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Boosting Confidence for Job Seekers with an AI-Powered Job Search Platform
Job searching can be repetitive and stressful. We designed an AI-powered platform that helps users find relevant roles, create tailored applications and manage their progress in one place.
Problem Discovery
Job seekers spend hours on repetitive applications while feeling uncertain, and anxious in their process.
We set out to simplify the journey, from discovering relevant roles to preparing applications, and tracking progress.
02Our Assumptions
We mapped our early assumptions to identify which challenges needed to be validated through user research.
03Validating our assumptions
Interviews and surveys confirmed that job seekers struggled with repetitive applications, repeated data entry, unclear job fit and fragmented tracking.
Conducted online interviews and surveys with a large group of target users to understand jobseekers main pain points.
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Other key insights found were that...
• Trust concerns — Skepticism about fake job listings, unclear security policies, and lack of transparency hinder trust.
• Irrelevant job suggestions — Users feel overwhelmed by job listings that don’t align with their skills or preferences.
05User Archetypes
Two user archetypes shaped our design decisions.
The research represented two different needs: an experienced professional managing multiple applications and a recent graduate needing more guidance and confidence.
06Competitor Analysis
Competitor analysis showed that Indeed, LinkedIn, Seek and Jora provide useful features but lack a balance of smart AI, simple filtering and clear application tracking.
This created an opportunity to connect job discovery, application support and progress tracking in one experience.
07User Journey Map
Job seekers became frustrated by irrelevant listings and time-consuming applications, causing uncertainty and extra effort throughout the job search process.
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How might we use AI to simplify applications and help job seekers apply with greater confidence?
09Prioritization Matrix
We prioritised the highest-value features for the MVP.
An impact–effort matrix helped us focus on personalised job matching, application tracking, resume support and interview preparation.
10Design approach
Through idea exploration and user research, we identified five core solutions
• Application Tracking — Track applications and statuses
• AI Resume and Cover Letter Tools — Create, tailor and improve application documents
• AI Interview — Practise interviews and receive feedback
• AI Skill Match and Auto-Apply — Match skills with relevant roles and automate applications
• Notifications — Receive application updates and opportunities
11UI Design
Bringing initial ideas to life with our first design iteration.
The first iteration brought job discovery, application support and progress tracking together within one consistent interface.
12User test
Testing revealed an unclear starting point.
Participants were asked to go through the entire flow — from sign-up to exploring the dashboard and trying the AI Jobs Suggestions — and share what felt clear, confusing, or unexpected.
Users understood the Applications hub, but many were unsure what to do after signing in and felt overwhelmed when asked to complete their Bio before seeing job suggestions.
13User Feedback
“I thought I’d see job suggestions right away, but I had to figure out where to start. It felt overwhelming.”
14Iterations & Design Improvements
User testing revealed that users wanted immediate job suggestions, but the system needed Bio data to provide meaningful, personalised matches.
To improve the experience, we:
• Made the Bio the first step after sign-up
• Added progress indicators to guide users
• Renamed “Dashboard” to “Applications” to clarify its purpose
15Impact
After iteration, follow-up testing showed clearer navigation and satisfaction
• Users felt guided instead of lost.
• Job suggestions appeared at the right moment — once user profiles were ready
• Task completion time improved by 15%
Additionally, our AI Job Suggestion feature, powered by Bio data and the AI-driven Skill Match & Apply system, reduced job browsing time by 10%, helping users reach relevant jobs faster with less friction.
16KEY FLOW CHANGES
We introduced a clearer path from sign-up to personalised recommendations
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Guided users through Bio completion
First page after sign up
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Directed completed profiles to AI Job Suggestions
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Renamed Dashboard to Applications
17What we learned
Combining AI automation with human-centred design improved users’ confidence.
We learned that a well-designed, AI-powered platform that blends automation with human-centered design can simplify complex workflows, keeping users confident, informed, and in control throughout every stage of their job search, from discovering opportunities to preparing for interviews.
Reducing Frustration & Boosting Confidence for Job Seekers with an AI-Powered Job Search Platform
Applying for multiple jobs is time-consuming and stressful. Job seekers often fill out different forms and tailor resumes repeatedly. To solve this, we designed an AI-powered platform that streamlines applications and saves time.
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Problem Discovery
Job seekers often spend hours applying while feeling uncertain, anxious, and lacking confidence in their process.
Our team set out to build an AI job platform from the ground up, a one-stop solution that simplifies the job-seeking journey, from creating a strong application to managing interviews and offers.
02Our Assumptions
Before starting our research, we wrote down what we thought might make job searching hard for job seekers of different ages and experience levels.
These guesses helped us decide what to focus on in the next steps.
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03Validating our assumptions
Interviews and surveys revealed job seekers’ frustrations with irrelevant listings and resume uncertainty.
They seek relevance, simplicity, and smart AI to enhance job matching, application tracking, and trust.
We conducted online interviews and surveys with a large group of target users to validate our initial assumptions and furthur understand jobseekers main pain points.
