Introduction
The increase in average time-to-hire for positions posted through Oyster's global hiring solution by 5 days compared to the previous quarter is a significant shift that warrants thorough investigation. This analysis will systematically identify, validate, and address the root cause while considering both immediate and long-term implications for Oyster's product and business goals.
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 timelines. Expected answer: The increase is not tied to any specific season or global event. Impact on approach: If seasonal, we'd focus on adjusting expectations and processes accordingly.
Why it matters: Identifying specific affected segments could point to targeted issues or changes in user behavior. Expected answer: The increase is more pronounced in certain industries or company sizes. Impact on approach: We'd focus our investigation on the most affected segments to identify unique factors.
Why it matters: Product changes could directly impact user behavior and hiring processes. Expected answer: There have been minor updates, but no major overhauls. Impact on approach: If significant changes occurred, we'd examine their specific impact on the hiring timeline.
Why it matters: Ensures we're comparing apples to apples and not dealing with a data anomaly. Expected answer: No changes in the metric calculation or tracking systems. Impact on approach: If changes occurred, we'd need to recalibrate our analysis based on the new methodology.
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