Introduction
Opendoor's average time to close increasing from 14 to 21 days for homes purchased in the Phoenix area during Q3 is a significant shift that warrants thorough investigation. This analysis will systematically identify, validate, and address the root cause while considering both immediate and long-term implications for Opendoor's business model and customer experience.
I'll approach this issue by first clarifying key details, ruling out external factors, understanding the product and user journey, breaking down the metric, gathering relevant data, forming hypotheses, conducting root cause analysis, and finally proposing validation methods and next steps.
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 indicate a recurring issue rather than a new problem. Expected answer: No, this is unusual for Q3. Impact on approach: If seasonal, we'd focus on Q3-specific factors; if not, we'd look at recent changes.
Why it matters: Local market dynamics could explain a region-specific slowdown. Expected answer: Some cooling in the market, but nothing drastic. Impact on approach: If market-related, we'd need to adjust our strategy for different market conditions.
Why it matters: Ensures we're comparing apples to apples and not facing a data anomaly. Expected answer: No changes in measurement methods. Impact on approach: If measurement changed, we'd need to recalibrate our data analysis.
Why it matters: Internal changes could directly impact closing times. Expected answer: A new appraisal system was implemented in early Q3. Impact on approach: If internal changes occurred, we'd focus on optimizing these new processes.
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