L3 Autonomous Vehicle Event Tagging
Summary
Overview
Ford's Next Gen (L3) hands-free, autonomous driving technology is being developed and tested by a fleet of in-vehicle test drivers who evaluate each new branch of code through daily drives with real-time incident reporting.
The original, makeshift event tagging software was slow, unsafe, and not designed for test drivers’ multitasking needs. As a result, their feedback is inconsistent, error prone, and difficult for follow up data collection and categorization thus slowing the feedback loop and overall software iteration process.
I redesigned and redeveloped the event tagging software in a manner that improved tagging speed and accuracy for both the drivers and the engineers who synthesize collected data while also improving in-vehicle safety.
My Role
As the lead designer for this project, I owned all research, UX strategy, UI design, and launch materials. I was also responsible for collaborating with our PM and SEs for a successful roll out and implementation. I defined the new design through contextual inquiry along with follow up driver interviews and usability testing.
Details
scope
Event tagging software for Latitude L3 autonomous vehicle test drivers (~5,000 events/month)
team
2 Designers, 1 PM, 2 Engineers
timeline
7 Months
Links
Event tagging redesign software demo.
New tagging flow utilizes buttons to standardize tagging quickly and safely.
Impact
Business results for this project:
100%
Event tagging language 100% standardized
81%
Improvement in tagging error reduction rate
5,018
Events tagged per month
Ride-alongs for contextual inquiry.
Usability testing early concepts with in-vehicle test drivers.
“Feature Explanation" deck to best explain design decisions and features to both stakeholders and users.
Thanks for stopping by!
If you have a project in mind, or would like to chat, shoot me an email at danmaser@gmail.com. I’d love to hear from you.
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L3 Autonomous Vehicle Event Tagging
Summary
Overview
Ford's Next Gen (L3) hands-free, autonomous driving technology is being developed and tested by a fleet of in-vehicle test drivers who evaluate each new branch of code through daily drives with real-time incident reporting.
The original, makeshift event tagging software was slow, unsafe, and not designed for test drivers’ multitasking needs. As a result, their feedback is inconsistent, error prone, and difficult for follow up data collection and categorization thus slowing the feedback loop and overall software iteration process.
I redesigned and redeveloped the event tagging software in a manner that improved tagging speed and accuracy for both the drivers and the engineers who synthesize collected data while also improving in-vehicle safety.
My Role
As the lead designer for this project, I owned all research, UX strategy, UI design, and launch materials. I was also responsible for collaborating with our PM and SEs for a successful roll out and implementation. I defined the new design through contextual inquiry along with follow up driver interviews and usability testing.
Details
scope
Event tagging software for Latitude L3 autonomous vehicle test drivers (~5,000 events/month)
team
2 Designers, 1 PM, 2 Engineers
timeline
7 Months
Links
Event tagging redesign software demo.
New tagging flow utilizes buttons to standardize tagging quickly and safely.
Impact
Business results for this project:
100%
Event tagging language 100% standardized
81%
Improvement in tagging error reduction rate
5,018
Events tagged per month
Ride-alongs for contextual inquiry.
Usability testing early concepts with in-vehicle test drivers.
“Feature Explanation" deck to best explain design decisions and features to both stakeholders and users.
Thanks for stopping by!
If you have a project in mind, or would like to chat, shoot me an email at danmaser@gmail.com. I’d love to hear from you.
Navigation
Home
Work
About Me
Get in touch
Contact
Resume
Work
About Me
L3 Autonomous Vehicle Event Tagging
Summary
Details
scope
Event tagging software for Latitude L3 autonomous vehicle test drivers (~5,000 events/month)
team
2 Designers, 1 PM, 2 Engineers
timeline
7 Months
Links
Overview
Ford's Next Gen (L3) hands-free, autonomous driving technology is being developed and tested by a fleet of in-vehicle test drivers who evaluate each new branch of code through daily drives with real-time incident reporting.
The original, makeshift event tagging software was slow, unsafe, and not designed for test drivers’ multitasking needs. As a result, their feedback was inconsistent, error prone, and difficult for follow up data collection and categorization thus slowing the feedback loop and entire, overall software iteration process.
I redesigned and redeveloped the event tagging software in a manner that improved tagging speed and accuracy for both the drivers and the engineers who synthesize collected data while also improving in-vehicle safety.
My Role
As the lead designer for this project, I owned all research, UX strategy, UI design, and launch materials. I was also responsible for collaborating with our PM and SEs for a successful roll out and implementation. I defined the new design through contextual inquiry along with follow up driver interviews and usability testing.
