Internal Mobility Recommendations
Ability for the product to identify existing talent for new positions/advancements
Cat avg: 7.1
Ability for the product to identify existing talent for new positions/advancements
Cat avg: 7.1
Quality of integrations with your existing ATS and recruitment systems
Cat avg: 8.3
Ability of product to resurface qualified candidates that applied to prior openings
Cat avg: 7.8
Demonstrated ability for product’s algorithms and models to mitigate biases in talent data
Cat avg: 7.6
Quality of AI-driven role definitions within the organization
Cat avg: 7.4
Quality of candidate evaluation and scoring by the product
Cat avg: 6.8
Identify and score talent at risk of turnover
Cat avg: 6.8
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: 8.2
Demonstrated ability for product’s algorithms and models to mitigate biases in talent data
Category average: 7.6
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: 7.4
Ability and quality of model candidates as defined/informed by the product
Category average: 7.4
Ability of product to resurface qualified candidates that applied to prior openings
Category average: 7.8
Quality of candidate evaluation and scoring by the product
Category average: 6.8
Ability for the product to identify existing talent for new positions/advancements
Category average: 7.1
Identify and score talent at risk of turnover
Category average: 6.8
Quality of integrations with your existing ATS and recruitment systems
Category average: 8.3