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.
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.
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 clearunderstanding 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.
