Introduction
The recent 20% drop in completion rates for Island's phishing awareness training modules is a concerning trend that requires immediate attention. As we delve into this issue, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal patterns could explain cyclical changes in engagement. Expected answer: No significant seasonal correlation identified. Impact on approach: If seasonal, we'd need to adjust our baseline expectations.
Why it matters: Identifying specific affected groups could pinpoint targeted issues. Expected answer: The decline is more pronounced in the non-technical departments. Impact on approach: We'd focus on understanding the unique challenges for these groups.
Why it matters: Recent changes could directly impact user engagement and completion rates. Expected answer: A new module interface was rolled out two weeks ago. Impact on approach: We'd investigate the usability and reception of the new interface.
Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in tracking or reporting methods. Impact on approach: Confirms the issue is with actual completion rates, not measurement discrepancies.
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