Recruit Genius - AI-powered hiring tool

Recruit Genius is an AI-powered hiring tool that automates initial screening with voice interviews, evaluates candidates based on skills and confidence, and delivers insights to talent recruiters and hiring managers.

Problem Statement

Understanding the Problem Space

The hiring process, particularly within the Whole of Government (WOG), is plagued by inefficiencies in the initial screening stage. Talent recruiters spend an excessive amount of time manually filtering applicants based on structured criteria such as citizenship, experience level, and relevance to job descriptions (JDs). This results in:

1. Significant Time Drain – Recruiters dedicate hours to reviewing resumes and filtering out unqualified candidates before passing them to hiring managers.
2. JD Misalignment – Hiring managers often adjust JDs after screening begins, leading to inefficiencies and repeated work.
3. Hiring Delays – The prolonged initial screening stage contributes to the lengthy time-to-fill positions, often taking up to three months.
4. Limited Strategic Focus for Recruiters – Instead of engaging in high-value activities like talent engagement, employer branding, and workforce planning, recruiters are bogged down with repetitive screening tasks.

Insights from Usability Testing

To validate these challenges, we conducted usability testing with Talent Acquisition (TA) professionals. A key takeaway was the "bus journey problem", where recruiters mentioned that they could only find time for initial screenings during commutes. They would manually scan PDFs, removing non-citizens and non-experienced hires by "swiping" through resumes—highlighting the inefficiency of the current process.

Additionally, recruiters expressed the need for an AI-driven solution that not only automates pre-screening but also ensures better candidate matching. While they were open to AI-powered interviews, they emphasized that the AI should:

• Assist in structuring interview questions but not overwhelm or scare candidates away.
• Focus on relevant criteria like candidate experience, involvement in key projects, soft skills, and aspirations.
• Provide a clear, structured dashboard with overall scores, skill matches, and summarized insights.

Problem Formulation Process

Through a structured problem formulation process, we identified the core inefficiencies and reframed them into a How Might We (HMW) statement:

Final Problem Statement:
"How might we revolutionize hiring, eliminate the need for talent recruiters in the initial screening stage, freeing them to focus on more strategic, high-value work?"

This problem statement aligns with our goal of automating the initial screening process while empowering recruiters to engage in higher-level talent strategy initiatives. By addressing this problem, we aim to reduce hiring timelines, improve JD alignment, and enhance the overall efficiency of the hiring process within WOG.

Our Solution: AI-Powered Hiring, Redefined

Recruit Genius automates the initial screening process, ensuring that only the best-matched candidates reach hiring managers. It addresses key hiring challenges through:

• AI-Optimized Job Descriptions (JDs) – By continuously learning from recruiter decisions, our system refines JDs in real time to attract better-fit candidates.
• Automated Pre-Screening – Recruit Genius instantly filters applicants based on eligibility criteria (e.g., citizenship, relevant experience) and aligns them with job-specific requirements.
• AI-Powered Voice Interviews – Candidates engage in structured voice-based interviews where AI evaluates their responses based on skill relevance, experience depth, aspirations, and soft skills.
• Candidate Ranking & Insights Dashboard – Recruiters receive a ranked list of candidates with overall scores, skill matches, and summarized AI-generated insights.
  End Goal: A seamless, data-driven hiring process that ensures better hires, faster.

How Recruit Genius Works

1. Talent Recruiters Upload CVs – The system scans submitted job postings and collects applicant data.
2. AI-Based Screening & Filtering – Recruit Genius identifies and ranks candidates using smart filters.
3. AI-Powered Voice Interviews – Shortlisted candidates undergo automated interviews, providing deeper insights.
4. Dynamic JD Optimization – The AI continuously updates the job description based on recruiter decisions, improving future hiring rounds.
5. Final Selection & Insights Dashboard – Hiring managers receive AI-processed evaluations and sentiment analysis.

Impact and Outcomes Analysis

The usability testing with recruiters provided key insights:

• Recruiters strongly value AI-powered filtering to save time in initial screenings.
• The AI should assist in structuring interviews but avoid overwhelming candidates with rigid or irrelevant questions (e.g., salary expectations).
• The system must differentiate between CV fluff and real skill relevance.
• Hiring managers seek a clear, structured dashboard displaying an overall score, skill match, and summary insights.

Projected Benefits:

• Time Savings – Recruiters reclaim hours previously spent on manual pre-screening.
• Hiring Efficiency – Reduces time-to-fill positions from three months to under one month.
• Improved JD Quality – AI dynamically refines JDs based on hiring patterns, ensuring better candidate fit.
• Data-Driven Hiring – AI insights empower hiring managers with structured decision-making tools.

Competitive Landscape

Recruit Genius stands out in the market compared to existing solutions:

1.Pre-Screening Advantage – Unlike Jumpstart, which only processes mass CV submissions, Recruit Genius sits one step earlier in the hiring journey, ensuring better candidate quality upfront.

2.Public Sector-Specific Matching – WOG job roles require different skillsets compared to private sector counterparts. Confidence in Candidate Fit – Recruit Genius ensures hiring managers receive candidates aligned with both JD and public sector expectations, bridging the JD vs. actual role gap unique to WOG.

For example: Product Manager (WOG) → mission driven, policy-impact, focused on public good vs Product Manager (Private) → Profit-driven, commercially focused.

The future of RecruitGenius

• Further Usability Testing – Expand trials with more recruiters and hiring managers to refine AI filtering and voice interview models.
• Sentiment Analysis Research – Conduct market research on sentiment analysis scoring algorithms to enhance candidate assessment metrics.
• Pilot Deployment in Government Agencies – Work with WOG entities to test and refine Recruit Genius in real hiring scenarios.
• Enhancing JD Optimization Features – Improve the AI’s ability to refine JDs dynamically based on recruiter interactions.
• Scalability & Expansion – Plan integrations with existing ATS platforms like Greenhouse and Workday for seamless adoption.

Team Members

• William Wong (PSD)
• Rae Zhang (PSD)
• Harish Srinivasan (PSD)
• Shawn Khoo (PMO)
• Poh Boon Cheong (GovTech)
• Yvonne Sia (GovTech)