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Product Management Metrics Question: Measuring success of Glovo's delivery tracking feature using key performance indicators

Asked at Glovo

12 mins

how would you measure the success of glovo's delivery tracking feature?

Product Success Metrics Medium Member-only
Metrics Definition Stakeholder Analysis Data Interpretation Food Delivery Logistics On-Demand Services
User Engagement Product Metrics Operational Efficiency Delivery Tracking

Introduction

Measuring the success of Glovo's delivery tracking feature requires a comprehensive approach that considers multiple stakeholders and metrics. To address this product success metrics challenge effectively, 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

Glovo's delivery tracking feature allows customers to monitor their order's progress in real-time from the moment it's placed until it arrives at their doorstep. This feature is crucial for enhancing customer experience and operational efficiency.

Key stakeholders include:

  1. Customers: Want transparency and accurate ETAs
  2. Delivery partners: Need efficient routing and clear instructions
  3. Restaurants/merchants: Require visibility into order status
  4. Glovo: Aims to improve customer satisfaction and operational efficiency

User flow:

  1. Customer places an order
  2. Order is accepted and prepared by the merchant
  3. Delivery partner picks up the order
  4. Customer tracks the delivery partner's location in real-time
  5. Order is delivered, and status is updated

This feature aligns with Glovo's strategy of providing a seamless, transparent delivery experience. Compared to competitors like Uber Eats or Deliveroo, Glovo's tracking feature aims to be more accurate and user-friendly.

Product Lifecycle Stage: The delivery tracking feature is in the growth stage, with ongoing improvements and iterations based on user feedback and technological advancements.

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