Introduction
QuintoAndar's rental agreement closure time has increased from 5 to 8 days, signaling a potential issue in the platform's efficiency. I'll analyze this problem systematically, identifying root causes and proposing solutions that address both immediate concerns and long-term implications.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minute)
Why it matters: Seasonal trends could explain temporary fluctuations. Expected answer: No significant seasonal correlation. Impact on approach: If seasonal, we'd focus on cyclical optimizations.
Why it matters: Different user segments may require tailored solutions. Expected answer: First-time renters are experiencing longer closure times. Impact on approach: We'd prioritize onboarding and guidance improvements.
Why it matters: Recent changes could directly impact closure times. Expected answer: A new verification step was added last month. Impact on approach: We'd scrutinize the new step's impact and necessity.
Why it matters: Ensures we're addressing a real issue, not a measurement error. Expected answer: Definition and systems are unchanged and verified. Impact on approach: Confirms focus on actual process improvements.
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