Introduction
Ribbon Home's RibbonCash Offers program is experiencing a concerning 5-day increase in average time from offer to close this quarter. This issue could significantly impact customer satisfaction, market competitiveness, and overall business performance. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.
Framework overview
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 fluctuations could explain the metric shift and inform our solution approach. Expected answer: Possible correlation with summer buying season. Impact on approach: If seasonal, we'd focus on optimizing processes for high-volume periods.
Why it matters: Identifying specific affected segments could pinpoint the issue more precisely. Expected answer: Variation across user segments, with first-time buyers potentially more impacted. Impact on approach: Targeted solutions for specific user groups if discrepancies exist.
Why it matters: Recent changes could be directly linked to the performance decline. Expected answer: Possible minor updates or integrations with partner systems. Impact on approach: Focus on recent changes and their potential unintended consequences.
Why it matters: Ensures we're comparing apples to apples and not chasing a non-existent problem. Expected answer: No changes to metric definition or measurement. Impact on approach: If changed, we'd need to reassess the validity of the perceived increase.
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