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Product Management Metrics Question: Defining success for Cabify's in-app tipping feature using key performance indicators

how would you define the success of cabify's in-app tipping feature?

Product Success Metrics Medium Member-only
Metric Definition Stakeholder Analysis Product Strategy Ride-Sharing Gig Economy Mobile Apps
User Engagement Product Metrics Ride-Sharing Driver Retention Feature Success

Introduction

Defining the success of Cabify's in-app tipping feature requires a comprehensive approach that considers multiple stakeholders and metrics. To effectively evaluate this product success metric problem, I'll follow a structured framework covering 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

Cabify's in-app tipping feature allows riders to add a gratuity to their fare directly through the app after completing a ride. This feature aims to provide a convenient way for passengers to show appreciation for excellent service while potentially increasing driver earnings and satisfaction.

Key stakeholders include:

  1. Riders: Seeking a seamless tipping experience
  2. Drivers: Looking to increase earnings and receive recognition
  3. Cabify: Aiming to improve driver retention and platform competitiveness
  4. Payment processors: Handling additional transactions

User flow:

  1. Rider completes trip
  2. App prompts for rating and optional tip
  3. Rider selects tip amount or custom value
  4. Tip is added to fare and processed

This feature aligns with Cabify's strategy to differentiate itself in the competitive ride-hailing market by focusing on driver satisfaction and retention. Compared to competitors like Uber and Lyft, Cabify's implementation may vary in terms of suggested tip amounts or timing of the prompt.

Product Lifecycle Stage: Growth - The feature has likely been introduced and is now being optimized for wider adoption and increased usage among the existing user base.

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