Introduction
Chronic patients are the backbone of an e-pharmacy. Someone with diabetes, hypertension or a thyroid condition orders the same medicines every month for years, which makes them Tata 1mg's most valuable customers and a key reason its ePharmacy business reached breakeven in FY26. Any drop in their repeat behaviour hits revenue and margin quickly.
The scenario: the 60-day repeat order rate among chronic-medicine customers on Tata 1mg fell 15% over the last two months. How would you find the root cause? I'll clarify, rule out external factors, map the journey, break down the metric, form and test hypotheses, then propose a resolution plan.
Clarify the definition, rule out external factors, map the journey, segment the metric, rank hypotheses, validate with data, then decide and fix.
Step 1
Clarifying Questions (3 minutes)
- Assumption: No change.
- Impact: The drop is real.
- Assumption: Gradual over eight weeks, sharper in metros than in smaller cities.
- Assumption: Discount on chronic medicines was reduced from 20% to 15% for non-members six weeks ago; a new app home page launched; prescription expiry rules were tightened.
- Assumption: A quick-commerce player expanded pharmacy delivery in several metros, and a competitor e-pharmacy ran a large discount campaign on chronic medicines.
Practice similar questions
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