Case study

Staff.am

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Staff.am is a pioneering platform that leverages the power of AI technology to transform talent acquisition for employers and job hunting for seekers, enhancing their visibility and experience. Our platform seamlessly integrates with leading social networks and offers tailored customer support, along with innovative solutions, to deliver an innovative recruitment experience that benefits both job seekers and employers alike.

Overview
Problem Statement
Results
Design
Gallery
Solution

Problem Statement

  • Complex Existing Platforms: Many existing job platforms are overly complex, making the recruitment process unnecessarily intricate.
  • Navigation Difficulties: Job seekers and employers often find these platforms hard to navigate, leading to frustration and inefficiency.
  • Lack of Matching Tools: These platforms frequently lack essential matching tools, hindering the seamless pairing of job seekers with the right job listings.
  • Employer Struggles: Employers encounter difficulties in identifying candidates with the precise skills and qualifications they require.
  • Job Seeker Frustration: Job seekers often find it cumbersome to discover job listings that align with their qualifications and career aspirations.

Results

1. Enhance User Experience for Job Seekers and Employers

  • Key Result 1: Achieved an average user satisfaction rating of 4.5+ out of 5 in user feedback surveys.
  • KPI 1: Monitored user satisfaction through surveys, considering the user experience and overall satisfaction with the platform.

2. Improve Matching and Search Capabilities

  • Key Result 1: Enhanced the matching accuracy, resulting in a 30% increase in successful job placements.
  • KPI 1: Tracked the percentage of successful job placements to gauge the effectiveness of matching algorithms.

3. Simplify Navigation and User-Friendly Design

  • Key Result 1: Reduced user drop-off rates during the job search process by 20% through improved navigation and user-friendly design.
  • KPI 1: Measured drop-off rates to assess the ease of navigation and user-friendliness of the design.

4. Increase User Engagement and Activity

  • Key Result 1: Achieved a 33% boost in user engagement, measured by the number of job applications and employer inquiries.
  • Key Result 2: Achieved a 30% decrease in customer support issues.
  • KPI 1: Tracked the volume of job applications and employer inquiries as a measure of user engagement.
  • KPI 2: Monitored the percentage decrease in customer support issues by comparing it to the previous periods.

UX Research

  • User Surveys: In-depth user surveys were conducted to glean insights into the specific pain points and needs of job seekers and employers.
  • Usability Testing: Rigorous usability testing was executed to ensure the platform's user-friendliness and efficiency.
  • Feedback Integration: Continuous collection and analysis of user feedback played a pivotal role in steering the design and feature enhancements to meet users' expectations.

Design

  • The design of Staff.am was conceived with a deep commitment to user-centricity. This resulted in a clean and visually engaging interface.
  • The platform was designed with responsiveness in mind, ensuring a seamless user experience across various devices.
  • Continuous user feedback and usability testing were integral in shaping the user-friendly platform, ensuring it met the needs and expectations of its users.

Solution

The core approach was rooted in user-centric design principles. Through extensive research and the application of these principles, an intuitive platform was created with efficient matching tools. These tools included:

  • Efficient Matching: Advanced algorithms that proficiently match job seekers with suitable job listings, taking into account detailed requirements from employers and comprehensive profiles from job seekers.
  • Advanced Search Features: The platform incorporated advanced search filters, empowering job seekers to sort job listings by parameters such as job title, location, salary, and industry. Employers, too, were given the capability to sort candidates based on education level, work experience, location, skills, and more.
  • Personalized Job Recommendations: Staff.am went a step further by providing tailored job suggestions based on job seekers' skills, experience, and career aspirations, facilitating efficient matching.

Process:

  • Discovery & Ideation
  • Research
  • Information Architecture
  • Design
  • Usability Testing

Tools:

  • Sketch
  • Zeplin
  • Adone Illustrator
  • Adobe After Effects
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