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Revolutionizing Nearshore IT Staffing

Framework Science's TeamStation AI system is revolutionizing the IT staff augmentation industry by aligning top IT talent from Latin America with U.S. companies. Our proprietary AI technology uses custom interview rubrics and structured interviews to ensure optimal talent alignment. 

Here's a step-by-step breakdown of the process:

Step 1: Identifying Prerequisites

The first step in the process is identifying the prerequisites for using semi-structured interviews. It involves understanding the job requirements, company goals, and the specific skills needed for the role. 6

Step 2: Retrieving and Using Previous Knowledge

Framework Science leverages its vast database of over 2.6 million IT profiles to source potential candidates. The AI system deeply analyzes job descriptions, company goals, technologies, and culture to detect correlations and eliminate anomalies in the hiring process. 3

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Step 3: Formulating the Preliminary Semi-Structured Interview Guide

The AI system then formulates a preliminary semi-structured interview guide. This guide is based on the job requirements and the company's needs. It includes a set of structured questions designed to evaluate the candidate's skills, experience, and cultural fit.2

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Step 4: Building Custom Interview Rubrics

Framework Science uses custom interview rubrics to evaluate candidates. These rubrics are designed to provide objective comparisons between candidates and to ensure that the evaluation process is fair and unbiased. 1

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Step 5: Conducting Structured Interviews

The AI system conducts structured interviews using the interview guide and rubrics. These interviews are designed to minimize biases and ambiguities, ensuring that the best candidate is selected. 2

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Step 6: Pilot Testing the Guide

The interview guide is then pilot-tested to ensure its effectiveness. It involves conducting mock interviews and refining the guide based on the feedback received. 6

Step 7: Presenting the Complete Semi-Structured Interview Guide

Once the guide has been tested and refined, it is presented to the hiring team. The team then uses this guide to conduct the actual interviews. 6

Step 8: AI-Driven Candidate Sourcing Automation

TeamStation AI uses AI to automate various tasks, including scanning resumes, screening candidates, and scheduling interviews. It ensures that the best talent is sourced most efficiently. 4

Step 9: Talent Onboarding Automation

Once a candidate is selected, TeamStation AI automates the onboarding process. It includes providing personalized training and support to the new employee. 4

Step 10: Team Performance Monitoring and Evaluations

Finally, TeamStation AI provides tools for monitoring and evaluating the team's performance. It includes tracking employee performance, managing workloads, and identifying potential risks. 4‍

By leveraging AI technology and a structured interview approach, Framework Science's TeamStation AI system transforms the IT staff augmentation industry. It provides U.S. companies a reliable, efficient, and cost-effective way to source top IT talent from Latin America.

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