how would you measure the success of bibit's robo-advisor feature?

Introduction

Measuring the success of Bibit's robo-advisor feature requires a comprehensive approach that considers multiple stakeholders and metrics. To effectively evaluate this product, I'll follow a structured framework covering core metrics, supporting indicators, and risk factors while considering all key stakeholders.

Step 1

Product Context

Bibit's robo-advisor is an automated investment management service that uses algorithms to create and manage diversified portfolios for users based on their risk tolerance and financial goals. Key stakeholders include:

1. Users: Seeking easy, low-cost investment solutions
2. Bibit: Aiming to grow user base and assets under management
3. Regulators: Ensuring compliance and consumer protection
4. Partners: Financial institutions providing underlying investment products

User flow:

1. Onboarding: Users answer questions about their financial situation and goals
2. Portfolio creation: The robo-advisor generates a personalized investment portfolio
3. Funding: Users transfer money to their Bibit account
4. Ongoing management: The robo-advisor monitors and rebalances the portfolio as needed

This feature aligns with Bibit's strategy to democratize investing in Indonesia, making it accessible to a broader audience. Compared to competitors like Ajaib and Bareksa, Bibit's robo-advisor focuses on simplicity and education for new investors.

Product Lifecycle Stage: Growth - The robo-advisor feature is gaining traction but still has significant room for expansion in the Indonesian market.

Software-specific context:

• Platform: Mobile app and web-based interface
• Integration points: Banking systems for fund transfers, market data providers
• Deployment model: Cloud-based with regular updates