App Career Mate

CareerMate is an app designed for job searching for blue-collar professionals.

TL;DR

One-month sprint to design a mobile-first marketplace connecting hands-on workers and small employers. We simplified search and posting, added fast screening and lightweight messaging.

Impact

In usability sessions, users finished core tasks faster with fewer errors, had clearer next steps via explicit statuses, preferred the posting wizard and inbox-style messaging, and reported lower cognitive load on mobile.

Problems

Filters and search felt complex on small screens, leading to drop-offs before viewing relevant jobs.
Applying required multiple steps and repeated data entry, with unclear confirmation and next steps.
Employers struggled to post quickly and review candidates without bouncing between pages.
Status transparency was poor for both sides; candidates did not know where they stood, employers lost track of pipelines.
Messaging was fragmented, causing slow back-and-forth for basic questions like availability or location.

Process

Rapid interviews and desk research to map pains for job seekers and small employers. Role-based IA and shortest paths for find or apply and post or review. Clickable mobile prototype, task-based tests, and iterations on filter defaults, labels, and success states.

Users & Opportunity

Most job platforms skew toward office roles and feel heavy for workers and small employers. The opportunity was to surface essentials first—location, schedule, pay, skills—and streamline the apply/post loop for both sides.

User persona

CJM

User flow

Solution

These screens introduce the core entry flow of the platform: users can quickly sign in via email or social media, choose their role as either a job seeker or an employer, and then land on a personalized home screen. The home screen highlights popular categories like babysitters, dog sitters, and tutors, making it easy to browse and connect with the right specialists or opportunities.

Login

These screens show the process of finding specialists: first, users can refine their search with preferences such as the nanny’s gender, then view a detailed list of candidates with ratings, hourly rates, completed tests, and recommendation scores. Finally, a simplified list view highlights active specialists, making it easy to compare and choose the right match quickly.

Specialist search flow

These screens show how employers and specialists interact. The profile screen highlights worker details like rating, verification, rate, and background, helping employers choose confidently. The edit profile screen lets specialists manage their data for transparency, while the chat screen enables direct communication to discuss job details and expectations, ensuring a smooth hiring process.

Specialist interaction flow

These screens illustrate how users manage the hiring process: the order screen shows available job postings with key details like price, location, and schedule; the calendar helps users track and organize confirmed bookings; and the messages screen enables direct communication, making coordination between employers and specialists seamless and efficient.

Job management made simple

These screens show AI-powered tests and interviews where users answer questions via audio or video. The system analyzes responses and provides scores that impact their rating and visibility, ensuring fair evaluation and employer trust.

AI tests and interviews ensure fair assessment

UI kit

This is a prototype of the application

Results

Faster task completion with fewer errors during usability tests.
Clear status indicators improved user understanding of next steps.
The job posting wizard and message-style communication felt intuitive and easy to use.
Reduced cognitive load, especially on mobile, making the platform more accessible for busy users.

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