Paydayly
Paydayly
A Swipe-Based Gig Discovery Platform for Freelancers Helping
freelancers discover, accept, or reject gigs in seconds… without stress.
A Swipe-Based Gig Discovery Platform for Freelancers Helping
freelancers discover, accept, or reject gigs in seconds… without stress.
Project Overview
Project Overview
Paydayly is a gig and freelancing platform that allows users to discover and manage gigs through a swipe-based card interface. Instead of browsing long job lists, users swipe through gigs—accepting, rejecting, or saving opportunities instantly.
Paydayly is a gig and freelancing platform that allows users to discover and manage gigs through a swipe-based card interface. Instead of browsing long job lists, users swipe through gigs—accepting, rejecting, or saving opportunities instantly.
My Role:
My Role:
UI/UX Designer (Product Strategy, UX Research, Wireframing, UI Design, Prototyping)
Tools Used:
Figma, FigJam
UI/UX Designer (Product Strategy, UX Research, Wireframing, UI Design, Prototyping)
Tools Used:
Figma, FigJam
Problem Statement:
Problem Statement:
Traditional gig platforms overwhelm users with: Long job listings, Complex filtersDecision fatigue,
Time-consuming applications
Traditional gig platforms overwhelm users with: Long job listings, Complex filtersDecision fatigue,
Time-consuming applications
For freelancers:
Finding relevant gigs is stressful and slow
For gig posters:
Reviewing applicants takes too much effort
Key Problem:
Users want a faster, more intuitive way to discover and manage gigs without cognitive overload.
For freelancers:
Finding relevant gigs is stressful and slow
For gig posters:
Reviewing applicants takes too much effort
Key Problem:
Users want a faster, more intuitive way to discover and manage gigs without cognitive overload.
Unique Selling Point (USP):
Unique Selling Point (USP):
People are already familiar with swipe interactions from apps like Tinder and TikTok… Then apply this natural interaction to gig discovery
Solution:
A card-based swipe system where users can:
Swipe right to accept/apply
Swipe left to reject
Save gigs for later
View only relevant gigs based on skills
Paydayly turns job hunting into a lightweight, decision-friendly experience.
People are already familiar with swipe interactions from apps like Tinder and TikTok… Then apply this natural interaction to gig discovery
Solution:
A card-based swipe system where users can:
Swipe right to accept/apply
Swipe left to reject
Save gigs for later
View only relevant gigs based on skills
Paydayly turns job hunting into a lightweight, decision-friendly experience.
User Goals
User Goals
Freelancers want to:
Discover gigs quickly
Decide fast
Avoid stress
Get paid transparently
Gig Posters want to:
Post gigs easily
Review candidates fast
Approve or reject with minimal effort
Freelancers want to:
Discover gigs quickly
Decide fast
Avoid stress
Get paid transparently
Gig Posters want to:
Post gigs easily
Review candidates fast
Approve or reject with minimal effort
Design Goals
Design Goals
Reduce time to decision
Make gig discovery effortless
Keep the interface clean and friendly
Emphasize speed and clarity
Highlight key gig details instantly
Reduce time to decision
Make gig discovery effortless
Keep the interface clean and friendly
Emphasize speed and clarity
Highlight key gig details instantly
UI Design Decisions
UI Design Decisions
Color Choices:
Soft gradient for friendliness
High contrast for readability
Card Design
Rounded edges to feel familiar
Clear hierarchy of information
Micro-interactions:
Swipe animations for feedback
Smooth transitions to reduce friction
Color Choices:
Soft gradient for friendliness
High contrast for readability
Card Design
Rounded edges to feel familiar
Clear hierarchy of information
Micro-interactions:
Swipe animations for feedback
Smooth transitions to reduce friction
Prototype & Interaction
Prototype & Interaction
The swipe interaction was prototyped to feel responsive and intuitive, reinforcing fast decision-making.
The swipe interaction was prototyped to feel responsive and intuitive, reinforcing fast decision-making.