Background
AgentNet is a mobile tool provided to property agents who subscribe to PropertyGuru's services. It allows agents to manage listings directly on the platform, which feeds into the consumer-facing property marketplace.
My Role
Lead product designer of this project. I collabo- rated with product manager, a fellow product designer, researcher and the engineering team.
Problem Statement
The AgentNet mobile app is 7 years old. Over time, more products and new features were added, but the current app structure can’t support them anymore.
The main problems:
The app cannot scale for new features.
It uses a legacy codebase that is hard to maintain.
It doesn’t align with the new PG Design System.
Because of this, the app is slowing down development, blocking improvements, and giving agents an inconsistent experience.
Project Goal
Deliver a better user experience with improved structure, scalable features, modern technology, and a fresh design fully aligned with the new PG Design System.
Design Process
1. Team Alignment to Kickstart the Project
Lean UX Canvas aligned us on problems, user needs, and priorities, keeping all project members on the same page.

2. Collecting Agent Pain Points
We gathered agent feedback to identify key pain points in the current app. Agents reported issues with accessing active listings, navigating the dashboard, and managing enquiries efficiently.
These insights became the foundation for our design improvements.

3. Competitor (analysis) Review
Key Competitors Analyzed:
PropertyGuru (Current product)
99.co (Main competitor)
By streamlining our navigation, surfacing key actions, and simplifying the UI, AgentNet V2 can outperform 99.co in speed, usability, and agent satisfaction.

4. Information Architecture Overhaul
We reviewed the current Information Architecture (IA) to understand the flow and structure of the existing app. The current IA was fragmented, with important tasks like listing management, messaging, and insights buried under multiple layers or spread across disconnected screens.
OLD IA
Complex, scattered, hard to scale

New IA: What We Proposed
Streamlined and mobile-first
Clear entry points: Listing Management, Messages, Insights, Reports, Account
Supports agent products and new features like Market Supply Gap

4. High-Fidelity Wireframes & User Testing
After finalizing the new Information Architecture, we designed high-fidelity wireframes to bring the key screens to life, focusing on:
Login
Home Page
Listing Management
Listing Performance
Message and
Create Listing flow

User Testing
We tested the wireframes with selected agents to validate:
Navigation flow and ease of use
Visibility of key features like performance stats, market insights, and agent products
Efficiency of the new Create Listing process


What We Learned
Agents liked the simplified, task-focused dashboard.
They could quickly find their active listings without getting stuck.
Agents found the performance and insights sections useful and easy to understand.
The new listing creation flow was clear and easy to complete.
Impact & Results
After launching AgentNet V2, we saw a ~10% increase in daily active agents in Singapore and a significant jump in Customer Satisfaction Score (CSAT) from 38% to 63%. This confirmed that the new experience better supported agent workflows and improved overall usability.
Metric
Before
After
Daily Active Users (DAU) in Singapore |
Baseline
+10% increased
|
38%
63%
AgentNet V2 Drove Real Impact: Higher Engagement & Happier Agents
Next Steps / Future Improvements
Future plans include adding guided photo-taking, performance dashboards, and in-app notifications to improve task management.
Thank you for Reading.
Next Steps / Future Improvements
Future plans include adding guided photo-taking, performance dashboards, and in-app notifications to improve task management.