For DBS Bank's wealth management platform, how should we weigh offering a wider range of investment products against providing more in-depth analysis on fewer options?

Introduction

The trade-off we're examining for DBS Bank's wealth management platform is between offering a wider range of investment products and providing more in-depth analysis on fewer options. This scenario touches on the core challenge of balancing product breadth versus depth in financial services. I'll approach this by analyzing the impact on user experience, business goals, and technical feasibility.

Step 1

Clarifying Questions (3 minutes)

• Context: I'm assuming this is for DBS's existing wealth management platform. Could you confirm if we're looking at enhancing a current product or developing a new offering?

Why it matters: Impacts our approach to user migration and technical integration Expected answer: Enhancing existing platform Impact on approach: Focus on seamless integration and user transition strategies

• Business Context: Based on DBS's position as a leading bank in Southeast Asia, I'm thinking this decision might be driven by competitive pressures. How does this initiative align with our current market positioning and revenue targets?

Why it matters: Helps prioritize solution against business objectives Expected answer: Aiming to increase market share and revenue from high-net-worth individuals Impact on approach: Would influence product positioning and feature prioritization

• User Impact: Considering the diverse customer base in Singapore and the region, I'm curious about our target user segments. Are we primarily focusing on high-net-worth individuals, or are we looking to expand our reach to a broader customer base?

Why it matters: Determines the complexity and customization level of our offering Expected answer: Targeting both high-net-worth and mass affluent segments Impact on approach: Would require a scalable solution with tiered features

• Technical Feasibility: Given the potential increase in data processing for in-depth analysis, I'm wondering about our current system's scalability. What are our technical constraints in terms of data processing and real-time analysis capabilities?

Why it matters: Influences the feasibility of implementing more complex analytical features Expected answer: Current system can handle increased load with some upgrades Impact on approach: Would need to factor in technical debt and potential system enhancements

• Timeline and Resources: Considering the potential scope of this project, I'm thinking about our implementation timeline. What's our target launch date, and what resources (team, budget) are allocated for this initiative?

Why it matters: Helps determine the scope and phasing of the project Expected answer: 6-month timeline with a dedicated cross-functional team Impact on approach: Would influence feature prioritization and rollout strategy