Introduction
The 15% drop in new customer adoption rates for QAD's Adaptive ERP solution over the last quarter 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 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: Seasonal fluctuations could explain the drop and impact our solution approach. Expected answer: Yes, it's been compared and is still significant. Impact on approach: If seasonal, we'd focus on year-over-year trends rather than quarter-over-quarter.
Why it matters: Changes in measurement could artificially create a drop without actual adoption issues. Expected answer: No changes in measurement. Impact on approach: If changed, we'd need to reassess the validity of the 15% drop.
Why it matters: Segmentation could reveal targeted issues rather than a universal problem. Expected answer: The drop is more pronounced in mid-sized manufacturing companies. Impact on approach: We'd focus our investigation on factors affecting this specific segment.
Why it matters: Recent changes could directly correlate with the adoption drop. Expected answer: A major UI overhaul was implemented two months ago. Impact on approach: We'd investigate the impact of this UI change on user experience and adoption.
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