WeKruit

{ 2025 / 07 }

WeKruit

AI-Powered
0 - 1
Product Thinking
UX Strategy

Main Role: Design Lead / UX Designer
Date: 2025 Summer
Duration: 1 month

WeKruit

AI-Powered

0 - 1

Product Thinking

UX Strategy

Main role

Design Lead /

UX Designer

Date

2025 Summer

Duration

1
months

OVERVIEW

RESEARCH & INSIGHT

PROBLEM FRAMING

DESIGN PROCESS

SOLUTION

RESULT

* Overview

What is WeKruit

Manual, fragmented workflows made managing candidate interviews complex and time-consuming, so the product aim to centralize candidate management, task creation, AI-driven question generation, and evaluation tracking.

We delivered an MVP that validated corporate needs and provided a scalable foundation through extensible product architecture and a reusable design system. Through 2 rounds of iteration and 20+ user feedback inputs, I delivered 40+ design assets that raised the product’s usability satisfaction to 7/10 (up to Sept).

Team & Role

Designer

Product

Developer

As Design Lead, I collaborated with a design partner to define the design direction, split ownership of features, and ensure alignment through regular critiques—balancing leadership with hands-on delivery.

Beyond design execution, I collaborated with PMs, and developers to translate requirements into design, balance trade-offs, and align cross-functional goals while ensuring user-centricity.

Timeline

“On average, companies receive 250+ resumes for

each open role — conduct 4–6 interview rounds — and spend weeks of effort before making a single hire.”

“On average, companies receive 250+ resumes for

each open role — conduct 4–6 interview rounds — and spend weeks of effort before making a single hire.”

“On average, companies receive 250+ resumes for

each open role — conduct 4–6 interview rounds — and spend weeks of effort before making a single hire.”

WeKruit is an AI-powered mock interview platform for companies, providing personalized feedback and real-world simulations to help recruiters evaluate candidates more effectively and streamline the hiring process.

Faster Hiring Pipeline

Streamline the recruitment journey to complete the process more efficiently.

Smarter Candidate Matching

Deliver more tailored support to help companies identify the right candidates with precision.

Better Resume Management

Enable easier tracking and handling of multiple applications at once.

Outcome

40+

Design Files

Iterations

20+

Response questionnaire

(up to Sep)

Usability Satisfaction

* Research & Insight

The Reality of Hiring Today

Recruitment requires screening hundreds of resumes and conducting dozens of interviews, yet results in only a single hire — revealing the inefficiency and high cost of the process.

Competitive Analysis

Benchmarking 6 leading solutions to identify gaps in interview execution, ATS workflows, and AI adoption. Comparing products to uncover fragmented user experiences and unmet enterprise needs.

products

Existing solutions are either heavily interview-execution focused (e.g., SparkHire) or mainly ATS-driven (e.g., Greenhouse, Workday). As a result, tracking and feedback remain fragmented, forcing HR teams to manually stitch data across Excel or BI tools.

Around 70% of market players claim to use AI, but most apply it in narrow, isolated ways — such as scoring or video analysis — rather than across the end-to-end hiring process.

Enterprise pain points are not clearly addressed, leaving internal HR challenges unresolved and solutions misaligned with real organizational needs.

2x2 Matrix / Market Positioning Matrix

We compared market solutions across two key dimensions: Workflow Coverage and Evaluation Standardization . Using these dimensions, we built a 2×2 analysis to highlight gaps and opportunities.

Design Opportunities

The current hiring process is inefficient and costly, often requiring hundreds of resumes and dozens of interviews for a single hire. Existing solutions leave workflows fragmented across ATS, interviews, and feedback, while most competitors’ AI applications remain limited to narrow, isolated tasks. This gap creates a clear opportunity to design an integrated, end-to-end platform that delivers adaptive questioning, structured evaluation, and standardized feedback—directly addressing enterprise pain points and improving efficiency, consistency, and decision-making in recruitment.

* Problem Framing

Current Interview Journey Mapping

To dive deeper, we carefully reviewed and evaluated current solution to identify gaps, requiring frequent tool switching and close coordination between two key roles, which leads to inefficiencies and friction.

Core Pain Points

Lengthy and Inefficient Process

Too many disconnected steps slow down the hiring cycle and hurt both HR efficiency and candidate experience.

Low Efficiency

Workflow Fragmentation

Lack of Customization in Questions

Question sets are overly skill-based, leaving little room for customization that highlights individual candidate strengths and stories.

