Introduction
Enhancing Enfusion's order management system to improve trade execution speed is a critical challenge that directly impacts our clients' ability to capitalize on market opportunities and manage risk effectively. As we dive into this problem, we'll explore the current system's limitations, user pain points, and potential solutions that could significantly boost performance. I'll structure our discussion around key stakeholders, pain points, innovative solutions, and measurable outcomes.
Step 1
Clarifying Questions
Why it matters: Different asset classes and trade types have varying requirements for execution speed, which will influence our optimization strategy. Expected answer: Primarily equities and fixed income, with a growing focus on derivatives. Impact on approach: Would prioritize improvements for asset classes with the highest volume and most time-sensitive trades.
Why it matters: Helps quantify the improvement needed and sets clear targets for our enhancement efforts. Expected answer: Current average execution time is 500 milliseconds, while top competitors achieve 200-300 milliseconds. Impact on approach: Would focus on specific bottlenecks causing the lag and aim for at least a 40% improvement in execution speed.
Why it matters: Determines whether we should focus on core performance improvements or expanding capabilities to attract new users. Expected answer: The system is well-established but facing increased competition from newer, faster platforms. Impact on approach: Would prioritize performance optimization over new feature development to retain and grow our user base.
Why it matters: Ensures our solution aligns with overall company objectives and helps prioritize improvements. Expected answer: Improving execution speed is part of a larger initiative to increase market share by 15% in the next fiscal year. Impact on approach: Would focus on improvements that not only enhance speed but also contribute to client acquisition and retention.
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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