For Tealium's EventStream API, should we optimize for maximum data throughput or invest in more granular data filtering options?

Introduction

The trade-off we're examining today is whether to optimize Tealium's EventStream API for maximum data throughput or invest in more granular data filtering options. This decision is crucial for balancing performance with flexibility in our data management capabilities. I'll analyze this trade-off by considering user needs, technical implications, and business impact, ultimately providing a recommendation based on a structured experiment and decision framework.

Step 1

Clarifying Questions (3 minutes)

• Based on our current market position, I'm thinking this decision could significantly impact our competitive edge. Could you share how our EventStream API performance compares to our main competitors?

Why it matters: Helps contextualize the urgency of optimization vs. feature addition Expected answer: We're slightly behind in throughput but ahead in filtering options Impact on approach: Would influence whether to focus on catching up in throughput or doubling down on our filtering advantage

• Considering our user base, I'm assuming we have a mix of clients with varying data volume needs. Can you provide a breakdown of our client segments by data volume processed?

Why it matters: Informs whether we should prioritize high-volume clients or cater to a broader range of use cases Expected answer: 20% of clients account for 80% of data volume Impact on approach: Would help determine if we should optimize for power users or improve accessibility for smaller clients

• Looking at our product roadmap, I'm curious about how this decision aligns with our long-term strategy. Are there any upcoming features or integrations that would be significantly impacted by this choice?

Why it matters: Ensures our decision supports future product direction Expected answer: Planning advanced analytics features that require more granular data Impact on approach: Would lean towards improving filtering options to support upcoming features

• Regarding our engineering resources, I'm wondering about our team's capacity to handle potential architectural changes. How flexible is our current API structure to accommodate either optimization path?

Why it matters: Assesses feasibility and potential trade-offs in development effort Expected answer: Current architecture is modular but optimized for throughput Impact on approach: Might influence timeline and resource allocation for implementation