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Company focus

Thomson Reuters
Product Improvement Hard Member-only

How might Thomson Reuters evolve its Eikon financial analytics tool to provide more actionable insights for investment professionals?

Prepared by NextSprints

15 mins
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Product Strategy User Research Data Analysis Financial Services Technology Data Analytics User Experience Product Strategy Data Visualization Financial Technology Thomson Reuters
Product Management Strategy Question: Evolving Thomson Reuters Eikon for enhanced financial analytics and insights

Introduction

To evolve Thomson Reuters' Eikon financial analytics tool and provide more actionable insights for investment professionals, we need to focus on enhancing the user experience, improving data visualization, and leveraging advanced analytics capabilities. I'll approach this challenge by first understanding the current product context and user needs, then identifying key pain points, and finally proposing innovative solutions that align with Thomson Reuters' broader objectives.

Step 1

Clarifying Questions

  • Looking at the product context, I'm thinking Eikon might be facing increased competition from newer, more agile fintech platforms. Could you share insights on Eikon's current market position and how it compares to emerging competitors?

Why it matters: Determines if we need to focus on differentiation or catching up to market leaders. Expected answer: Eikon is a market leader but facing pressure from newer platforms with more modern UIs. Impact on approach: Would prioritize UI/UX improvements and unique feature development.

  • Considering the evolving needs of investment professionals, I'm curious about the current user behavior patterns. Can you tell me about the most frequently used features in Eikon and any notable changes in usage trends over the past year?

Why it matters: Helps identify areas for improvement and potential new features. Expected answer: Increased usage of real-time data and predictive analytics, less reliance on static reports. Impact on approach: Would focus on enhancing real-time capabilities and predictive models.

  • Given the importance of data in financial analytics, I'm wondering about Eikon's data integration capabilities. How easily can users currently incorporate external data sources or proprietary data into their Eikon workflows?

Why it matters: Determines if we need to prioritize data integration features. Expected answer: Limited capabilities for seamless integration of external data sources. Impact on approach: Would explore solutions for easier data integration and customization.

  • Thinking about Thomson Reuters' broader strategy, I'm interested in understanding how Eikon fits into the company's overall product ecosystem. Are there plans to integrate Eikon more closely with other Thomson Reuters offerings?

Why it matters: Influences whether we should focus on standalone improvements or cross-product integration. Expected answer: There's a strategic initiative to create a more cohesive ecosystem across Thomson Reuters products. Impact on approach: Would consider solutions that enhance interoperability with other Thomson Reuters tools.

Tip

Now that we've established some context, let's take a brief moment to organize our thoughts before moving on to user segmentation.

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NextSprints

Updated Jan 22, 2025