Business
Challenge:

Analyzing Attendance Drop: A Case Study Utilizing Drop-off Analysis

Client faced inconsistent learner attendance in training sessions, thereby needing insights into participation dynamics.

TurnB Approach


  • Gathered attendance data, factoring non-uniformity in third-party data.
  • Enriched data with session details for comprehensive analysis.
  • Ensured accuracy through rigorous validation.
  • Used Power BI for insightful data visualization.
  • Analyzed learner engagement through drop-off rates.
  • Explored factors impacting drop-off, including courses, session duration, and start times.
  • Validated findings through learner feedback.
Approaches background
Infograph

Implications

  • Identified key influences for program optimization.
  • Provided guidance for tailored sessions.

 

Suggested aligning sessions with optimal times, for potential 30-40% reduction in drop-off.

  • Offered practical guidance for maximizing retention.
  • Encouraged industry-wide sharing of best practices for lowering drop-off rates.

 

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