Introduction
The sudden 30% drop in farmer onboarding rates in Twiga Foods' Western region is a critical issue that demands immediate attention. As we analyze this product challenge, I'll employ a systematic framework to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into the product ecosystem, metric breakdown, and data analysis. From there, I'll form and validate hypotheses, conduct root cause analysis, and propose a comprehensive resolution plan.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why these questions matter: Understanding the context and baseline metrics is crucial for accurate analysis. Hypothetical answers could significantly shape our approach:
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Typical rate: 80% onboarding success Impact: Helps quantify the severity of the drop
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Recent changes: New mobile app launched 2 weeks ago Impact: Narrows focus to recent technological changes
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Seasonal factors: Harvest season typically affects onboarding Impact: May rule out or confirm seasonal influences
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Other regions: No similar drops observed Impact: Suggests a region-specific issue
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Time frame: Drop occurred over the past month Impact: Indicates a recent, rapid change
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Definition consistency: No changes in onboarding definition Impact: Eliminates measurement discrepancies as a cause
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