Introduction
The increase in average time to hire for software developers on OfferZen from 21 to 35 days over the past quarter is a significant shift that warrants careful analysis. This issue directly impacts the platform's core value proposition and could have far-reaching consequences for both employers and job seekers. I'll approach this problem systematically, examining various factors that could contribute to this change and developing a comprehensive plan to address the root cause.
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: Seasonal trends could explain temporary fluctuations in hiring time. Expected answer: No significant seasonal correlation identified. Impact on approach: If seasonal, we'd focus on cyclical strategies; if not, we'd look deeper into internal factors.
Why it matters: Ensures we're comparing apples to apples and not dealing with a measurement issue. Expected answer: No changes to the calculation method. Impact on approach: If changed, we'd need to recalibrate our analysis; if not, we can proceed with investigating other factors.
Why it matters: Helps identify if the issue is systemic or localized to specific segments. Expected answer: Variation across segments, with some more affected than others. Impact on approach: Would guide us to focus on the most impacted segments first.
Why it matters: Recent changes could directly impact the hiring process efficiency. Expected answer: Some minor updates, but nothing major. Impact on approach: If significant changes occurred, we'd scrutinize their impact; if not, we'd look at other internal and external factors.
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