CDLClarity
Web application that streamlines the attribution process.
https://cdlclarity.io/login/
Product Design
Web App
About Project
the challenge
CDLLife is a digital media company that has the largest online community of truck drivers in the US. They are committed to providing carriers with lead generation and recruiting solutions. One of the services offered to CDLLife clients is CDLClarity, which is designed to simplify their attribution process.
the solution
I was responsible for creating a user-friendly and streamlined process that clients could learn on their own. To achieve this, I delved deep into the nuances of the attribution process, potential edge-cases, and software details used by the majority of companies to get their hire data. After thorough research, I crafted a fast and easy-to-learn tool that guides users through the process and provides clear data that they can rely on.
Company
CDLLife
Project Timeline
October, 2023 - February, 2024
Contribution
Product Designer
Scope
Research
Prototyping
UX/UI Design
Visual Design
Design System
Phase 01
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discovery & definition
Discovery & Definition
As a result of client interviews, the following key problems and challenges have been identified and need to be addressed during the product's development phase.
How can we simplify the attribution process for logistics companies and add value through it?
challenge 01
How can we maintain client data privacy to enhance software credibility?
challenge 02
How can we increase flexibility to accommodate various attribution methods?
challenge 03
Phase 02
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Hypothesis & Solutions
Hypothesis & Solutions
I have been given the responsibility to design the key features of the product in response to the specified challenges.
The software allows users to request a custom attribution model, while also offering the most popular ones by default.
Customizable Attribution Models
The report creation process comprises the minimum number of steps and features quick tutorials to ensure ease of use.
Effortless Report Creation
The software will analyze submitted data and offer suggestions to enhance the hiring process.
Hiring Optimization Suggestions
All data is safeguarded by a PIN from any user including CDLLife, ensuring privacy and security for the profile owner.
PIN-Secured Privacy
Design Solution
phase 03
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Design Solution
The dashboard showcases scores through customizable cards, providing users with the flexibility to arrange them as they please. The final card empowers users to effortlessly request their own personalized attribution model with just a few clicks.
Customizable Attribution Models
The report creation process consists of three steps. Each step offers useful guidelines on how to upload Tenstreet hire reports, ensuring clear validation for the uploaded files and quick resolution of any errors. I collaborated closely with the development team to meticulously design solutions for potential edge cases involving mismatching data, aiming for the smoothest experience possible.
Effortless Report Creation

During the development phase, we realized the importance of explaining errors that could be caused by invalid data in the files.


We carefully reviewed all potential error types to ensure that users would receive detailed information about the issues and clear instructions on how to resolve them. This is aimed at reducing user tension and frustration. In addition, we have also added a form for users to submit help requests or provide feedback.

Comprehensive Error Explanations & User Support
All data is safeguarded by a PIN from any user including CDLLife, ensuring privacy and security for the profile owner.
PIN Secured Privacy
The software will analyze the submitted data and provide suggestions to improve the hiring process and future budget allocations.
Hiring Optimization Suggestions
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