Crashview
Quantiv
Quantiv
Quantiv
Risk
Risk
Risk
This project is protected by NDA agreement.
The company's name, logo and colors were changed.
This project is protected by NDA agreement.
The company's name, logo and colors were changed.
NOTE
This project is protected by NDA agreement.
The company's name, logo and colors were changed.
Designing a platform that helps people understand Tesla Autopilot accidents
Role
Role
UX/UI Designer
UX/UI Designer
Domain
Domain
Insurance · Legal · Autonomous Vehicles · Explainable AI
Insurance · Legal · Autonomous Vehicles · Explainable AI
Vehicle Scope
Vehicle Scope
Tesla (Autopilot / FSD)
Tesla (Autopilot / FSD)
Compliance
Compliance
SOC 2 / Enterprise Grade
SOC 2 / Enterprise Grade
Project overview
Project overview
QuantivRisk is a web application called Crashview. It is built specifically for Tesla cars. When a Tesla gets into an accident — especially when the car was driving itself (Autopilot mode) — it becomes very hard to figure out who was responsible. Was it the driver? Was it the car's AI system?
Crashview solves this. It takes the data Tesla provides after an accident and turns it into something that anyone can read, understand, and use to make a fair decision.
I'm a digital designer that design and development highend project with effortable price
Product
Web-based accident analytics platform (Crashview)
Data Sources
Tesla-provided CSV (telemetry) + Video files
Users
Insurance adjusters, Car owners, Lawyers
Compliance
SOC 2 / Enterprise Security / Consent-First
Background & context
Background &
context
Car accidents used to be simple to investigate. There was always a human driver behind the wheel. You could look at the police report, talk to witnesses, and decide who was at fault. But Tesla changed this. Tesla cars can drive themselves using a system called Autopilot or Full Self-Driving (FSD). When one of these cars gets into an accident, the old way of investigating doesn't work anymore.
I'm a digital designer that design and development highend project with effortable price
Problem Statement
Problem Statement
When a Tesla crashes while Autopilot is on, nobody can easily tell who was responsible — the driver or the car. The raw data Tesla provides is too technical for most people to understand. This leads to unfair decisions, long delays, and a lot of stress.
Here is what goes wrong step by step :
A Tesla on Autopilot has an accident
The driver's insurance company asks: was it the driver's fault or the car's fault?
The insurance adjuster guesses, or the claim drags on for months
The car owner feels confused and powerless
How do we take complex Tesla car data and turn it into something clear, fair, and trustworthy — so that everyone can understand what happened and make a good decision?
How might we design a Tesla-specific accident intelligence platform that transforms complex Autopilot and vehicle data into clear, trustworthy, and explainable insights — so insurers can determine liability, lawyers can defend claims, and car owners can receive fair outcomes?
Design Challenge
QuantivRisk needed to build Crashview while simultaneously navigating a set of constraints that made this far more than a standard dashboard design project. The challenge was not just technical — it was experiential and ethical. Crashview needed to innovate without compromising trust, compliance, or enterprise security expectations.
QuantivRisk needed to build Crashview while simultaneously navigating a set of constraints that made this far more than a standard dashboard design project. The challenge was not just technical — it was experiential and ethical. Crashview needed to innovate without compromising trust, compliance, or enterprise security expectations.
QuantivRisk needed to build Crashview while simultaneously navigating a set of constraints that made this far more than a standard dashboard design project. The challenge was not just technical — it was experiential and ethical. Crashview needed to innovate without compromising trust, compliance, or enterprise security expectations.
Challenge
Challenge
Challenge
Tesla-only data
We had to design around exactly what Tesla gives — a CSV file and a video. Nothing more.
No direct Tesla connection
The app can't pull data automatically. The car owner has to upload it manually.
Car owner must give permission first
The law says we can't analyse the data until the owner agrees. This needed careful UX design.
AI that explains itself
We used AI to help analyse data — but we couldn't just show a result. We had to show the proof behind every conclusion.
My Role
My Role
I was the UX/UI Designer on this project. I was responsible for the full design process — from understanding the problem to designing every screen of the web app.
