Introduction
The sudden 30% increase in customer service inquiries related to Bloom & Wild's plant delivery service signals a significant shift in user experience. This analysis will systematically identify, validate, and address the root cause while considering both immediate and long-term implications for the product and business.
I'll approach this issue by first clarifying key details, ruling out external factors, and then diving deep into the product, user journey, and relevant metrics. From there, I'll generate data-driven hypotheses, conduct root cause analysis, and propose validation methods and 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 changes could explain increased inquiries and help focus our investigation. Expected answer: Yes, there's been a 20% increase in orders for more delicate plants. Impact on approach: If confirmed, we'd focus on delivery processes for fragile plants.
Why it matters: This helps identify if the issue is related to onboarding or a change affecting existing users. Expected answer: 70% of inquiries are from first-time buyers. Impact on approach: If true, we'd prioritize improving the new user experience and expectations setting.
Why it matters: Recent product changes could directly impact user experience and support needs. Expected answer: Yes, we simplified care instructions to fit on smaller cards. Impact on approach: If confirmed, we'd review the new instructions for clarity and completeness.
Why it matters: Technical issues could lead to increased inquiries if customers aren't getting timely updates. Expected answer: No significant changes, but there have been intermittent delays in tracking updates. Impact on approach: If true, we'd investigate the tracking system's reliability and communication triggers.
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