Introduction
Greenlight Planet's EasyBuy pay-as-you-go system in Kenya is facing a 15% lower adoption rate among new customers this month. This unexpected dip in performance requires a thorough investigation to identify the root cause and develop effective solutions. I'll approach this issue systematically, examining both internal and external factors that could be influencing adoption rates.
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 can affect disposable income and energy needs. Expected answer: No major seasonal shifts noted. Impact on approach: If confirmed, we'd focus more on internal factors.
Why it matters: A shift in user classification could artificially deflate adoption rates. Expected answer: No recent changes in new customer classification. Impact on approach: If changed, we'd need to reassess our metrics and targeting strategies.
Why it matters: Technical issues could be deterring new sign-ups. Expected answer: Minor updates, but no major changes. Impact on approach: If significant changes occurred, we'd prioritize technical investigation.
Why it matters: Increased competition could be drawing potential customers away. Expected answer: No significant changes in competitive landscape. Impact on approach: If competition has intensified, we'd need to reassess our value proposition.
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