Introduction
The sudden 30% decrease in new tutor applications on GoStudent's recruitment platform this quarter is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the platform's growth and sustainability.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product ecosystem, user journey, and metric breakdown. From there, I'll generate data-driven hypotheses, conduct root cause analysis, and propose validation methods and 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 fluctuations in tutor applications. Expected answer: Yes, it's been compared and the decrease is still significant. Impact on approach: If seasonal, we'd focus on year-over-year comparisons; if not, we'd investigate recent changes.
Why it matters: It could indicate issues with the application process itself. Expected answer: Application completion rates have remained stable. Impact on approach: If stable, we'd look earlier in the funnel; if decreased, we'd focus on the application process.
Why it matters: Changes in compensation could directly impact tutor interest. Expected answer: No significant changes to compensation structure. Impact on approach: If changed, we'd analyze the impact; if not, we'd look at competitor offerings.
Why it matters: Marketing changes could directly affect the number of applicants. Expected answer: Marketing spend and targeting have remained consistent. Impact on approach: If changed, we'd analyze marketing effectiveness; if not, we'd look at other factors affecting tutor awareness.
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