Introduction
The increase in average time to fill open positions through WellFound from 25 to 35 days in Q2 is a significant shift that warrants careful analysis. This 40% increase could have substantial implications for both WellFound's business model and its users' satisfaction. I'll approach this issue systematically, examining potential root causes and proposing data-driven 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 trends could explain temporary fluctuations. Expected answer: No significant seasonal trends identified. Impact on approach: If seasonal, we'd focus on cyclical strategies; if not, we'd look deeper into internal factors.
Why it matters: Segmented data could reveal targeted issues. Expected answer: Tech and senior roles more affected. Impact on approach: We'd prioritize investigating factors specific to these segments.
Why it matters: Product changes often have unintended consequences. Expected answer: Minor UI updates, no major algorithm changes. Impact on approach: If significant changes occurred, we'd focus on their impact; if not, we'd look at external factors or gradual shifts in user behavior.
Why it matters: External market forces could be driving the change. Expected answer: Some economic uncertainty, but no major market shifts. Impact on approach: Significant market changes would lead us to focus on adaptive strategies; otherwise, we'd prioritize internal optimization.
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