How should S&P Global balance the depth of ESG data in its Trucost product against the ease of use for non-specialist investors?

Introduction

The trade-off between the depth of ESG data in S&P Global's Trucost product and its ease of use for non-specialist investors presents a critical challenge. This scenario involves balancing comprehensive environmental, social, and governance information with user-friendly accessibility. I'll address this by examining the product context, identifying key metrics, designing experiments, and providing a strategic recommendation.

Step 1

Clarifying Questions (3 minutes)

• Based on the current market trends, I'm thinking ESG data is becoming increasingly important for investors. Could you provide more context on how Trucost's ESG data depth compares to competitors?

Why it matters: Helps understand our competitive positioning and market demands Expected answer: Trucost offers more comprehensive data than most competitors Impact on approach: Would influence whether to focus on depth or simplification

• Considering our business model, I assume Trucost generates revenue through subscriptions. Is this correct, and are there any specific growth targets we're aiming for?

Why it matters: Aligns solution with revenue goals and user acquisition strategy Expected answer: Subscription-based model with targets to increase user base Impact on approach: Would affect balance between catering to specialists vs. broader market

• Looking at user behavior, I'm curious about the current usage patterns. What percentage of our users are non-specialist investors, and how does their engagement differ from specialists?

Why it matters: Helps identify the most impacted user segments and their needs Expected answer: Growing number of non-specialist users with lower engagement Impact on approach: Would guide the level of simplification needed

• Regarding technical feasibility, I'm wondering about our current data architecture. How flexible is our system for creating different views or layers of data complexity?

Why it matters: Determines the feasibility of creating tiered data access Expected answer: Modular system that can support multiple data views Impact on approach: Would influence whether to create separate products or adaptive interfaces

• Considering resource allocation, how is our product team currently structured? Do we have dedicated UX researchers and designers focusing on data visualization?

Why it matters: Assesses our capacity to improve user experience without sacrificing data depth Expected answer: Small UX team with potential to expand Impact on approach: Would affect the timeline and scope of UX improvements