Introduction
The sudden 30% increase in customer support calls related to BCE's LTE network in the Greater Toronto Area (GTA) this month is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for BCE's network performance and customer satisfaction.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into potential internal causes. My analysis will cover the product ecosystem, metric breakdown, data gathering, hypothesis formation, and root cause analysis. Finally, I'll propose validation methods and outline a comprehensive resolution plan.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes often correlate with sudden performance issues. Expected answer: Yes, there was a software update to cell towers. Impact on approach: If confirmed, I'd focus on technical hypotheses related to the update.
Why it matters: Helps narrow down potential causes and affected user groups. Expected answer: Calls are primarily from residential users in suburban areas. Impact on approach: I'd investigate factors specific to suburban infrastructure and residential usage patterns.
Why it matters: Identifies the nature of the problem(s) users are experiencing. Expected answer: Slow data speeds, dropped calls, and intermittent connectivity. Impact on approach: I'd focus on network capacity, signal strength, and handoff issues between cell towers.
Why it matters: External factors could indirectly cause network strain. Expected answer: No major changes in competitor offerings or BCE marketing. Impact on approach: If confirmed, I'd focus more on internal technical and operational factors.
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