Problem
Intervue enables companies to outsource tech interviews to expert engineers, preserving their internal bandwidth. However, screening 2,000–3,000 candidates to identify the top 5% tech talent remains time-consuming. To streamline this, we introduced AI Agents to conduct initial screenings via web and call-based interviews.
Timeline
From explorations to final designs in 5 weeks while working with multiple projects at the same time
Background
Hiring top-tier technical talent is critical for fast-growing companies. However, traditional interview processes are time-intensive, especially when scaling to thousands of candidates.
Intervue was built to solve this by helping companies outsource their tech interviews to skilled external engineers, protecting internal teams' productivity.
Yet, even with outsourcing, the volume of candidates posed a challenge — companies needed a faster, smarter way to filter potential hires without compromising quality.
This led to the introduction of AI Agents: autonomous interviewers designed to conduct the first layer of candidate screening through web-based and call interactions, helping companies efficiently identify top-performing talent while saving time and resources.
When I started exploring the challenges companies faced with technical hiring, it became clear that the problem wasn't just about conducting interviews — it was about screening at scale.
The primary goal for them was simple — quickly filter out low-fit candidates before investing real time, effort, and money into full interviews.
Manual pre-screening was painfully slow and couldn't keep up with scaling demands.
Users felt they had little control over how AI agents behaved or evaluated candidates.
There was a real fear that AI interviews might assess candidates inaccurately without the ability to fine-tune skills, questions, and tone.
Market Gaps Identified
Existing AI interview tools lacked deep configuration abilities
Most platforms focused only on final interviews, not early screening
No emotional personality setting (robotic agents reduced candidate engagement)
Define skills & requirements
Select key skills (e.g., Python, Java) selected by AI just by uploading your job description file and set seniority levels, designations, and evaluation rubrics to refine the interview process
Interview Agents listing
Makes the user (hiring manager) to pick an AI interviewer specialised in their required domain to conduct seamless, unbiased candidate assessments.
Invite candidates & get Insights
Send interview invites, let AI handle the screening, and receive in-depth reports with recommendations.
Configuration flow
Increased Efficiency
AI flow reduced interview setup time by 60%, from JD to candidate invite in under 10 minutes.
Better Screening Accuracy
80%+ of AI-screened candidates passed final tech rounds, showing high match quality.
Recruiter Productivity Boost
Recruiters handled 2x more candidates weekly with AI handling the initial screening.