Introduction
The recent 20% drop in completed orders on Slice's online ordering platform is a critical issue that demands immediate attention. As we analyze this product challenge, we'll employ a systematic framework to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
Our approach will involve a thorough examination of the platform's performance, user behavior, and potential external factors. We'll generate data-driven hypotheses, conduct a detailed 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 it matters: Recent changes often correlate with performance shifts. Expected answer: Yes, a new UI was implemented. Impact on approach: If true, we'd focus on UI-related issues and user adaptation.
Why it matters: Helps identify if the issue is global or segment-specific. Expected answer: The drop is more significant among new users. Impact on approach: If true, we'd investigate onboarding and first-time user experience.
Why it matters: Pinpoints the specific area of the funnel causing issues. Expected answer: The drop-off is highest at the payment stage. Impact on approach: If true, we'd focus on payment processing and related UX.
Why it matters: External factors can significantly impact user behavior. Expected answer: No significant competitor actions noted. Impact on approach: If true, we'd focus more on internal factors and user experience issues.
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