For Airmeet's networking sessions, should we optimize for more connections per user or deeper, longer conversations between fewer matches?

Introduction

The trade-off we're examining for Airmeet's networking sessions is whether to optimize for more connections per user or deeper, longer conversations between fewer matches. This decision is crucial for shaping the user experience and value proposition of Airmeet's networking feature. I'll analyze this trade-off by considering user needs, business goals, and technical feasibility to provide a strategic recommendation.

Step 1

Clarifying Questions (3 minutes)

• Context: I'm assuming Airmeet is a virtual events platform. Is this correct, and are we focusing on a specific event type or all events?

Why it matters: Helps tailor the solution to the right use case Expected answer: Yes, for all event types Impact: Would influence the breadth of the solution

• Business Context: Is the current revenue model based on event organizer subscriptions, or do we have a per-attendee pricing component?

Why it matters: Aligns solution with revenue drivers Expected answer: Subscription-based with tiered pricing Impact: Would affect whether we prioritize quantity or quality of connections

• User Impact: What's the primary user segment we're targeting with this feature - job seekers, business networkers, or a mix?

Why it matters: Different segments may have different networking preferences Expected answer: Mix of professionals across industries Impact: Would influence the balance between quantity and quality of connections

• Technical: What's our current matching algorithm's capability? Can it effectively pair users for deeper conversations based on shared interests or goals?

Why it matters: Determines feasibility of optimizing for deeper conversations Expected answer: Basic matching capabilities, room for improvement Impact: Would affect the timeline and resources needed for implementation

• Resources: Do we have the team capacity to develop and maintain more sophisticated matching algorithms if needed?

Why it matters: Ensures we can execute on the chosen strategy Expected answer: Limited capacity, would need to prioritize Impact: Might lean towards a simpler solution if resources are constrained