Business
Challenge:

Optimization of trainer Allocation for Technology Training

Our client, a technology giant, conducts large-scale training events to educate customers on their latest software and services with the help of partners. Faced with the need to re-evaluate their training format and trainer requirements, the client sought a solution to tailor the event to optimize costs while ensuring learner participation. faced inconsistent learner attendance in training sessions, thereby needing insights into participation dynamics.

TurnB Approach


  • Historical Data Examination: To address the client’s challenge, TurnB extracted historical training data from client’s database to quantify and understand learner participation across different training sessions; Theory and Q&A
  • Deep Dive Analysis: Conducted a granular analysis of training data, examining attendance patterns across Domains, Courses, and Time Zones to uncover key insights.
  • Attendance Forecasting: Employed forecasting techniques to predict future attendance, based on different time zones to align trainer allocations optimally.
  • Session Optimization: Calculated conversion rates, the proportion of participants that went on to attend Q&A sessions after theory class, and projected expected participation, identifying sessions with potentially low attendance, and assessing the necessity for additional moderators.
  • Financial Impact Assessment: Quantified the dollar impact of restructuring training sessions, specifically highlighting instances where additional moderators were deemed unnecessary for Q&A sessions.
Approaches background
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Implications

  • Strategic Training Planning: Equipped the client with insights derived from estimated attendance data, enabling them to proactively plan future training sessions. This approach ensured the optimal utilization of trainers.
  • Holistic Learner Participation Insights: Provided the client with a clear understanding of learner participation across Domains, Courses, and Time Zones.
  • Training Transformation and Cost Efficiency: Identified opportunities to customize training sessions, particularly in Q&A segments where a single moderator sufficed. This diligence in trainer allocation resulted in significant cost savings for the client, contributing to overall operational efficiency
  • In summary, our data-driven analysis not only addressed the immediate challenge of optimizing training structures but also positioned our client with a more efficient and cost-conscious training strategy in the evolving tech landscape.
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