Simulation details

Company Overview
ByTek, a leader in the MarTech industry, specializes in AI-driven marketing technologies and real-time data processing. Their flagship product, Audience AI, integrates CRM and web analytics data to enhance customer segmentation and predictive scoring, significantly improving campaign effectiveness. Founded in 2010 by Jane Doe and John Smith, ByTek has formed strategic partnerships with Salesforce and Google Analytics, achieving a 92% customer retention rate and 25% annual revenue growth. ByTek’s technical environment leverages Python, Java, TensorFlow, and Apache Kafka, ensuring scalability and efficiency. The company maintains a 15% market share in the MarTech sector, driven by continuous innovation and customer-centric strategies. ByTek also prioritizes compliance with data privacy regulations like GDPR and CCPA, integrating features such as automated data anonymization and real-time compliance monitoring.

Challenge
Your main challenge is to enhance the integration capabilities of Audience AI, focusing on improving data accuracy and consistency for clients like Sephora and Emirates. Sephora faces a 15% discrepancy in customer data accuracy and a 10% delay in real-time data updates, while Emirates struggles with a 20% gap in unified customer profiles and a 15% reduction in targeted marketing effectiveness. You will need to address technical constraints, such as scaling data processing from 500 to 2000 transactions per second, and ensure compliance with GDPR and CCPA regulations.

Mission
In this simulation, you will assume the role of a MarTech Product Manager candidate at ByTek. Your primary responsibility is to gather customer insights and propose enhancements to Audience AI. You will interact with key stakeholders, including the ByTek CTO, the engineering team, and representatives from Sephora and Emirates. Your tasks include conducting detailed customer interviews to understand their challenges, analyzing the gathered data to identify specific needs and pain points, and proposing actionable improvements and new features for Audience AI. You will collaborate with the engineering team to ensure the proposed features are technically feasible and align with ByTek’s strategic goals. Your decisions will significantly impact the success of the project.

Expected Outcomes
To complete the simulation, you need to covrer the following areas:
1. Customer Interview Summary: Insights and pain points from interviews with Sephora and Emirates representatives.
2. Needs and Pain Points Analysis: Identification and prioritization of the most critical and feasible needs and pain points.
3. Feature Proposal Document: A comprehensive set of new features and enhancements for Audience AI, including technical feasibility and potential ROI.
4. Technical Feasibility Report: Feedback from the engineering team on the implementation and efficiency of proposed features.
5. Final Proposal PDF: A single PDF document containing all the above assets, to be sent to Laura Kim for review.

Success will be measured by the approval of the proposal by the ByTek CTO and engineering team, alignment with customer needs and technical feasibility, and the potential ROI of the proposed features.

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.

Dr. Evelyn Carter
ByTek CTO

Rajesh Patel
Engineering Team Lead

Marie Dubois
Sephora Representative

Ahmed Al-Farsi
Emirates Representative

Laura Kim
ByTek Product Manager

Organization

ByTek, a pioneer in the MarTech industry, focusing on AI-driven solutions and real-time data processing.