About This Simulation

Your Role
Senior Full Stack Engineer at
Evress Analytics

Your Goal
Your Mission
Handle urgent, unclear client data demands solo amid missing info and high expectations.
Simulation Details
Evress Analytics is a leading innovator in the EdTech industry, specializing in advanced data observability solutions for educational organizations. Its flagship platform processes trillions of data points daily, enabling schools, districts, and state agencies to make data-driven decisions that improve student outcomes. Leveraging cutting-edge technologies like AWS Cloud, Apache Spark, and DataDog, Evress Analytics ensures high-performance data processing and system reliability. The company is recognized for its commitment to democratizing actionable insights while maintaining strict privacy standards. As a remote-first organization, Evress Analytics fosters a culture of responsiveness, intellectual candor, and trustworthiness, empowering its team to tackle complex challenges with creativity and transparency.
You are a Senior Full Stack Engineer at Evress Analytics, tasked with addressing an urgent client request from a high-value account during the weekend. The client needs a solution to integrate legacy student performance data with real-time analytics dashboards and develop a new reporting feature with interactive heatmaps and predictive analytics. However, the requirements are vague, and several blockers, including missing credentials and unfamiliar technologies, complicate the task.
Your mission is to engage in detailed conversations with Mariana Chen, the Customer Success Lead, to clarify the client’s needs, resolve blockers, and negotiate priorities. You must present a transparent action plan that outlines the steps to address the client’s requirements, balancing technical feasibility with business urgency. Throughout the simulation, you will demonstrate creativity, openness, and proactive communication to preserve the client relationship and uphold Evress Analytics’ reputation for responsiveness and innovation.
– Engage in real-time chat with Mariana Chen to clarify the client’s vague requirements and resolve blockers.
– Ask targeted questions to extract critical information about the client’s needs.
– Present a clear and actionable plan to Mariana Chen, outlining prioritized tasks and surfacing risks.
– Negotiate priorities with Mariana to align on the most critical aspects of the client request.
– Demonstrate creativity, openness, and proactive communication to ensure client satisfaction and maintain Evress Analytics’ reputation.
Team
Who you will work with in this Simulation
Your team is 100% generated by AI – you will not interact with real people and no human will read your conversation.
Senior Full Stack Engineer
Customer Success Lead
Co-Founder & CTO
Organization
A pioneering force in the EdTech industry, specializing in advanced data observability solutions tailored to educational organizations.

Helpful for
Senior Full Stack Engineer, Data Analyst, Cloud Solutions Architect
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