Introduction
The recent 15% decline in Optus's mobile data usage per customer over the past quarter is a concerning trend that requires immediate attention. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications for the business.
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 temporary fluctuations in data usage. Expected answer: No significant seasonal correlation. Impact on approach: If seasonal, we'd focus on cyclical patterns; if not, we'd investigate other factors.
Why it matters: Identifying specific affected segments could pinpoint targeted issues. Expected answer: The decline is more pronounced in certain segments. Impact on approach: We'd focus our investigation on the most affected segments.
Why it matters: Changes in offerings could directly impact usage patterns. Expected answer: No major changes to plans or pricing. Impact on approach: If changes occurred, we'd analyze their impact; if not, we'd look at other factors.
Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in measurement or reporting. Impact on approach: If changes occurred, we'd need to recalibrate our analysis; if not, we can trust the data as reported.
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