Conventional talent insight products rely on consumer research practices that fail to account for the unique cognitive dynamics of candidate decision-making.
EBA was designed from the ground up to model the actual challenges recruiters face - and to support actual recruiting decisions within actual recruiting budgets.
CANDIDATE ENGAGEMENT METRICS AT A GLANCE
Custom data visualization options present intuitive, exportable insights into engagement brand performance, competitive positioning, and key candidate profiles. Multi-wave EB analysis enables affinity tracking and emerging trends in talent perceptions and performance vs. targeted cohorts and competitors.
INTEGRATED ENGAGEMENT DRIVER EVALUATION
The SPIN cognitive model of employer affinity maps candidate data against key associative clusters to identify drivers of candidate engagement. Insight into the interactions between candidate perceptions and employer affinity empowers recruiters to “unmix messages” and drive increased rates of talent engagement.
ENGAGEMENT BRAND AFFINITY TRACKING
Engagement Brand Affinity scores track candidate inclination to engage with an employer. Sub-visualization by industry, talent type and demographic cohort provides strategic and tactical guidance for candidate engagement
CANDIDATE ENGAGEMENT PROFILES
Taking a step beyond engagement brand analysis, machine learning analytics enable the identification of distinct engagement narrative profiles. The isolation of dynamically isomorphic candidate cohorts reveals the underlying narrative structures that drive the decision to engage with an employer.
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