keeley Stitt

Design Oversight, Mansi Vora, Product Manager, Peter Schnorbach, Business Analysts - Emilia Kali and Colin Malone, Research & Development, Ibrahim Karakayali

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