Introduction
Increased error rates in Synechron's automated trading platform implementations for financial services clients pose a significant challenge. This issue directly impacts the core functionality of our product and could have far-reaching consequences for our clients' operations and our company's reputation. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term solutions.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was a recent update. Impact on approach: If confirmed, we'd focus on changes made in that update.
Why it matters: Different error types point to different root causes. Expected answer: A mix of execution and data processing errors. Impact on approach: We'd investigate both the execution engine and data pipelines.
Why it matters: External factors could be exacerbating internal issues. Expected answer: Some correlation, but not consistent. Impact on approach: We'd need to factor in market conditions in our analysis.
Why it matters: Helps determine if the issue is systemic or client-specific. Expected answer: Varies by client, with some more affected than others. Impact on approach: We'd investigate client-specific configurations and use cases.
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