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Helping Mechanics Keep their Fleets Healthy and Deployed

An enterprise tool for vehicle repairs

STAKEHOLDER  UBER

THE CHALLENGE

Design a 0-1 software tool the enables JUMP mechanics fix more vehicles quicker and keep them deployed longer for users to rent

THE OUTCOME

Jump Mechanic, a tablet -based app, helps with everything from triaging vehicles and logging inventory to keeping track of repairs so that mechanics can focus on the most important part of their job—repairing vehicles 

IMPACT

Since the launch of Jump Mechanic, warehouses' ability to forecast inventory shortages has improved, resulting in a 18% utilization increase among bikes and scooters week-over-week. The platform has also helped clean up our data around average repair times, bike retirement rates, and keeping track of scheduled maintenance.

MY ROLE

Co-lead designer on the project responsible for supporting all UX/UI/UXR needs.

 

Additional responsibilities: Conducting user research, rapid prototyping, cross organizational collaboration, stakeholder management, requirements gathering, and user training

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THE VEHICLE LIFECYCLE

Showing what happens behind-the-scenes

CO-LEADING A SPRINT

Get stakeholder alignment and brainstorm solutions

USER NEEDS

The output of our design sprint

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SYNTHESIZING COMPLEXITIES 

How could we tie it all together?

LOFI WIREFRAMES

Getting all the wild ideas out at the beginning

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CHOOSING A DEVICE SIZE

USER TESTING

Running into problems early

USER TESTING

During user testing, we realized that the way we approached the UX (I.e., one main action per screen) was not received well by mechanics. They expressed to us that they’d prefer having more information on a page than to have it sequenced out.  

This fundamental misunderstanding was due to the team applying what we learned from working on consumer (i.e. optimizing for conversion). With a quick couple corrections we consolidated the stepper which made things much easier on engineering as well as the mechanics.

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1. CATEGORIZING ISSUE TYPES

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2. MATCHING SKILL TO REPAIR TYPE

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3. TRACKING INVENTORY

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4. COMPLETING WORK

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RESULTS

Upon launch, warehouses saw a 18% uptick in vehicle utilization week-over-week. With the help of Data Science we were able to validate our hypothesis whether or not that uptick was tied to our launch. Our data strongly indicated a relationship between increased utilization and an overall smaller volume of vehicles sitting broken in our warehouses.

 

Additionally, the team oversaw the launch of our EMEA markets (Europe) specifically Berlin, London, and Amsterdam; where we trained the international teams as well as addressing any bespoke changes that got brought up.

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NEXT PROJECT

UBER SCOOTER

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