Introduction
M1's automated investing feature has experienced a 20% decrease in new user adoption over the past quarter, signaling a significant challenge for the product. This analysis will systematically identify, validate, and address the root cause while considering both immediate and long-term implications for the automated investing feature and M1's broader product ecosystem.
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 decrease and impact our solution approach. Expected answer: Yes, it has been compared and the decrease is still significant. Impact on approach: If seasonal, we'd focus on year-over-year comparisons and cyclical strategies.
Why it matters: Identifying affected segments helps target our investigation and solutions. Expected answer: The decrease is more significant among younger users (18-30). Impact on approach: We'd focus on understanding and addressing the needs of younger investors.
Why it matters: Recent changes could directly impact user adoption and guide our investigation. Expected answer: A new risk assessment algorithm was implemented two months ago. Impact on approach: We'd scrutinize the new algorithm's impact on user experience and investment recommendations.
Why it matters: External factors could be driving the decrease in adoption. Expected answer: The market has been relatively stable, with no major economic shocks. Impact on approach: We'd focus more on internal factors and user experience issues.
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