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TaTiO: AI Guidelines and System Overview

Core Value Proposition

TaTiO pioneers a shift from traditional resume screening to evidence-based hiring through observable performance. As generative AI standardizes written applications, text-based signals are becoming less reliable. In fact, 86% of U.S. hiring managers report that AI makes it easier for candidates to exaggerate or misrepresent skills on resumes. TaTiO addresses this challenge by capturing actual task behavior, providing employers with structured, comparable, performance-based evidence to qualify talent. This approach is not only highly predictive but also candidate-friendly, as 89% of candidates prefer hiring processes that include skills-based assessments.

Key Features & Capabilities

  • Virtual Job Simulations: We provide structured, role-relevant scenarios that mirror actual job interactions, allowing organizations to gather observable evidence of readiness at scale.

  • Performance-Based Evidence: By shifting the focus from stated skills to demonstrated ability, TaTiO captures real task behavior—such as prioritization, communication, and problem-solving—rather than relying on self-reported information.

  • Unbiased, Equitable Screening: Observable performance levels the playing field, granting early-career candidates, career switchers, and those from non-traditional backgrounds a fairer opportunity to demonstrate their real-world capabilities.

The Cost of Low-Signal Hiring

Relying primarily on low-signal hiring methods, like resumes and unstructured interviews, leads to significant time and cost escalation, including increased recruiter screening time, manager interview hours, and time-to-fill delays. Furthermore, these weak early-stage signals often result in costly hiring mismatches. Research indicates that a bad hire can cost up to 30% of an employee's annual salary. TaTiO mitigates these risks by providing stronger evidence earlier in the process, identifying strong candidates quickly, and reducing overall hiring risk.

Important Links

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