Should Sennder prioritize expanding its carrier network or improving its existing shipper-carrier matching algorithm?

Introduction

The trade-off question at hand is whether Sennder should prioritize expanding its carrier network or improving its existing shipper-carrier matching algorithm. This scenario involves balancing growth with optimization in a digital freight forwarding platform. My response will analyze the implications of each option, considering various stakeholders and potential outcomes.

Step 1

Clarifying Questions (3 minutes)

• Context: I'm assuming Sennder is facing increased demand from shippers. Could you confirm if this is the case, and if so, what's driving this growth?

Why it matters: Helps understand the urgency of network expansion vs. algorithm improvement Expected answer: Yes, due to e-commerce boom and supply chain disruptions Impact on approach: High growth might favor network expansion, while steady state could prioritize algorithm optimization

• Business Context: Based on Sennder's business model, I imagine revenue is tied to successful shipments. What's our current take rate, and how does it compare to industry standards?

Why it matters: Indicates whether growth or efficiency should be prioritized Expected answer: Take rate is competitive but slightly below industry average Impact on approach: Lower take rate might suggest focusing on algorithm improvement for better margins

• User Impact: I'm thinking about our shipper satisfaction rates. Are we seeing any trends in feedback regarding match quality or carrier availability?

Why it matters: Identifies pain points in the current user experience Expected answer: Mixed feedback, with some complaints about match quality Impact on approach: Negative feedback on matches would lean towards algorithm improvement

• Technical: Considering the current algorithm, what's our match success rate, and how does it compare to manual matching?

Why it matters: Assesses the potential impact of algorithm improvements Expected answer: Algorithm performs 20% better than manual, but still room for improvement Impact on approach: Significant room for improvement might prioritize algorithm focus

• Resource: Looking at our team structure, what's the current split between business development (for carrier acquisition) and data science/engineering?

Why it matters: Determines our capacity to execute on either option Expected answer: 60% business development, 40% technical Impact on approach: Existing team structure might favor network expansion in the short term