Introduction
The sudden 15% drop in Airtel India's prepaid mobile data usage in the Delhi region is a significant concern that requires immediate attention. This analysis will systematically investigate potential root causes, generate hypotheses, and propose a strategic plan to address the issue. We'll examine both internal and external factors, leveraging data-driven insights to guide our decision-making process.
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 usage fluctuations. Expected answer: No significant holidays or events during this period. Impact on approach: If confirmed, we'd focus more on internal factors.
Why it matters: Helps identify if the issue is widespread or segment-specific. Expected answer: The drop is more pronounced in lower-tier plans. Impact on approach: We'd investigate factors affecting budget-conscious users.
Why it matters: Network issues could directly impact data usage. Expected answer: No major infrastructure changes reported. Impact on approach: We'd shift focus to other technical or user-related factors.
Why it matters: Competitor actions could influence user behavior. Expected answer: A competitor launched an aggressive data plan last month. Impact on approach: We'd analyze our market positioning and value proposition.
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