I was the UX/UI Designer on this project. I was responsible for the full design process — from understanding the problem to designing every screen of the web app.
I was the UX/UI Designer on this project. I was responsible for the full design process — from understanding the problem to designing every screen of the web app.
What I Did
What I Did
What I Did
UX Research
Studied the insurance world, Tesla data, and user needs to understand the problem deeply
Created Personas & User flow
Defined who the three users are, what they need, and how they think. Mapped out every step each type of user takes inside the app
Information Architecture & Dashboard Design
Decided how the app is organised — what goes where and why. Designed the main screens: the video view, graphs, insights, and reports
AI Design Patterns & Compliance Design
Figured out how to show AI-generated insights in a way that people can trust. Made sure the design follows security and legal rules without feeling complicated
How I Did My Research
How I Did My Research
Normally, a UX designer would sit down with real users and interview them. But this project was different. The users — insurance adjusters, lawyers, and accident victims — are not easy to reach. They are either too busy, legally restricted from sharing information, or going through a difficult personal situation. So instead of forcing research that would not be realistic, I used a set of research methods that are standard practice for complex, legal, and enterprise products. These gave me just as much — sometimes more — useful insight.
Normally, a UX designer would sit down with real users and interview them. But this project was different. The users — insurance adjusters, lawyers, and accident victims — are not easy to reach. They are either too busy, legally restricted from sharing information, or going through a difficult personal situation. So instead of forcing research that would not be realistic, I used a set of research methods that are standard practice for complex, legal, and enterprise products. These gave me just as much — sometimes more — useful insight.
Normally, a UX designer would sit down with real users and interview them. But this project was different. The users — insurance adjusters, lawyers, and accident victims — are not easy to reach. They are either too busy, legally restricted from sharing information, or going through a difficult personal situation. So instead of forcing research that would not be realistic, I used a set of research methods that are standard practice for complex, legal, and enterprise products. These gave me just as much — sometimes more — useful insight.
Why Real User Testing Was Not Practical Here
Insurance adjusters — bound by confidentiality, cannot discuss active claims Lawyers — attorney-client privilege prevents sharing case specifics Car owners — accident victims are an ethically sensitive and hard-to-recruit group Claiming fake interviews would reduce credibility, not increase it
Research Method
Background &
context
Secondary Research — Learning From what already exists
What I did. : I read articles, reports, and documentation about how Tesla Autopilot works, how insurance companies handle car accident claims, and how courts use vehicle data as evidence.
I'm a digital designer that design and development highend project with effortable price
What I found : The problem isn't that the data doesn't exist. The problem is that nobody has made it easy to understand. Autopilot accident claims take much longer to settle than normal ones — and the main reason is confusion, not lack of information.
I'm a digital designer that design and development highend project with effortable price
Expert-Informed Analysis — Learning from the professional
What I did : I studied how insurance adjusters work, what lawyers need from evidence, and what the automotive safety industry says about ADAS (driver assistance systems). I used published guides, expert talks, and official documentation.
I'm a digital designer that design and development highend project with effortable price
What I found : People who deal with accident claims for a living don't want AI to give them an answer. They want evidence they can check, verify, and defend. Trust must be earned through transparency.
I'm a digital designer that design and development highend project with effortable price
Assumption Mapping — Writing Down what I assumed and testing it
What I did : I listed every assumption I was making about how users would behave and what they would need. Then I checked each one against what I knew from research.
I'm a digital designer that design and development highend project with effortable price
What I found : Five key assumptions were confirmed and directly shaped the design. The biggest one: people don't trust AI conclusions unless they can see the evidence behind them.
I'm a digital designer that design and development highend project with effortable price
Job to be done — Focusing on what people are trying to achive
What I did : Instead of asking 'who are the users?', I asked 'what are they trying to get done?' This helped me focus the design on outcomes, not features.
I'm a digital designer that design and development highend project with effortable price
What I found : Each of the three roles has a very different job. Designing for their job — not just their identity — led to better decisions.
I'm a digital designer that design and development highend project with effortable price
Task Analysis - Breaking down what users actually do step by step
What I did : I mapped out every task each user type needs to complete inside the app — from uploading the files all the way to downloading the final report.
