Should Swing Education prioritize expanding its substitute teacher pool or improving the matching algorithm for existing teachers and schools?

Introduction

The key trade-off for Swing Education lies in prioritizing the expansion of its substitute teacher pool versus improving the matching algorithm for existing teachers and schools. This decision impacts the platform's ability to meet demand, user satisfaction, and overall market growth. I'll analyze this trade-off by examining the current product ecosystem, potential impacts, key metrics, and experimental approaches to inform a strategic recommendation.

Step 1

Clarifying Questions (3 minutes)

• Context: I'm assuming Swing Education is experiencing growth challenges. Could you share more about the current market demand versus our ability to fulfill requests?

Why it matters: Helps determine if the bottleneck is supply or efficiency Expected answer: High unfulfilled demand due to teacher shortage Impact: Would lean towards expanding the teacher pool if confirmed

• Business Context: Based on the platform model, I'm thinking our revenue is tied to successful placements. Is this correct, and are there any other significant revenue streams?

Why it matters: Aligns solution with core business model Expected answer: Primary revenue from placement fees Impact: Would focus on metrics directly tied to successful placements

• User Impact: I'm considering both schools and teachers as our users. Are there any other key stakeholders we need to consider in this decision?

Why it matters: Ensures we address all user needs in the solution Expected answer: Possibly parents or education boards Impact: Would incorporate additional stakeholder needs into the analysis

• Technical: Regarding our current matching algorithm, I'm curious about its current performance. What's our current match rate, and where are the main pain points?

Why it matters: Identifies if algorithm improvement could yield significant gains Expected answer: Moderate match rate with room for improvement Impact: Would influence the potential impact of algorithm enhancement

• Resource: Considering our team structure, I'm wondering about our capacity for both expanding the teacher pool and improving the algorithm. Do we have dedicated teams for each, or would this require resource reallocation?

Why it matters: Determines feasibility of pursuing both options simultaneously Expected answer: Limited resources, need to prioritize Impact: Would affect the recommendation based on current team capabilities