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Product Management Analytics Question: Measuring success of Carousell's chat feature for marketplace interactions

how would you measure the success of carousell's chat feature for buyers and sellers?

Product Success Metrics Medium Member-only
Metric Definition Data Analysis Stakeholder Management E-commerce C2C Marketplaces Mobile Apps
User Engagement Product Analytics Marketplace Metrics Communication Features Carousell

Introduction

Measuring the success of Carousell's chat feature for buyers and sellers is crucial for understanding its impact on user engagement and overall marketplace effectiveness. To approach this product success metrics problem effectively, I will follow a simple product success metric framework. I'll cover core metrics, supporting indicators, and risk factors while considering all key stakeholders.

Framework Overview

I'll follow a simple success metrics framework covering product context, success metrics hierarchy.

Step 1

Product Context

Carousell's chat feature is a core component of their mobile marketplace app, enabling direct communication between buyers and sellers. It facilitates negotiations, clarifications, and transaction arrangements, playing a crucial role in the user journey from item discovery to purchase completion.

Key stakeholders include:

  1. Buyers: Seeking to gather information and negotiate prices
  2. Sellers: Aiming to answer queries and close sales
  3. Carousell: Focused on facilitating transactions and improving user experience

User flow:

  1. Item discovery: Buyer finds an interesting listing
  2. Initiation: Buyer starts a chat with the seller
  3. Negotiation: Both parties discuss details and potentially agree on terms
  4. Transaction: If successful, they arrange payment and delivery

The chat feature aligns with Carousell's strategy of creating a seamless, user-friendly marketplace. It differentiates from competitors like eBay or Amazon by emphasizing direct, real-time communication between users.

Product Lifecycle Stage: Mature - the chat feature is well-established but may require ongoing optimization and new features to maintain its effectiveness.

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