Impact
Business results after the 7 months project time span:
100%
Event tagging language 100% standardized
81%
Improvement in tagging error reduction rate
5,018
Events tagged per month
20+
Hours saved per feedback loop cycle
Event tagging redesign software demo.
New tagging flow utilizes buttons to standardize tagging quickly and safely.
Work
About Me
Ride-alongs for contextual inquiry.
Usability testing early concepts with in-vehicle test drivers
“Feature Explanation" deck to best explain design decisions and features to both stakeholders and users.
Thanks for stopping by!
If you have a project in mind, or would like to chat, shoot me an email at danmaser@gmail.com. I’d love to hear from you.
Navigation
Home
Work
About Me
Get in touch
Contact
Resume
Work
About Me
L3 Autonomous Vehicle Event Tagging
Summary
Details
scope
Event tagging software for Latitude L3 autonomous vehicle test drivers (~5,000 events/month)
team
2 Designers, 1 PM, 2 Engineers
timeline
7 Months
Links
Overview
Ford's Next Gen (L3) hands-free, autonomous driving technology is being developed and tested by a fleet of in-vehicle test drivers who evaluate each new branch of code through daily drives with real-time incident reporting.
The original, makeshift event tagging software was slow, unsafe, and not designed for test drivers’ multitasking needs. As a result, their feedback was inconsistent, error prone, and difficult for follow up data collection and categorization thus slowing the feedback loop and entire, overall software iteration process.
I redesigned and redeveloped the event tagging software in a manner that improved tagging speed and accuracy for both the drivers and the engineers who synthesize collected data while also improving in-vehicle safety.
My Role
As the lead designer for this project, I owned all research, UX strategy, UI design, and launch materials. I was also responsible for collaborating with our PM and SEs for a successful roll out and implementation. I defined the new design through contextual inquiry along with follow up driver interviews and usability testing.
Impact
Business results after the 7 months project time span:
100%
Event tagging language 100% standardized
81%
Improvement in tagging error reduction rate
5,018
Events tagged and logged per month by test fleet
Event tagging redesign software demo.
New tagging flow utilizes buttons to standardize tagging quickly and safely.
Ride-alongs for contextual inquiry.
Usability testing early concepts with in-vehicle test drivers
“Feature Explanation" deck to best explain design decisions and features to both stakeholders and users.
Thanks for stopping by!
If you have a project in mind, or would like to chat, shoot me an email at danmaser@gmail.com. I’d love to hear from you.
Navigation
Home
Work
About Me
Get in touch
Contact
Resume
Work
About Me
L3 Autonomous Vehicle Event Tagging
Summary
Details
scope
Event tagging software for Latitude L3 autonomous vehicle test drivers (~5,000 events/month)
team
2 Designers, 1 PM, 2 Engineers
timeline
7 Months
Links
Overview
Ford's Next Gen (L3) hands-free, autonomous driving technology is being developed and tested by a fleet of in-vehicle test drivers who evaluate each new branch of code through daily drives with real-time incident reporting.
The original, makeshift event tagging software was slow, unsafe, and not designed for test drivers’ multitasking needs. As a result, their feedback was inconsistent, error prone, and difficult for follow up data collection and categorization thus slowing the feedback loop and entire, overall software iteration process.
I redesigned and redeveloped the event tagging software in a manner that improved tagging speed and accuracy for both the drivers and the engineers who synthesize collected data while also improving in-vehicle safety.
My Role
As the lead designer for this project, I owned all research, UX strategy, UI design, and launch materials. I was also responsible for collaborating with our PM and SEs for a successful roll out and implementation. I defined the new design through contextual inquiry along with follow up driver interviews and usability testing.
Impact
Business results after the 7 months project time span:
100%
Event tagging language 100% standardized
81%
Improvement in tagging error reduction rate
5,018
Events tagged and logged per month by test fleet
Event tagging redesign software demo.
New tagging flow utilizes buttons to standardize tagging quickly and safely.
Ride-alongs for contextual inquiry.
Usability testing early concepts with in-vehicle test drivers
“Feature Explanation" deck to best explain design decisions and features to both stakeholders and users.
Thanks for stopping by!
If you have a project in mind, or would like to chat, shoot me an email at danmaser@gmail.com. I’d love to hear from you.
Navigation
Home
Work
About Me
Get in touch
Contact
Resume