Introduction
The unexpected 20% decline in Cashify's refurbished phone sales across all major cities last quarter presents a complex challenge that requires a systematic analysis. To address this issue, I'll employ a structured approach to identify potential root causes, validate hypotheses, and develop both short-term and long-term solutions. My analysis will cover various aspects including product understanding, metric breakdown, data analysis, and hypothesis formation, culminating in 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: Seasonal patterns could explain the decline and inform our approach. Expected answer: No, this decline is unusual for this quarter. Impact on approach: If seasonal, we'd focus on year-over-year comparisons; if not, we'd investigate recent changes.
Why it matters: Helps identify if the issue is specific to certain market segments. Expected answer: The decline is more pronounced in mid-range phones. Impact on approach: We'd focus on factors affecting mid-range phone buyers specifically.
Why it matters: Process changes could affect product quality and customer perception. Expected answer: No major changes to the refurbishment process. Impact on approach: If changes occurred, we'd investigate their impact; if not, we'd look at other factors.
Why it matters: Changes in the new phone market could affect refurbished phone demand. Expected answer: Some manufacturers have introduced aggressive promotions on new mid-range phones. Impact on approach: We'd analyze how these promotions might be affecting refurbished phone sales.
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