Introduction
The decline in average doctor ratings on Practo's platform from 4.5 to 3.8 stars over the past quarter is a critical issue that demands immediate attention. This significant drop could impact user trust, doctor participation, and overall platform health. I'll approach this problem systematically, focusing on identifying potential root causes, validating hypotheses, and developing both short-term fixes and long-term strategies to address the underlying issues.
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 patterns could explain temporary fluctuations. Expected answer: No significant seasonal correlation. Impact on approach: If seasonal, we'd focus on cyclical patterns; if not, we'd look deeper into systemic issues.
Why it matters: Helps identify if the issue is global or specific to certain doctor types. Expected answer: Decline varies across specialties. Impact on approach: Targeted interventions for affected specialties vs. platform-wide changes.
Why it matters: Platform changes could directly impact user behavior and ratings. Expected answer: Minor UI tweaks, no major system changes. Impact on approach: Focus on user experience if changes occurred, or look at external factors if no significant updates.
Why it matters: Ensures the decline is real and not a data anomaly. Expected answer: No changes to data collection or processing. Impact on approach: If changes occurred, we'd audit the data system; if not, we'd focus on user behavior and external factors.
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