Kyle WongProduct & UX Designer · Data Visualization

UX/UI Designer · Talentup · MVP Design

Designing Decision Clarity Across a Two-Sided Freelancer Marketplace

Talentup is a marketplace to connect agencies and freelance talent in an easy and efficient way. The goal of the project is to offer agencies a platform with trusted talent to reduce wasted resources.

Across both sides of the marketplace, the product challenge was the same: help users make high-confidence decisions in a low-trust environment.

Project typeMVP Design (0 -> 1)
RoleUX/UI Designer
ImpactEnabled a clear product direction that supported early-stage investment and positioned Talentup as a curated alternative to traditional freelance marketplaces. Established a clear information hierarchy for managing multiple active roles simultaneously. Reduced reliance on external tools (spreadsheets, manual tracking) by centralizing decision-critical data
Talentup marketplace screens showing the agency and freelancer product experience

Talentup: decision clarity across a two-sided freelancer marketplace.

Low trust created decision friction on both sides of the marketplace.

Freelancers

Freelancers needed to quickly understand whether an opportunity was relevant, trustworthy, and worth acting on.

Hiring Managers

Hiring managers needed to manage multiple active roles and make safe, informed hiring decisions without relying on fragmented workarounds.

Designing a High-Trust Freelancer Marketplace

Reducing decision friction and accelerating match velocity in a curated talent network

Talentup was a seed-stage startup focused on rethinking how freelancers and hiring managers connect.

Unlike traditional marketplaces that prioritize volume, Talentup was built around a referral-based network, ensuring higher quality opportunities and candidates. The goal was to create a more trusted ecosystem where freelancers could confidently explore and apply to roles without being overwhelmed by low-signal listings.

I was responsible for designing the mobile experience from the ground up, focusing on how freelancers discover, evaluate, and act on opportunities.

The Problem

Freelance marketplaces suffer from two fundamental issues:

1. Low Trust

Users are inundated with:

  • Low-quality job postings
  • Unverified clients
  • Irrelevant opportunities

This creates hesitation and reduces willingness to engage.

2. High Decision Friction

Evaluating a single opportunity often requires:

  • Opening multiple screens
  • Parsing inconsistent information
  • Comparing across tabs

This leads to:

  • Slow browsing behavior
  • Decision fatigue
  • Drop-off before applying

Product Strategy

I focused on reducing the cognitive cost of decision-making.

This meant rethinking the experience around three principles:

1

Fast Evaluation

Users should be able to assess an opportunity within seconds.

2

High Signal, Low Noise

Only the most important information should be surfaced upfront.

3

Immediate Action

Clear, low-friction pathways to accept or pass on opportunities.

Solution

Design Approach

To achieve this, I explored interaction models that support rapid, low-effort decision-making.

This led to exploring a card-based evaluation model, inspired by familiar interaction patterns, not for novelty, but for efficiency.

🧠 Interfaces that enable quick, binary decisions (accept vs. reject) reduce cognitive load and increase engagement.

Talentup mobile solution screen for evaluating freelance opportunities

Iteration 1

Navigation-First Exploration

What I was testing

  • Can users browse efficiently with a lightweight, modular layout?

Outcome

  • Navigation felt hidden and secondary
  • Horizontal scrolling reduced scan-ability
  • Users struggled to compare opportunities quickly

👉 Key Insight: Discovery and evaluation were competing instead of working together.

Talentup mobile iteration with slide-out navigation and horizontally scrollable opportunity cards

Slide-out navigation from the left. Horizontally scrollable opportunity cards

Iteration 2

Structured Browsing

What improved

  • Better discoverability
  • More natural scrolling behavior
  • Easier comparison between roles

What still didn’t work

  • Users still needed to open each card to fully evaluate
  • Decision-making remained slow

👉 Key Insight: Improving layout alone doesn’t reduce decision friction. The evaluation model itself needed to change.

Talentup mobile iteration with bottom navigation and a vertical opportunity feed

Bottom navigation for persistent access. Vertical feed for opportunities

Iteration 3

Decision-Focused Experience (Final)

Key Design Decisions

  • Left-aligned content for faster readability
  • Visual tags to highlight critical details (timelines, requirements)
  • Full-width action buttons to reinforce decisive actions
  • Reduced need to navigate into detail views
Talentup mobile final iteration with expanded opportunity cards and accept or pass actions

Expanded, content-rich cards. Key information surfaced upfront. Clear primary actions: Accept / Pass. Structured hierarchy for rapid scanning

Quickly Scan

Opportunities are structured to highlight only the most important information upfront.

