Introduction
The recent 15% decline in usage of Onit's AI-assisted document review feature among law firm clients over the past 60 days is a concerning trend that requires immediate attention. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications for our 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: Helps distinguish between cyclical trends and genuine product issues. Expected answer: No significant seasonal patterns observed in previous years. Impact on approach: If seasonal, we'd focus on adapting to cyclical demand; if not, we'd dig deeper into product-specific factors.
Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Expected answer: No changes in measurement methodology. Impact on approach: If measurement changed, we'd need to recalibrate our analysis; if not, we proceed with investigating usage decline causes.
Why it matters: Helps pinpoint whether the issue is universal or segment-specific. Expected answer: Decline is more significant among mid-sized law firms. Impact on approach: If segment-specific, we'd tailor our investigation and solutions to that particular user group.
Why it matters: External factors could be driving changes in user behavior. Expected answer: No major regulatory changes noted. Impact on approach: If regulatory changes exist, we'd need to adapt our product; if not, we focus on internal and user-centric factors.
Why it matters: Recent changes could be directly impacting user experience and adoption. Expected answer: A minor update was released 75 days ago. Impact on approach: If recent changes exist, we'd scrutinize their impact; if not, we'd look at longer-term trends and competitive factors.
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