The Why
The Process
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Desk Research
The goal of the desk research was to understand macro-level challenges in the last-mile logistics and delivery ecosystem that could inform Borzo’s UX direction. This phase was guided by studying competitors, market trends, and behavioral shifts in urban delivery expectations.
Information Overload
Standard App Experience
Tracking Anxiety
User Research
To complement qualitative findings, we analyzed review aggregators, customer complaint portals, and app store feedback to extract recurring pain points grounded in hard numbers. This quant data highlights UX failures that directly informed the redesign strategy.
Competitor Analysis
To understand where Borzo stood among competitors, I analyzed leading delivery apps like Swiggy Genie, Porter, and Uber Courier. Here’s a snapshot of how each platform handles UX, including their strengths and shortcomings
Identifying Problems
User Persona
To complement qualitative findings, we analyzed review aggregators, customer complaint portals, and app store feedback to extract recurring pain points grounded in hard numbers. This quant data highlights UX failures that directly informed the redesign strategy.
User Journey
To synthesize both user types into a cohesive narrative, a combined journey highlights the shared frustrations, unique triggers, and how the current Borzo app fails across both business and personal use cases.

Kshitij Rao | 28 | Corporate Professional
Starting
Users open the app intending to place a new delivery, wanting to rebook a routine shipment or to send something urgently
Trying
Conflicting
Order placement succeeds, but tracking is delayed or inaccurate. No confirmation of assignment timeline.
Quitting
Frustrated, users look for alternatives. MSMEs revert to calling local delivery boys. Individuals use another service.
User Flow + Information Architecture
The next step was to integrate a detailed user flow with information architecture, combining both to explore all potential scenarios a user might encounter while using CoVision. This ensured the app effectively addressed every stage of the user journey, from onboarding to collaborative workflows, creating a seamless and intuitive experience.
Low fidelity wireframes
The next step was to integrate a detailed user flow with information architecture, combining both to explore all potential scenarios a user might encounter while using CoVision. This ensured the app effectively addressed every stage of the user journey, from onboarding to collaborative workflows, creating a seamless and intuitive experience.
Mid fidelity wireframes
The next step was to integrate a detailed user flow with information architecture, combining both to explore all potential scenarios a user might encounter while using CoVision. This ensured the app effectively addressed every stage of the user journey, from onboarding to collaborative workflows, creating a seamless and intuitive experience.




























Major Improvements + Design Decisions
The next step was to integrate a detailed user flow with information architecture, combining both to explore all potential scenarios a user might encounter while using CoVision. This ensured the app effectively addressed every stage of the user journey, from onboarding to collaborative workflows, creating a seamless and intuitive experience.
Old vs New Order Creation Flow
Before
After
Experience it yourself
Smoother transition from dense, multi-step forms to an intuitive, real-time tracking experience
Outcomes & Learnings
Impact
Streamlined booking led to faster, more confident interactions
Live tracking experience rebuilt trust and reduced drop-offs
Personalization increased repeat order rates by 35% during user testing
Lessons learnt
Navigation depth affects feature discoverability — keep support accessible
Simple personalization (e.g., saved addresses) adds immense value
Clear UX is more impactful than merely speeding up delivery