Auto-Video Capture:
AI-Powered Vehicle Inspection

Final Deliverables:

Video Concept Prototype
UIUX Screens

Time Frame:

1 Month

Team Size+Role:

Team of 6
UI/UX Designer, Illustrator, Motion Designer

Programs Used:

Adobe Illustrator/Photoshop/After Effects/Miro

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Touchless Claims: The Holy Grail

Processing a car insurance claim is a horrible cocktail of stress and complexity. From the initial FNOL (first notice of loss) to settlement, there is a lot of data that the user needs to provide accurately while in a high-stress situation. As we move towards a future where automation and AI have greater influence over our daily lives, insurance claims is a natural area that stands to benefit from it.

"Touchless claims" is a concept in which an insurance claim can be processed with little to no human intervention; a person can file their claim, receive the information they need to make a judgement call on whether to file or pay out of pocket, and get their settlement without requiring contact with an insurer, adjuster, or shop. Although this is a user experience that is still down the road, CCC invests time and effort in designing for this future through applying AI into discrete flows in the process. 

I had the pleasure of working on applying machine learning algorithms such as real-time photo tagging, vehicle parts deconstruction, and augmented reality into a portion of the claims flow known as Quick Estimate. This design process started with this question:


How might we harness various existing AI models to improve the repair cost estimate step of a claim, and provide users a more seamless, automated experience? 

The One-Week Design Sprint

This project kicked off with a week-long design sprint. I and other members of the UIUX team participated to quickly generate solutions in a chaotically systematic fashion. Day 1's agenda involved articulating the problem statement, brainstorming what the obvious user needs and constraints are, and jotting down preliminary ideas and early hurdles. 

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Focusing on the Happy Path

Day 2 built upon the first day's contextual setup by providing a day to create a user flow that encompassed the problem, as well as the surrounding apps and CCC products. This way, our solution can be grounded in a solid foundation, and not just a fantasy-writing exercise. Certain off-shoot user journeys were created as well, to cover other scenarios outside of the "happy path" (where no problems occur during the flow). From there, the exact user journeys that would be explored were decided upon and storyboarded out going into Day 3.

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Concept Sketches and Storytelling

Day 4 was the solution-generation day. Different ideas and methods of handling the user journey and answering the various problems were discussed and storyboarded out. Most solutions centered around the use of augmented reality to guide the user through the automatic inspection process. How the guided experience manifested itself in the interface without being confusing or putting the user's safety at risk were big challenges.

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Preliminary Prototypes

Day 5 was the day of main solution selection via vote, as well as taking that solution and further refining the details and execution. Static prototypes of the AR solution for both the vehicle walk-around and damage close-up analysis were produced to help give a better idea before moving on to the final motion prototype and accompanying screens.

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The Final Concept

The final concept video was made with both After Effects and some on-site filming. A film script was produced with certain user journey story beats in mind, to ensure that all aspects of the solution and experience would be represented in the recording. The UIUX elements were added after the fact over the video based on these notes to create a prototype that comes close to mimicking the real thing. 

Accompanying mobile screens were also created to help tell the story of how this AR experience leads to a quick and efficient repair cost estimate generation. This idea can change the way consumers go through the claims process, as they can potentially inspect their vehicle themselves and decide with accurate predictions whether they should go through with filing the claim or paying out of pocket. The screens themselves were branded for State Farm, as this project was later used for a client-facing presentation with them.

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