Turn your daily steps into automatic savings.
My Role
Product Designer, Product Illustrator
Timeline
12 Weeks
Problem
People want to save money, but most tools don’t fit into everyday life.
Saving apps take effort, and step apps rarely turn movement into real savings. When saving happens in the background without being felt, people lose interest and stop.
Core Experience
WalkFund is the only saving product that turns everyday walking into automatic savings tied to personal goals. (0→1 mobile experience)
Step-Triggered Savings with Financial Safety
WalkFund never stores money. Savings run through Apple Pay, PayPal, or Cash App.
When a step goal is met (e.g., 1,000 steps = $1), a small transfer will be triggered, keeping all savings secure within trusted accounts.
Start at Small, Achievable Savings Goals
WalkFund makes daily steps a small push toward savings goals.
4 steps to set your goal, helping users build a saving habit without pressure or financial overwhelm.
Reach Your Amount and Your Goal
WalkFund celebrates users when they reach their target amount.
The system helps scheduled goals on track with automated recommendations to help users follow through.
Redeem a Nearby Reward
WalkFund offers local rewards that encourage users to walk and explore new neighborhoods.
Community collaboration with partner shops, turning city walks into small moments of delight and neighbor connection.
Ask WAI, Your Smart Saving Companion
WAI helps users make saving and lifestyle decisions confident and transparent.
WAI acts as a light financial and wellness advisor, turning your Why into an answer.
Brand and Icon Design
Design Journey
Research
What existing products get wrong
Most fall into two patterns:
Automation tools: Saving happens invisibly in the background.
Step-reward apps: Rewards are small and disconnected from real financial goals.
Interviews
Interviews with 6 young adults (22-35) in New York:
They want financial stability, but current tools fail to connect saving with their daily lives.
Rewards alone didn’t motivate behavior, but meaning and visibility did.
Synthesis
Key Insights
From interviews and behavioral observation:
People are more motivated when progress feels visible and personal.
Design Principles
Then, we can uncovered 3 opportunities of our product:
Target Users
To focus our opportunity spaces into a clear product direction, I narrowed WalkFund’s audience.This spectrum revealed distinct behavior patterns that shaped WalkFund’s core archetypes.
Here are two dominant groups:
Life-driven who seek meaningful walking moments
Finance-driven who prioritize efficiency and tangible results.
These formed our two personas.
Business Strategy
Why Walking and Saving?
Walking already feels meaningful. Saving often does not.
Behavioral Economics shows that when financial goals are reframed into small, familiar actions, people feel more motivated and confident. (Berkeley Economic Review).
Likewise, research on the Automatic Savings suggests that micro-contributions reduce friction and boost long-term saving behavior (Hershfield, Shu & Benartzi, 2018).
WalkFund brings these theories together by converting daily steps into automatic, visible micro-savings.
If you walk 1,000 steps, then $1 is saved.
System Map
Building Trust First into the System
Walking triggers micro-savings, trusted payment flows keep users confident, and rewards keep them motivated.
The system focuses on habit and trust reinforcement. (Conneted with Paypal, Apple Pay. etc)
Design Concept
Ideation to Final MVP Directions
Then, I generated 50+ feature ideas and narrowed them through structured filters.
To ensure our MVP solved the core user problems, I grouped all ideas into four strategic directions:
Micro-goals Setting — Finance Motivation
Nearby Rewards — Finance Motivation
Progress Visualization — Lifestyle Value
AI Savings Assistant (Personalized Help) — Lifestyle Value
Design Exploration
The sketch quickly visualized how WalkFund could unify trust, micro-saving, and lifestyle motivation. These explorations helped shape the core features.
User Journey
Then, I mapped journey to illustrate how WalkFund’s core features work together and why the MVP set effectively supports both finance-driven and lifestyle-driven users.
Tests and Iterations
Tested 18 participants across in-person with Figma and remote with Useberry
(Round 1: n=9, Round 2: n=9, Final Return: n=3).
Users can understand WalkFund’s core idea: Walk to Save, with 80% accurately re-describing it.
Iteration Principle: reducing choice complexity at the moment of action, making progress feel automatic and reassuring.
Challenge 1: Hidden and Hard-to-Find “Add a Goal” Entry
Round 1 testing (n=9) revealed that users struggled to begin one of the app’s core actions: 6/9 users couldn’t find Add a Goal (buried too deep).
Change: Moved Add a Goal to homepage; Added a second entry in Savings; Surfaced balance earlier
Result:
Find the “Add a Goal” button improved (Avg): 1m14s (Round 1) → 60s (Round 2) → 15s (Final Return).
Round 2 users (n=9) and Final Return (n=3) described the interface as clearer and aligned with expectations.
Challenge 2: Clarifying Savings vs. Digital Coins
From the Round 1, 6/9 users were confused by “Savings vs. Digital Coins (original ideas for the rewards),” which increased cognitive load.
Change: Removed Digital Coins → focused on walk-to-save ; Simplified naming + structure
Result:
Round 2: Users described the interface as clearer, more direct, and aligned with expectations.
No further conceptual confusion reported
Challenge 3: Non-intuitive goal-setting flow
55% of users (Round 1, n=9) rated the original goal-setting flow confusing or unintuitive, citing friction and unclear steps.
Change: Streamlined the flow by merging scattered settings into one simplified flow and reduce cognitive load.
Result:
Task time 64%↓(Avg): 62s (Round 1) → 12s (Round 2);
55% (Round 1) confusion → 100% ease (Round 2, 6/9 Easy ↑ and 3/9 Very Easy ↑↑)
Hi-Fi Mockups
Outcomes
Across the usability test with 18 participants with Figma and remote with Useberry. (Round 1 n=9, Round 2 n=9, Final Return n=3).
I focused on removing friction and observing how small design changes shaped user behavior over time.
Takeaway
Friction wasn’t a setback. It was the signal.
Early tests revealed friction and confusion, which helped me shape each iteration’s direction. This project reinforced a core product principle: clarity, simplicity, and a focus on key behaviors matters more than adding complexity.