Instantly Evaluate

Users can understand fit, requirements, and value without leaving the feed.

Act Immediately

Clear accept/reject actions eliminate unnecessary steps and keep users in flow.

In high-trust marketplaces, the primary UX challenge is decision-making.

Creating a system that makes hiring decisions feel safe and informed

Talentup is a freelancer marketplace designed to connect agencies with vetted, referral-based talent.

On the surface, the goal was straightforward: Create a centralized platform to manage job postings, freelancers, and project workflows.

But in practice, hiring managers were still relying on spreadsheets, fragmented tools, and redundant hiring strategies to mitigate risk.

Project Goal

When trust is low, users create expensive workarounds.

The product must replace those workarounds with clarity.

This shifted the goal from: “Build a dashboard to manage jobs” to “Create a system that makes hiring decisions feel safe and informed”

Core Problem

Hiring managers lacked the confidence to make a single, decisive hire.

This led to:

  • Redundant hiring (multiple freelancers per task)
  • Wasted budget and time
  • Fragmented tracking across tools
  • Cognitive overload when managing multiple roles

Design Strategy

I focused on decision clarity at scale:

1

Surface the right information at the right level

  • High-level overview for scanning
  • Expandable detail for deeper evaluation
2

Reduce cognitive load across multiple jobs

  • Make comparison effortless
  • Eliminate the need to jump between views
3

Make freelancer status and actions legible

  • Who’s invited
  • Who responded
  • What needs attention

Iteration 1

Linear Tracking

Key Design Decisions

  • Stacked list of bounties
  • Details hidden in separate flows

Why it failed:

  • Forced users into deep navigation
  • No quick comparison across jobs
  • Reinforced spreadsheet-like behavior

👉 Key Insight: Users weren’t just managing tasks, they were making decisions across multiple moving pieces.

Talentup desktop iteration with nested hierarchy for managing bounties and freelancers

Nested hierarchy forces uses into deep navigation resulting into difficulty comparing multiple freelancers

Iteration 2

Expanded Visibility

Key Design Decisions

  • Vertical cards with expandable accordions
  • More information surfaced inline

What improved:

  • Reduced navigation friction
  • Brought more context into a single view

What still broke:

  • Hierarchy unclear
  • Too much vertical scanning
  • Hard to compare across multiple bounties

👉 Key Insight: More information does not always equal better decisions. Structure matters.

Talentup desktop iteration with expandable cards and more inline hiring context

More context in a single view is a good start to improving decision infrastructure

Iteration 3

Decision-Oriented Dashboard (Final)

Key Design Decisions

  • Horizontal + vertical card hybrid
  • Clear separation of:
  • High-level overview
  • Detailed drill-down
  • Freelancer data structured in a 2-column grid

Why it works:

  • Scan → Focus → Act flow
  • Users can quickly scan all bounties
  • Focus on one when needed
  • Take action without context switching
  • Information hierarchy mirrors decision-making
  • Overview = “What needs my attention?”
  • Expanded view = “Do I trust this hire?”
  • Reduced cognitive load at scale
  • Cleaner layout
  • Better use of space
  • Easier comparison across jobs
Talentup desktop final dashboard for comparing bounties and making hiring decisions

Good design changes how users make decisions.

This project started as a dashboard design challenge, but it ultimately became a lesson in how products shape decision behavior.

Hiring managers weren’t failing because they lacked access to talent. They were failing because the system didn’t support confident decision-making.

By restructuring how information was surfaced, organized, and interacted with, the product shifted from a passive management tool into an active decision support system.

Talentup was a decision-making system for both sides of the marketplace.

For freelancers, the product needed to reduce decision friction so users could quickly evaluate opportunities and act with confidence.

For hiring managers, the product needed to replace fragmented workarounds with a clear system for managing multiple roles and making safer hiring decisions.

Together, both sides point to the same product principle: in high-trust marketplaces, design has to reduce uncertainty before it can accelerate action.

Good marketplace UX reduces uncertainty so users can act with confidence.