I'm a digital designer that design and development highend project with effortable price
What I found : Some tasks were far more complex than they appeared. This analysis is what led me to split the app into tabs — so users aren't overwhelmed by everything at once.
I'm a digital designer that design and development highend project with effortable price
Role Based journey mapping - seeing the experience through each person's eye
What I did : I created a separate step-by-step journey for each of the three user types. This showed me how different their experience is — even though they're all looking at the same data.
I'm a digital designer that design and development highend project with effortable price
What I found : The insurance adjuster, car owner, and lawyer enter the app in different emotional states with different goals. A single design would fail all three. Separate journeys led to the right decisions.
I'm a digital designer that design and development highend project with effortable price
Explanable AI Principles — Making sure the AI earns its place
What I did : I applied a set of rules to make sure every AI-generated insight in the app could be understood and verified by the user.
I'm a digital designer that design and development highend project with effortable price
What I found : AI that hides its reasoning is useless in legal and insurance contexts. Every sentence the AI produces must be traceable to a specific timestamp or data point that the user can check themselves.
I'm a digital designer that design and development highend project with effortable price
What i Learned from research
Background &
context
The research pointed to eight core things I needed to design for. Each one led directly to a design decision
I'm a digital designer that design and development highend project with effortable price
What i Learned
The same data means different things to different people
People trust transparency more than AI confidence
The exact second Autopilot turned off is the most important thing
Consent must feel meaningful, not just legal
Raw data makes people feel in control, even if they rarely look at it
Car owners are the most emotionally stressed users
Showing when Autopilot switched off is more useful than just labelling it
Enterprise users need to see compliance signals in the interface
What I did because of It
Separated the app into tabs: Insights, Analytics, Data, Docs
Made sure all raw evidence is always visible — nothing is hidden
Built a real-time countdown synced to the video and all data
Designed the consent step as a proper, clear interaction
Always kept the Data tab accessible to all users
Created simple, plain-language summaries just for them
Built a driving mode timeline as a key visual element
Added visible security and consent indicators throughout
Who Are the Users? (Personas)
Background & context
Senior Insurance Claims Adjuster
👔 Michael Reynolds
"We build simple, scalable websites that are visually striking and effortless to use."
Their Goals
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
Their Frustrations
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
What They Want to Do
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
What They Need from the App
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
Senior Insurance Claims Adjuster
👔 Michael Reynolds
"We build simple, scalable websites that are visually striking and effortless to use."
Their Goals
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
Their Frustrations
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
What They Want to Do
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
What They Need from the App
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
Senior Insurance Claims Adjuster
👔 Michael Reynolds
"We build simple, scalable websites that are visually striking and effortless to use."
Their Goals
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
Their Frustrations
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
What They Want to Do
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
What They Need from the App
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
Tesla Model Y Owner / Insurance Policyholder
🚗 Sarah Patel
"I just want to know what happened — and that I'm being treated fairly."
Their Goals
Understand what the car was doing at the time of the crash
Make sure she's not blamed for something that wasn't her fault
Get the claim sorted out quickly so she can move on
Feel like someone is on her side
Their Frustrations
She doesn't understand what a CSV file is — and she shouldn't have to
Back up his decisions with solid evidence
The whole process feels confusing and scary
She doesn't know if the insurance company is making a fair decision
Nobody explains anything to her in plain language
What They Want to Do
Upload the files Tesla gave herBack up his decisions with solid evidence
Give her permission for the data to be analysed
Read a simple explanation of what the findings mean
What They Need from the App
Step-by-step instructions that don't assume technical knowledgeBack up his decisions with solid evidence
Simple sentences, not charts and graphs
Reassurance that her data is safe and only used with her permission
Clarity about what the outcome means for her claim
Tesla Model Y Owner / Insurance Policyholder
🚗 Sarah Patel
"I just want to know what happened — and that I'm being treated fairly."
Their Goals
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
Their Frustrations
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
What They Want to Do
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
What They Need from the App
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
Tesla Model Y Owner / Insurance Policyholder
🚗 Sarah Patel
"I just want to know what happened — and that I'm being treated fairly."