Skill-only Focus

Low Personalization

Difficult Candidate Tracking

Managing multiple candidates in parallel without centralized tracking leads to fragmented updates, missed feedback, and poor decision-making efficiency.

Tracking Overload

Fragmented Updates

* How might we enable enterprises to streamline hiring with adaptive, and data-driven interviews that

drive better decisions and lower costs?

* How might we enable enterprises to streamline hiring with adaptive, and data-driven interviews that

drive better decisions and lower costs?

* How might we enable enterprises to streamline hiring with adaptive, and data-driven interviews that

drive better decisions and lower costs?

Design principles

We defined four core design principle to help me and my product team to design, evaluate and critique the UX details.

Efficiency

Resolve chats fast—cut duplicate clicks and distractions.

Consistency

Keep interactions and visuals uniform—reduce cognitive load and build user trust.

Easy - to - learn

Make every action obvious; less training require.

Accessibility

Ensure everyone can use the product—support diverse abilities and contexts.

* Design Process

I led the design strategy end-to-end—aligning with PMs, developers, and marketing while balancing product value, scalability, and feasibility. I delivered flows, information architecture, high-fidelity designs, and a scalable design system.

So how I answer the questions and address the above challenges?

/ Strategy 01

Drive scalability → Use product thinking to design for sustainable growth

Vision

Set a long-term vision

Defined product goals and value propositions that expand beyond initial use cases.

Modular Design

Design for reuse

built modular workflows, reusable components, and a scalable design system to support cross-team and cross-platform growth.

outcome

Design system

Click to View

Click to View

Balance

Balance now and next

ensured immediate usability while planning for future evolution aligned with roadmap.

Example

Navigation selection

Click to View

Click to View

Validation

Prove scalability

validated approach with iterative prototyping and cross-scenario testing.

Scalable Growth

I applied product thinking to shift the design focus from short-term fixes to scalable systems, building modular components and reusable workflows that ensured today’s usability while laying the foundation for future growth.

/ Strategy 02

Optimize for efficiency → Minimize complexity to deliver MVP fast

Prioritized core features

Ranked pages and functions by value & impact.

High

Low

AI-Powered Mock Interviews

Connection Check (camera + mic test)
Timer & Progress Tracker
Control Buttons (stop, continue, skip)
Interview Timeline
Hint System
Recording Upload & Analysis Popup
Interview End Page (summary + feedback)
Camera & Microphone Controls
Loading/Transition States

Dashboard – Partner/Institution View

Secure Authentication (for each partner)
Custom Branding (logo, name, feature set by package)
Student Management Table (overview of all students)
Filters & Sorting (by performance, activity, etc.)
Add/Edit Students (with CV upload + data inputs)
Interview Status Overview
Reports Access (recordings, transcripts, AI-generated reports)
Report Editing (customize before sharing)
Send Reports to Student Email

Interview Management (within Dashboard)

View Past Interviews
Create New Interview (via template or AI-generated)
Job Description-Based Interview Setup
Past Experience Integration (candidate CV parsing)
Question Bank Integration (add/replace questions)
Custom Interview Templates (form + preview)
Interviewee Invitation (send directly to candidate)

Performance Feedback System

Performance Metrics Dashboard
Emotional & Behavioral Analysis (tone, pacing, confidence)
Cheat/Bias Detection (e.g., eyeball tracking, multiple devices)

Advanced Analytics & Engagement

Cohort-Level Analytics (for institutions)
Longitudinal Performance Tracking
Gamification (progress badges, milestones)

Reduced interaction overhead

minimized page transitions and flows.

Example

· Tooltip / sidebar

Click to View

Measured time & manpower constraints to fit a 1-month timeline.

We accelerated delivery by reusing existing components and templates, while building rapid feedback loops through early stakeholder and user testing to ensure alignment and usability.

/ Strategy 03

Bridge roles → Balance requirements to co-create feasible solutions

Translate needs into design

Convert PM’s feature requirements, marketing’s brand positioning, and developers’ feasibility constraints into actionable design solutions.

Balance trade-offs

Make trade-offs between features, user experience, and technical cost to drive optimal outcomes.

Pitch and advocate

Communicate design value to different stakeholders and advocate for better user experiences.

Facilitate collaboration

Align cross-functional perspectives, build a shared language, and unify goals.

Ensure user-centricity

Keep user needs at the center amid business and technical negotiations.