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