In a noisy and crowded talent market, talent attraction professionals win or lose depending on their ability to:
The need for effective, data-driven insight is obvious and urgent.
Conventional talent research (CTR) is frequently an expensive disappointment.
Meet EBA.
Decision-oriented cognitive models apply the SPIN™ framework of behavioral affinity to candidate data to identify the factors that turn first-glance impressions into clicks and applications for your company in particular.
Custom cohort evaluation uses candidate data and extrapolative cluster analysis to provide credible, actionable insight into D2E behavioral drivers for top-priority talent types.
Machine learning algorithms deliver brand narrative profiles, offering unique insight into the perceptual frameworks that determine both engagement brand affinity and message credibility with defined candidate personas.
Conventional talent research relies on methodologies designed for consumer brand testing - however, because the cognitive dynamics of product selection are significantly different from those of D2E, the resulting insights are both limited and misleading.
The EBA methodology was designed from the ground up to model the unique dynamics of the candidate decision to engage (D2E) with an employer’s recruiting process - and to provide clear, reliable guidance for employer messaging that resonates with its chosen audience.
CTR relies on segmented data cuts that are incapable of identifying crucial interactions between affinity factors. Such low-dimensional analyses based on inappropriate decision models are minimally (or even adversely) effective guides for employer messaging.
EBA employs machine learning techniques to map candidate perceptions across demographic intersections. This methodology supports the identification of distinct candidate personas and provides a clear and reliable guide for employer messaging that effectively connects with its chosen audience (and can even activate passive candidates who might otherwise be unreachable).
The decision to accept a job offer can take days.
The decision to click on a job posting takes ~1.42 seconds.
Different cognitive mechanics employ different decision drivers - and messaging that might increase an engaged candidate's desire to accept a job offer may reduce their likelihood to engage in the first place.
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