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
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.
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.
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.
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.
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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