The Problem: The High Cost of Inefficient & Biased Screening The modern job market is a deluge of applications. Each online job post attracts a global average of 250 applicants, a figure that skyrockets to 1000+ in competitive industries like accounting, consulting, social/digital marketing, and manufacturing operations management. This sheer volume presents a monumental challenge: - Overwhelmed Screeners: Individual evaluators or teams struggle to assess massive candidate pools efficiently, consistently, and with observable fairness. The manual review of resumes alone is a bottleneck, with recruiters spending as little as 7.4 seconds per resume on an initial pass. - Unreliable Resumes: Resumes, the traditional cornerstone of screening, are problematic. Studies reveal that up to 78% are misleading, with 46% containing outright falsehoods. They are easily manipulated, largely unverified (without significant effort), and force employers to base critical decisions on documents they had no hand in preparing. Moreover, resumes are poor predictors of actual job performance. - Ineffective Traditional Methods: - Current skill assessment platforms often present a "black box" – employers lack visibility into the questions asked, or the platforms don't offer automatic, detailed evaluations, shifting the burden back to the employer. - Resumes inherently fail to capture critical performance indicators like structured thinking, reasoning processes, or clarity of speech – all vital for roles in sales, negotiation, and client engagement. - Conventional interviews, while aiming for depth, are often subjective and suffer from poor predictive power, with unconscious biases (gender, race, background) significantly impacting evaluations. Why is this Problem Critically Important? The consequences of flawed screening processes are severe and far-reaching: - Degraded Hiring Outcomes: Inconsistent, unobservable, and inefficient screening directly slows down time-to-hire and diminishes the quality of hires. Companies report that manual screening has an error rate of nearly 60%, meaning qualified candidates are frequently overlooked. - Wasted Resources & Financial Drain: Significant man-hours are wasted by hiring managers, HR teams, and recruiters due to a higher number of unsuccessful interviews, stemming from a suboptimal interview pool. The average cost-per-hire in the US reached $4,700 in 2023, inflated by these inefficiencies. - Damaged Goodwill & Reputation: Frustration from a broken, biased process erodes goodwill among company employees and applicants alike, tarnishing the employer brand. - Lack of Trust & Transparency: "Black box" skill assessments or the absence of automatic evaluations either increase workloads (manual grading) or force employers to trust third-party question relevance, mirroring the resume problem. - Lost Talent: There's often no fallback for hiring managers to review candidates erroneously screened out, leading to valuable talent slipping through the cracks. The Solution: Testera – Intelligent, Job-Specific Skill Assessment Testera is a revolutionary tool leveraging AI to empower employers to create asynchronous, job-specific, multi-format (MCQ, essay, video, audio) skill tests in under a minute. - Effortless & Customizable Test Design: Our AI generates initial tests with detailed mark schemes and guides for each question, presented in an easy-to-edit, Google Form-style interface. Employers retain complete freedom to customize questions and marking criteria. - Seamless Workflow Integration: Published tests generate a shareable link, easily integrated into existing talent acquisition workflows (e.g., "Apply Now" buttons on job boards). - AI-Powered, Unbiased Evaluation: Candidate responses are automatically evaluated by AI against the pre-defined mark scheme, incorporating transcribed audio/video and the context of the job's required skills. Each response is assessed independently on its merits, preventing bias from previous answers. - Comprehensive Feedback & Actionable Insights: For each response, Testera provides: - A precise score. - Overall feedback and score justification. - Detailed strengths and areas for improvement. - A granular breakdown and justification against each criterion in the mark scheme. - Enhanced Data & Reduced Bias: This detailed, AI-processed feedback offers far more robust data points than traditional methods, with no additional employer effort. Mark schemes, using transcribed content, ensure evaluations minimize bias. Original video/audio remains available for human review. - Improved Interview Efficiency: The rich feedback forms a solid basis for in-person interviews, leading to more focused discussions and downstream efficiencies. - Proprietary Anti-Cheat System: Our non-invasive system monitors for common cheating behaviors (tab/window switches, blurs from overlays, copy/paste) without requiring kernel-level access. Post-submission, we fingerprint content, check for plagiarism against other submissions and the internet, and identify the likelihood of AI-generated responses. - Flexible Deployment: Integration is easy and optional. We offer a user-friendly web app, one-click exports to ATS, structured data exports for manual upload, or even self-hosting/whitelabel options.

Testera

AI platform for Job Assessments, Evaluations & Proctoring

AI platform for Job Assessments, Evaluations & Proctoring