Their Goals
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
Their Frustrations
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
What They Want to Do
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
What They Need from the App
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
Automotive & Insurance Litigation Lawyer
⚖️ Daniel Brooks
"If I can't explain it clearly in court, it's useless to me."
Their Goals
Find objective evidence that supports or challenges a claim
Make sure the data hasn't been altered or misrepresented
Build a strong legal argument that stands up under questioning
Prepare documentation that works in a courtroom
Their Frustrations
He is very sceptical of AI tools that don't show their working
Incomplete or unclear evidence makes his job harder and riskier
He needs the video and the data to line up perfectly
Reports that aren't properly structured are difficult to use in court
What They Want to Do
Review the raw data without being forced through a summary first
Check that the AI's conclusions match what the data actually shows
Export clean, structured documentation for legal proceedings
What They Need from the App
Full access to raw data — no forced summaries
Complete transparency about how every conclusion was reached
A clear record of where the data came from and who accessed it
Court-ready reports he can download and use directly
Automotive & Insurance Litigation Lawyer
⚖️ Daniel Brooks
"If I can't explain it clearly in court, it's useless to me."
Their Goals
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
Their Frustrations
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
What They Want to Do
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
What They Need from the App
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
Automotive & Insurance Litigation Lawyer
⚖️ Daniel Brooks
"If I can't explain it clearly in court, it's useless to me."
Their Goals
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
Their Frustrations
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
What They Want to Do
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
What They Need from the App
Make the right liability decision without delays
Back up his decisions with solid evidence
Reduce disputes and claims that escalate to legal
Stay compliant with insurance regulations
How the Data Actually Works
Background &
context
Rather than designing an unrealistic 'real-time Tesla integration,' the platform was built around how Tesla actually provides accident data to vehicle owners. This decision directly impacted every aspect of the UX.
I'm a digital designer that design and development highend project with effortable price
Step
Step 1
Step 2
Step 3
Step 4
Step 5
Step 6
Step 1
Step 2
Step 3
Step 4
Step 5
Step 6
Action
Accident occurs
Owner requests data on Tesla's official
website using VIN + time range
Tesla provides CSV telemetry
file + video footage
Car owner uploads both
files to Crashview
Car owner reviews and signs
explicit consent form
Analysis begins; all stakeholders
can access insights
Accident occurs
Owner requests data on Tesla's official
website using VIN + time range
Tesla provides CSV telemetry
file + video footage
Car owner uploads both
files to Crashview
Car owner reviews and signs
explicit consent form
Analysis begins; all stakeholders
can access insights
Actor
Car owner
Car owner → Tesla
Tesla → Car owner
Car owner → System
Car owner
System → All roles
Car owner
Car owner → Tesla
Tesla → Car owner
Car owner → System
Car owner
System → All roles
Note
Event trigger
Official channel127463
Within 1 working day
Manual, consent-gated
Legal & UX checkpoint
Evidence-first output
Event trigger
Official channel127463
Within 1 working day
Manual, consent-gated
Legal & UX checkpoint
Evidence-first output
Why This Consent-First Approach Was a Critical UX Decision
Legally sound — no data processed without explicit user authorization
Authentic — all data is directly from Tesla, not reconstructed or estimated
Trustworthy — car owners are in control of their own evidence
SOC 2 aligned — clear data provenance and audit trail from first upload
Ethical — respects user agency in a high-stakes, emotional situation
I'm a digital designer that design and development highend project with effortable price
UX Strategy
Background &
context
Evidence first → Insights second → Decisions never without context.
I'm a digital designer that design and development highend project with effortable price
This principle ensured that:
No biased conclusions were presented
All AI insights remained traceable to visible source data
Users of every role could verify what the system was telling them
The platform could withstand legal and regulatory scrutiny
I'm a digital designer that design and development highend project with effortable price
UX Principle
Evidence First
Insights Second
No Black-Box Decisions
Role-Appropriate Depth
Compliance by Design
What It Means in Practice
All raw data is always accessible and never hidden from users
AI interpretations are secondary — always paired with proof
Every conclusion can be traced to a timestamp, value, or event
Each role sees what they need first; complexity is progressive
Trust signals and audit trails are built into the visual hierarchy