what metrics would you use to evaluate bibit's robo-advisory service?

Introduction

Evaluating the success of Bibit's robo-advisory service requires a comprehensive approach to metrics that captures both user value and business performance. To address this product success metrics challenge, I'll follow a structured framework covering core metrics, supporting indicators, and risk factors while considering all key stakeholders.

Step 1

Product Context

Bibit is a robo-advisory platform that provides automated, algorithm-driven financial planning services with minimal human supervision. It offers personalized investment portfolios based on users' risk tolerance, financial goals, and time horizon.

Key stakeholders include:

1. End users (retail investors)
2. Bibit's product and engineering teams
3. Financial regulators
4. Partner financial institutions

The user flow typically involves:

1. Onboarding: Users answer questions about their financial situation and goals.
2. Portfolio creation: The algorithm generates a personalized investment portfolio.
3. Funding: Users transfer money to their Bibit account.
4. Ongoing management: The system automatically rebalances and optimizes the portfolio.

Bibit fits into the broader strategy of democratizing access to sophisticated investment strategies, traditionally available only to high-net-worth individuals. It competes with traditional financial advisors and other robo-advisors like Stashaway in Southeast Asia.

In terms of product lifecycle, Bibit is likely in the growth stage, focusing on user acquisition and expanding its feature set to capture market share.