Introduction
The recent increase in average connection time between patients and doctors on Halodoc from 2 minutes to 5 minutes is a critical issue that demands immediate attention. This metric directly impacts user satisfaction, platform efficiency, and potentially, health outcomes. 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 often correlate with performance shifts. Expected answer: Yes, there was a major update. Impact on approach: If yes, we'd focus on the update's impact; if no, we'd look at gradual changes or external factors.
Why it matters: Helps identify if the issue is systemic or segment-specific. Expected answer: The increase is more pronounced in certain user segments. Impact on approach: Segment-specific issues would lead to targeted solutions, while uniform increases suggest system-wide problems.
Why it matters: Ensures we're comparing apples to apples. Expected answer: No change in metric definition. Impact on approach: If changed, we'd need to reassess historical data; if not, we can focus on actual performance shifts.
Why it matters: External shifts can impact internal metrics. Expected answer: Some changes in user patterns observed. Impact on approach: Significant external changes would lead us to adapt our system to new patterns; minimal changes would focus our attention on internal factors.
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