For Thomson Reuters's CLEAR investigative platform, should we prioritize adding more data sources or improving search speed and accuracy?

Introduction

The trade-off we're examining for Thomson Reuters's CLEAR investigative platform is whether to prioritize adding more data sources or improving search speed and accuracy. This decision is crucial for enhancing the platform's value proposition and maintaining its competitive edge in the investigative intelligence market. I'll analyze this trade-off by considering user needs, technical implications, business impact, and strategic alignment.

Step 1

Clarifying Questions (3 minutes)

• Based on the platform's focus, I'm thinking data comprehensiveness is a key differentiator. Could you share how our current data sources compare to competitors'?

Why it matters: Helps assess the urgency of adding new sources vs. optimizing existing ones. Expected answer: We're on par with or slightly ahead of competitors. Impact on approach: If ahead, might lean towards improving search capabilities.

• Considering user behavior, I suspect search speed is critical for investigative work. What's our current average search time, and how does it compare to industry benchmarks?

Why it matters: Determines if search speed is a pain point or competitive advantage. Expected answer: Slightly below industry average. Impact on approach: If significantly below, might prioritize speed improvements.

• Looking at our revenue model, I'm assuming we charge based on subscription tiers or usage. How do our pricing structures align with data access and search capabilities?

Why it matters: Helps understand how improvements might impact revenue directly. Expected answer: Tiered pricing based on data access, with premium for advanced search. Impact on approach: Could influence decision based on which improvement drives more upgrades.

• Regarding technical feasibility, I'm curious about our current architecture. How modular is our system for adding new data sources versus optimizing search algorithms?

Why it matters: Assesses the relative effort and risk for each option. Expected answer: Modular for data sources, but search optimization requires core changes. Impact on approach: Might favor the less risky or more straightforward implementation.

• Considering our product roadmap, are there any major releases or partnerships planned that could influence this decision?

Why it matters: Ensures alignment with broader strategic initiatives. Expected answer: Potential partnership with a major data provider in Q4. Impact on approach: Could prioritize data integration to support the partnership.