TalVista Description
The TalVista conscious inclusion decision support platform helps users be more aware of bias through data-driven hiring and a view that goes beyond the noise of unconscious bias.
Use scientific research-based algorithms to create more effective job descriptions. You can get real-time feedback to help you create job listings that attract both male and female candidates. Our job description optimization analyzes the job description and identifies problematic words based on research that have been proven to discourage underrepresented applicants from applying for a job. We are the only platform that does not consider gender parity. This allows us to attract the most diverse applicants to the job.
We have digitalized the process for reviewing candidate resumes. Your interviews should be focused on the best indicators of job success. Assign questions to interviewers that are focused on the core job requirements and criteria.
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- How engineering teams use real-time customer data to achieve business goals.
- How to elevate your business to a new level of engineering efficiency with AI.
- Strategies used by engineering teams at Instacart, Staples Canada, Televisa Univision, CrossFit, and ClearScore to improve KPIs and drive efficiencies.