Introduction
Incode's Omni onboarding solution has experienced a significant 20% drop in successful verifications over the past month, raising concerns about the product's performance and user experience. To address this critical issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both immediate and long-term implications for the product and business.
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 could directly impact verification success rates. Expected answer: Yes, there was a minor UI update and algorithm tweak. Impact on approach: If confirmed, we'd focus on these changes as potential causes.
Why it matters: Helps identify if the issue is global or specific to certain users. Expected answer: The drop is more pronounced in mobile users and certain geographic regions. Impact on approach: We'd prioritize investigating mobile-specific issues and regional factors.
Why it matters: Regulatory changes could impact verification processes and success rates. Expected answer: No significant regulatory changes in the past month. Impact on approach: If confirmed, we'd focus more on internal factors and user behavior.
Why it matters: Infrastructure changes could affect system performance and verification accuracy. Expected answer: A new database system was implemented three weeks ago. Impact on approach: We'd investigate potential issues related to the new database implementation.
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