Introduction
The unexpected 20% decline in new sign-ups for Mercer's retirement planning advisory services during the last two weeks 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 our product and business.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into our product, user journey, and metrics. From there, I'll form 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 fluctuations could explain the drop and impact our solution approach. Expected answer: No significant seasonal trend observed in previous years. Impact on approach: If seasonal, we'd focus on anticipating and mitigating annual dips.
Why it matters: Identifying specific affected segments could point to targeted issues or changes in market dynamics. Expected answer: The decline is more pronounced among younger users (25-35 age group). Impact on approach: We'd investigate factors specifically affecting younger users' engagement with retirement planning.
Why it matters: Recent changes could directly impact new sign-ups and guide our investigation. Expected answer: A new landing page was implemented three weeks ago. Impact on approach: We'd scrutinize the new landing page's performance and user experience.
Why it matters: Technical issues could directly cause a drop in successful sign-ups. Expected answer: No major reported issues, but there have been intermittent slowdowns. Impact on approach: We'd investigate the impact of these slowdowns on user experience and conversion rates.
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