For Nasdaq's cloud-based market surveillance tools, how should we weigh investing in advanced AI capabilities versus keeping costs low for smaller market participants?

Introduction

The trade-off we're examining today is between investing in advanced AI capabilities for Nasdaq's cloud-based market surveillance tools versus keeping costs low for smaller market participants. This scenario involves balancing technological innovation with accessibility for a diverse user base. I'll approach this analysis by examining the product context, stakeholder impacts, potential outcomes, and a data-driven decision framework.

Step 1

Clarifying Questions (3 minutes)

• Context: I'm thinking about the current market landscape for surveillance tools. Could you provide more insight into our market share and the competitive landscape?

Why it matters: Helps gauge the urgency of AI investment vs. cost considerations Expected answer: Moderate market share with increasing competition Impact on approach: Would influence the balance between innovation and accessibility

• Business Context: Based on our revenue model, I assume smaller participants contribute significantly to our customer base. What percentage of our revenue comes from smaller market participants versus larger ones?

Why it matters: Determines the financial impact of potentially pricing out smaller players Expected answer: 30-40% from smaller participants Impact on approach: Would affect the weight given to cost considerations

• User Impact: I'm curious about the pain points our smaller market participants face. What are the top 3 challenges they've reported with our current tools?

Why it matters: Identifies whether AI capabilities or cost is a more pressing concern Expected answer: Cost, complexity, and scalability issues Impact on approach: Would guide feature prioritization and pricing strategy

• Technical: Regarding AI capabilities, what's our current technological readiness? Do we have the infrastructure and talent to develop advanced AI in-house?

Why it matters: Assesses the feasibility and timeline of AI implementation Expected answer: Moderate AI capabilities with some talent gaps Impact on approach: Would influence build vs. buy decisions and development timelines

• Resource: Can you share our current R&D budget allocation for market surveillance tools? How flexible is this budget?

Why it matters: Determines the resources available for AI development without raising prices Expected answer: Moderate budget with some flexibility Impact on approach: Would impact the scope and pace of AI implementation