Smart Flow
Partnering with ABC to Rethink Digital Listening

Client
ABC Australia
Duration
10 weeks
Role
User research lead,
experience designer,
UX/UI design assistant
Tools
Figma, Qualtrics, Adobe Creative Suites
Project Description
Smart Flow is an interactive feature designed for the ABC Listen app, aiming to promote healthier media consumption among young adults (18–35). The project addresses the growing concern of media overuse and multitasking by encouraging intentional, mood-aligned engagement.
Objective
Foster regular and balanced interaction with ABC content
Improve content accessibility and personal relevance
Introduce innovative formats that support mindful media habits
Design Challenge
How can we promote healthier digital consumption by aligning content delivery with users’ natural rhythms, needs, and well-being?
ABC challenged us to rethink how content is accessed, timed, and personalized — supporting focus, balance, and intentional habits while increasing long-term user engagement.
Deliverable
Concept design for two interactive interface modes (Standard & Lite)
Personalized prompts and adaptive content based on user states
A cross-platform design proposal
A video walkthrough and presentation deck
Impact Highlights
Enhanced Engagement: Tailors content to user schedules, promoting consistent and mindful use
Improved Accessibility: Flexible access to ABC’s radio, podcasts, and on-demand content
Balanced Consumption: Syncs with calendars and biometrics to support healthy habits
Youth Appeal: Lite mode attracts younger users through quick, adaptable interactions
Feature Overview
Solution Hightlights
Addressing the Brief
Personalized Media Use
Delivers balanced, daily content through real-time sync with user schedule, mood, and biometric input.
Promotes Healthy Habits
Prevents digital fatigue and overconsumption with mindful, adaptive recommendations.
Strategic Alignment with ABC’s Goals
Supports Digital-First Strategy
Enables context-aware media delivery aligned with ABC’s long-term digital transformation goals.
Engages Younger Audiences
Lite mode caters to Gen Z’s preference for quick and responsive media access.
Future Development Pathways
Cross-Platform Scalability
Ready for seamless integration across ABC platforms and services.
Advanced Personalization
Potential to evolve through AI-driven mood tracking and contextual adaptation.
From Insight to Impact
This video showcases how Smart Flow delivers personalized media moments, helping users manage focus, relaxation, and energy throughout their day.
Design Process
Our team followed the Double Diamond framework over 11 weeks, progressing through four key stages: Discover, Define, Develop, and Deliver.
As the project’s research lead, content strategist, and data analyst, I played a central role in framing the design problem, leading primary research, and translating findings into validated design decisions.
Discovery (Weeks 1–4)
We reframed the reverse brief and conducted multi-layered research to understand digital media multitasking.
Methods:
Reverse brief & challenge mapping
Secondary research (academic literature & market reports)
Primary research (user survey + 8 interviews)
Empathy mapping
My role:
Led user research, including survey design, interview facilitation, and transcription analysis
Contributed to early insights that would later inform personas and design directions
Develop (Weeks 7–8)
We generated and evaluated concepts through ideation and feedback.
Methods:
Brainstorming + SCAMPER
Concept clustering
Design critique & evaluation
Early prototyping (paper & low-fi)
My role:
Co-led ideation and prioritization
Supported prototyping of early flows
Created lo-fi design logic that informed final features like stress-based recommendations
Deliver (Weeks 9–11)
We built and validated our solution through testing and iteration.
Methods:
Lo-fi interactive prototype
Two rounds of user testing
Iterative improvements
Final design specification & presentation
My role:
Designed testing protocol and conducted interviews
Led synthesis of usability data
Supported high-fidelity prototype validation and integration of user feedback