Introduction
The recent decline in the Dunzo partner app's customer rating from 4.5 to 3.8 stars over the past two weeks is a critical issue that demands immediate attention. This significant drop could impact partner satisfaction, retention, and ultimately, the quality of service provided to end-users. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes 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: Recent changes could directly correlate with the rating drop. Expected answer: Yes, there was an update. Impact on approach: If yes, we'd focus on changes in that update; if no, we'd look at external factors or gradual issues.
Why it matters: It helps determine if this is a widespread issue or potentially skewed by a small group of users. Expected answer: The volume has remained consistent. Impact on approach: A spike might indicate a coordinated effort or a specific event triggering reviews.
Why it matters: Changes affecting partner earnings or workload could lead to dissatisfaction and lower ratings. Expected answer: No significant changes to partner policies. Impact on approach: If yes, we'd investigate the impact of these changes; if no, we'd look at other operational aspects.
Why it matters: Technical issues directly impact user experience and could lead to lower ratings. Expected answer: Some reports of increased app crashes. Impact on approach: If yes, we'd prioritize technical investigations; if no, we'd focus more on user experience and feature-related issues.
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