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Challenge:

davero dialog, a contact center service provider with 650 employees, faced several challenges in agent onboarding: high turnover, long training periods, and a lack of practical experience among new agents led to inefficient training and varying service quality. Traditional training methods and resource-intensive side-by-side coaching are time-consuming, difficult to scale, and inconsistent in quality.

Solution:

To address these challenges, the Spitch Agent Training Simulator was implemented—an AI-driven training platform that combines realistic call simulation and automated feedback.

Key Features:

  • Practical Simulations: Realistic customer calls in a safe environment, enhancing competence, precision, and customer understanding.
  • Customizable Scenarios: Quickly create or import scenarios with
    variable emotionality, language, accents, and conversational tones (friendly, irritated, etc.).
  • Efficient Learning Curve: Reduce onboarding time by up to 50%
    through intensive, practical learning with AI simulations.
  • Automated Feedback: Direct assessments and concrete suggestions for improvement after each simulation, fostering lasting competency growth.

Benefits:

  • Practical training: Realistic customer conversations – even in complex
    or emotional situations – optimally prepare agents for their daily work.
  • Increased efficiency: Faster deployment through simulation instead
    of lengthy in-person training significantly reduces training time.
  • Cost savings: Up to 30% lower onboarding costs, with less effort required for trainers and training logistics.
  • Continuous training: Continuously improves skills and can be used flexibly for new products or to optimize conversation skills.
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