Introduction
Harri's applicant tracking system experiencing a 30% drop in new job postings over the past month is a significant issue that requires immediate attention. This decline could have far-reaching implications for Harri's business model, user satisfaction, and market position. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.
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 without indicating a deeper problem. 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 month-to-month.
Why it matters: Different segments may have different root causes, requiring targeted solutions. Expected answer: The drop is more pronounced in the SMB segment. Impact on approach: We'd prioritize investigating SMB-specific factors and tailoring solutions accordingly.
Why it matters: Ensures we're comparing apples to apples and not dealing with a measurement issue. Expected answer: No changes in measurement or categorization. Impact on approach: If changed, we'd need to recalibrate our analysis based on the new definition.
Why it matters: Recent changes could directly impact user behavior and system performance. Expected answer: A minor UI update was rolled out 6 weeks ago. Impact on approach: We'd investigate the potential impact of this update on user experience and posting behavior.
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