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Other key insights found were that...
• Trust concerns — Skepticism about fake job listings, unclear security policies, and lack of transparency hinder trust.
• Irrelevant job suggestions — Users feel overwhelmed by job listings that don’t align with their skills or preferences.
What Users Said:
• “It takes me hours to apply to just a few jobs. Each site wants the same info in a different format.”
• “I don’t even remember which jobs I’ve applied to anymore. I just bookmark them or try to keep track in a spreadsheet.”
• “Sometimes I’m not even sure if I meet the requirements. The job descriptions are vague or way too demanding.”
• “There’s no clear way to know if I’m a good fit before I apply—I waste time on jobs that aren’t right for me.”
05User Archetypes
Refined our key insights into 2 key personas
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06Competitor Analysis
Understood that platforms like Indeed, LinkedIn, Seek, and Jora offer parts of a good job search experience, but lack a balance of smart AI, easy filtering, and clear application tracking.
AI & Matching
Platforms like Indeed use advanced AI tools to speed up hiring, while others like Seek and Jora lack strong personalization features.
User Experience
Seek and Jora offer clean, simple interfaces, but global leaders like LinkedIn and Indeed often feel cluttered or overwhelming.
Opportunity
Research shows platforms lack a balance between smart AI and intuitive UX, missing chances for better filtering, recommendations, and application tracking.
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07User Journey Map
Job seekers got frustrated by irrelevant listings, time consuming job applying, and confusing resume expectations, causing uncertainty and extra effort in the job search process.
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How can we use AI to simplify applications and boost job seekers’ confidence when applying for multiple roles?
09Prioritizations Matrix
Identified which features offer the most value with the least effort, and which could be postponed or dropped to streamline development and focus on impact.
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10Design approach
Through idea exploration and user research, we identified core solutions designed to make applying jobs easier for jobseekers.
• Application Tracking — Central hub to track all job applications and statuses.
• AI Resume Writing & Feedback — AI-powered resume creation, editing, and ATS optimization.
• AI Interview — Job-specific mock interviews with instant AI feedback and detailed evaluation.
• AI-Generated Cover Letters — Tailored cover letters created from job descriptions.
• Notifications — Alerts for application updates and new opportunities.
• AI Skill Match & Recommendations — Matches skills to jobs, ranks relevancy, and suggests improvements.
11UI Design
Bringing initial ideas to life with our first design iteration.
Landing Page
A visually engaging homepage introducing the platform’s value and highlights core features, pricing, testimonials, and a clear call-to-action.
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12User test
Learning from users: Testing & refining our design
To evaluate how clear and intuitive the MVP experience was, we conducted usability testing with real job seekers after completing the first version of the platform.
Participants were asked to go through the entire flow — from sign-up to exploring the dashboard and trying the AI Jobs Suggestions — and share what felt clear, confusing, or unexpected.
• Users quickly understood that the Dashboard was the main hub
• Many users were confused about what to do immediately after signing in
• Some felt overwhelmed when asked to complete their Bio before seeing any jobs
13User Feedback
Validating Our Design Decisions
To deeply understand user perceptions, we collected qualitative feedback throughout the sessions.
These insights showed us that while the value of the platform was clear, the starting point and flow needed improvement.
• “I thought I’d see job suggestions right away, but I had to figure out where to start. It felt overwhelming.”
• “I like that everything is tracked in one place. I don’t need my spreadsheet anymore.”
• “Once I completed my Bio, the suggestions made sense — but I wish I’d gotten there faster.”
14Iterations & Design Improvements
User Testing revealed that Users Wanted to see Job Suggestions Immediately, but the System Needed Bio Data for Meaningful and personalized Matches.
Our solution:
• Make the Bio page the first step after sign-up.
• Added progress indicators to guide users step-by-step
• Renamed Dashboard → Applications to clarify its purpose as a management hub, not a starting page
15Impact After Iterations
After iteration, follow-up testing showed higher clarity and satisfaction:
• Users felt guided instead of lost.
• Job suggestions appeared at the right moment — once user profiles were ready
• The flow reduced overwhelm and boosted trust in the platform.
• Task completion time improved by 15%
• User success rate improved by 25%
Additionally, our AI Job Suggestion feature, powered by Bio data and the AI-driven Skill Match & Apply system, reduced job browsing time by 10%, helping users reach relevant jobs faster with less friction.
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Rename “Dashboard” to “Applications” so it’s clear it’s a management hub
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Make the “Bio” page first page after sign-up
Add Progress Indicators to guide users
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Users after filling their information goes to the “AI Job Suggestion” page
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03
Rename “Dashboard” to “Applications” so it’s clear it’s a management hub
17What we learned
Our solution showed that blending AI automation with human-centered design can significantly improve users’ confidence.
We learned that a well-designed, AI-powered platform that blends automation with human-centered design can simplify complex workflows, keeping users confident, informed, and in control throughout every stage of their job search, from discovering opportunities to preparing for interviews.