Bias-Mitigating Algorithms
Demonstrated ability for product’s algorithms and models to mitigate biases in talent data
Cat avg: 7.7
Demonstrated ability for product’s algorithms and models to mitigate biases in talent data
Cat avg: 7.7
Quality of AI-driven role definitions within the organization
Cat avg: 7.5
Quality of candidate evaluation and scoring by the product
Cat avg: 6.9
Ability and quality of model candidates as defined/informed by the product
Cat avg: 7.6
Quality of integrations with your existing ATS and recruitment systems
Cat avg: 8.2
Ability for the product to identify existing talent for new positions/advancements
Cat avg: 7.3
Identify and score talent at risk of turnover
Cat avg: 7
Features for products in the Talent Intelligence category
How effectively and easily does the product identify and map existing skills pools within the organization’s talent and candidate pools
Category average: 8.1
Demonstrated ability for product’s algorithms and models to mitigate biases in talent data
Category average: 7.7
Quality of built-in and customizable reporting on talent and candidate diversity
Category average: 8.3
Quality of AI-driven role definitions within the organization
Category average: 7.5
Ability and quality of model candidates as defined/informed by the product
Category average: 7.6
Ability of product to resurface qualified candidates that applied to prior openings
Category average: 7.6
Quality of candidate evaluation and scoring by the product
Category average: 6.9
Ability for the product to identify existing talent for new positions/advancements
Category average: 7.3
Identify and score talent at risk of turnover
Category average: 7
Quality of integrations with your existing ATS and recruitment systems
Category average: 8.2