How can Mapbox balance the need for detailed, high-resolution satellite imagery with the costs of data storage and processing for its Satellite product?

Introduction

Balancing high-resolution satellite imagery with data storage and processing costs is a critical trade-off for Mapbox's Satellite product. This scenario involves weighing the quality of user experience against operational efficiency and cost management. I'll analyze this trade-off by examining product understanding, metrics, experimentation, and decision-making frameworks to provide a strategic recommendation.

Step 1

Clarifying Questions (3 minutes)

• Based on the competitive landscape, I'm thinking high-resolution imagery might be a key differentiator. Could you share how our current resolution compares to competitors like Google Maps?

Why it matters: Helps assess our market position and potential for differentiation Expected answer: We're on par or slightly behind in some areas Impact on approach: Would prioritize resolution improvements if we're lagging

• Considering our business model, I assume we have tiered pricing based on usage. How does imagery resolution factor into our pricing structure?

Why it matters: Understand revenue implications of resolution changes Expected answer: Higher resolution available in premium tiers Impact on approach: Could explore offering resolution options within tiers

• Looking at user behavior, I'm curious about the most common use cases for high-resolution imagery. What percentage of our users regularly zoom to the highest resolution levels?

Why it matters: Determines the impact of resolution changes on user experience Expected answer: 20-30% of users frequently use max zoom Impact on approach: Would focus on optimizing for power users if percentage is high

• From a technical perspective, I'm wondering about our current data compression techniques. What methods are we currently using to optimize storage?

Why it matters: Identifies potential for technical optimizations Expected answer: Using industry-standard compression, some room for improvement Impact on approach: Would explore advanced compression techniques if not already implemented

• Regarding our infrastructure, I'm curious about our current cloud storage costs. What percentage of our overall operational costs does satellite imagery storage represent?

Why it matters: Assesses the financial impact of storage optimization Expected answer: 15-20% of operational costs Impact on approach: Would prioritize storage optimization if percentage is high