What improvements could Barogo make to its rider app to increase efficiency for delivery partners?

Introduction

To improve Barogo's rider app efficiency for delivery partners, we need to analyze the current user experience, identify pain points, and propose targeted solutions. I'll approach this by examining user segments, mapping the delivery journey, and prioritizing improvements that maximize impact while considering technical feasibility and business objectives.

Step 1

Clarifying Questions

• Looking at Barogo's position in the food delivery market, I'm curious about our current market share and primary competitors. Could you share some insights on where we stand in the competitive landscape?

Why it matters: Determines if we focus on differentiation or catching up to market leaders Expected answer: Mid-tier player with 15-20% market share, competing against larger platforms Impact on approach: Would prioritize unique features to stand out rather than matching competitors

• Considering the importance of rider retention, I'm wondering about our current churn rate and the primary reasons riders leave the platform. Can you provide some data on rider retention and the main factors influencing it?

Why it matters: Helps identify if we should focus on onboarding, ongoing support, or incentives Expected answer: 30% annual churn rate, with earnings and app usability as top concerns Impact on approach: Would prioritize features that directly impact earnings and ease of use

• Given the rapid evolution of delivery services, I'm interested in understanding our product roadmap and any upcoming major features or integrations. What are the key initiatives planned for the next 6-12 months?

Why it matters: Ensures our improvements align with broader company strategy Expected answer: Expanding to new verticals (e.g., grocery) and implementing AI-driven route optimization Impact on approach: Would focus on scalable solutions that support multi-vertical operations

• Considering the critical role of data in optimizing delivery operations, I'm curious about our current data collection and analysis capabilities. What key metrics are we tracking, and are there any data gaps hindering our decision-making?

Why it matters: Determines the feasibility of data-driven improvements and identifies areas for enhanced tracking Expected answer: Basic metrics like delivery time and acceptance rate, but lacking granular data on rider movements and real-time traffic impact Impact on approach: Would prioritize improvements in data collection and analysis capabilities