SeatMatch enhances hiring accuracy with Neural Network Mapping
TEXAS, UNITED STATES — SeatMatch, an Austin-based recruiting and hiring firm, has adopted Neural Network Mapping technology from Aboutly to improve candidate screening and hiring precision.
This proprietary technology analyzes neural patterns during video interviews to provide data on candidates’ behavioral traits and team dynamics.
According to SeatMatch CEO Nancy Slessenger, “This new technology has allowed us to make [recruitment] into a more repeatable and scalable science.”
Specifically, SeatMatch reports their hiring success rate has increased from 88% to 92% after adopting Neural Network Mapping. This indicates nearly all matched candidates still thrive in their roles after one year.
With 15 years of experience and operations in over 10 countries, SeatMatch applies a rigorous 100-point assessment. This robust selection method enables them to provide an industry-leading 12-month guarantee.
Voiceplace CEO Scott Alberts endorsed SeatMatch’s approach, saying it has eliminated wasted time and aggravation typically associated with hiring.
“They are really experts at what they do and have found some amazing team members that really fit our culture,” he added.
Aboutly CEO Benji Rabhan emphasized the significance of their collaboration with SeatMatch, adding that “successful role and team fit is not about personalities and CVs as much as understanding people’s capabilities and interpersonal dynamics at deeper levels.”
“These traditional methods rely heavily on [the] accuracy of self-awareness and honesty. This new leap in brain software science and Neural Network Mapping technology significantly evolves the standards of fit,” he concluded.
