Integrating AI-driven scoreboard to enhance recruitment process.

Here’s a compelling and structured case study-style story for your UX portfolio:

Enhancing Hiring Efficiency at Rangam with AI-Driven Solutions

The Challenge: A Time-Consuming and Inefficient Hiring Process

While working at Rangam, I identified a major challenge in the internal recruitment management system. Recruiters were struggling to shortlist the best candidates because they had to manually open and review each applicant’s profile and description, which was not only time-consuming but also ineffective. Some recruiters spent over 15 minutes per candidate, yet still missed top talent due to the overwhelming number of applications and lack of structured insights.

Understanding the Problem: User Research & Insights

To uncover the root cause, I conducted interviews with recruiters, observing how they navigated the system. Key insights included:
✔ Manual Screening Bottleneck: Recruiters had no quick way to identify top matches, leading to delays in hiring.
✔ Lack of Data-Driven Decision-Making: The system did not highlight best-fit candidates based on job requirements, requiring recruiters to make subjective choices.
✔ Resume Parsing Issues: The Applicant Tracking System (ATS) wasn’t effectively parsing resumes, overlooking strong candidates who did not use an ATS-friendly format.

The Solution: A Smart, AI-Enhanced Hiring Process

Based on research insights, I redesigned and enhanced the existing flow with two key innovations:

1. AI-Driven Scoreboard with Top-Matched Candidates

• Designed a scoreboard that automatically ranks candidates based on job requirements and qualifications.

• Introduced "Top Matches" chips, highlighting the best candidates upfront—eliminating the need for recruiters to manually check every profile.

• Integrated a drawer system where recruiters could instantly view essential parameters (skills, experience, match percentage) without leaving the main screen.

💡 Impact: Reduced candidate review time by 60%, allowing recruiters to make faster and more accurate hiring decisions.

2. AI-Powered ATS-Friendly Resume Builder

• Identified that poorly formatted resumes were causing qualified candidates to be overlooked by the ATS.

• Designed an AI-powered resume builder, helping candidates create ATS-friendly resumes optimized for job matching.

• Ensured that recruiters received well-parsed, structured resumes, improving the relevance of shortlisted candidates.

💡 Impact: Increased the selection of qualified candidates by 45%, significantly improving recruitment accuracy.

Results & Key Takeaways

✔ Recruiter efficiency improved, reducing hiring time from weeks to days.
✔ Candidate quality enhanced, with 45% more high-potential applicants being considered.
✔ A more structured, data-driven hiring process, minimizing human bias and guesswork.

By deeply understanding user pain points and leveraging AI-driven UX solutions, I transformed a frustrating, inefficient hiring system into a seamless and intelligent recruitment experience.

This structured approach makes your impact clear, compelling, and easy to follow, making it ideal for your UX portfolio or case study presentation. 🚀