Introduction
The 15% decrease in Onfido's API integration completions for new enterprise customers this quarter is a critical issue that demands immediate attention. As we analyze this product challenge, we'll follow a systematic framework to identify, validate, and address the root cause while considering both immediate and long-term 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. We'll generate hypotheses, conduct root cause analysis, and develop a comprehensive plan to address the issue.
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: Helps distinguish between cyclical patterns and genuine problems. Expected answer: No significant seasonal patterns observed. Impact on approach: If seasonal, we'd focus on anticipating and mitigating annual fluctuations.
Why it matters: Changes in onboarding could directly impact integration completion rates. Expected answer: Minor updates to documentation, no major process changes. Impact on approach: If significant changes occurred, we'd scrutinize those specific alterations.
Why it matters: Adequate support is crucial for successful integrations. Expected answer: Support team size and response times have remained consistent. Impact on approach: If support has decreased, we'd prioritize reinforcing our developer assistance.
Why it matters: External competitive factors could influence customer decisions. Expected answer: No significant changes in competitor offerings noted. Impact on approach: If competitive pressure is high, we'd need to reassess our value proposition.
Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Expected answer: No changes in metric definition or measurement systems. Impact on approach: If metrics have changed, we'd need to recalibrate our analysis based on consistent data.
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