Introduction
The sudden 30% decrease in new employer sign-ups on Handshake's platform last week is a critical issue that demands immediate attention. This significant drop could have far-reaching implications for Handshake's business model and user ecosystem. I'll approach this problem systematically, focusing on identifying potential root causes, 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 trends could explain the drop and inform our solution approach. Expected answer: This decrease is abnormal for the season. Impact on approach: If seasonal, we'd focus on improving off-season engagement; if not, we'd investigate recent changes or external factors.
Why it matters: Ensures we're addressing a real issue and not a data anomaly. Expected answer: No changes in metric definition or tracking. Impact on approach: If changed, we'd focus on data consistency; if not, we'd look at actual sign-up barriers.
Why it matters: Recent changes could directly impact sign-up rates. Expected answer: A minor update to the sign-up form was implemented two weeks ago. Impact on approach: If changes occurred, we'd scrutinize their impact; if not, we'd look at external factors or gradual trends.
Why it matters: Helps identify if the issue is global or specific to certain user groups. Expected answer: The decrease is more pronounced among small businesses and startups. Impact on approach: If segmented, we'd tailor solutions to affected groups; if uniform, we'd look at platform-wide issues.
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