Project Overview
About Project
A UX project for the AI-powered sales recruitment platform, PolarisJobs, aimed at assisting the company in designing an efficient and user-friendly recruitment tool tailored for US startups and SMEs to easily find the ideal sales candidate.
My Deliverables
Conducted research, including formulating interview questions, conducting interviews, and synthesizing insights.
Formulated strategic concepts, defined project scope, and contributed directly to the design work.
Established a cohesive UI style guide for product consistency.
Developed components and created interactive prototypes in Figma for hands-on design.
My Role
UX/UI designer,
UX Researcher
Project Duration
Jun 2023 - Sep 2023
3 months
Team
5 UX Designers,
1 UX researcher
Tools
Figma
Google Doc.
Problem Overview
How might we help recruiters to hire the right salespeople easier and faster for startups/SMEs in the US?
When hiring sales candidates, recruiters often grapple with a high volume of applications, verifying overstated qualifications, essential soft skills, and domain-specific knowledge needs.
Solution Overview
Our solutions blend human evaluation with AI efficiency, streamlining note-taking, reducing bias, and saving recruiters time. This fosters clearer communication and empowers recruiters to assess candidates comprehensively. Ultimately, our system helps recruiters find the ideal candidates more efficiently.
01. User Research
Interview Finding
Assessing Candidate Attributes and Soft Skills in a Competitive Market
We conducted interviews with 12 participants, specifically HR professionals, and recruiters, all of whom possess extensive experience in the hiring process and a deep understanding of its pain points.
We took notes when interviewing the participants, and organized the notes based on different themes by using the affinity map.
Pain Point 1
Candidate Attribute Evaluation Challenges
Struggling to precisely evaluate a candidate's attributes, leading to challenges in assigning a truly reliable assessment score.
As a recruiter, I find that sales candidates with domain knowledge are invaluable. It boosts their credibility, expedites onboarding, and leads to more effective client engagements.
Pain Point 2
Candidate Assessment and Turnover Challenges
Having hard time to know the accuracy of assessing candidates' soft skills, dealing with high turnover rates, and finding candidates with relevant industry experience.
Sales candidates with strong problem-solving skills are essential. They can navigate challenges and adapt, turning potential setbacks into opportunities.
Key Insight
Optimized Screening
Improved filtering tackles inaccuracies, platform variations, and communication overload in initial selection.
Comprehensive Evaluation
Interviews yield comprehensive assessments for fair candidate selection.
AI Trust
Fostering trust in AI includes transparency and reliable decisions.
Persona
02. Understand
Journey Map
Map users pain point with behaviors
By utilizing a user journey map, we effectively pinpointed and addressed every pain point, offering robust recommendations tailored to their emotions and specific contexts.
Redefine HMW
How might we expedite the interview process for SME owners/Recruiters hiring sales candidates through an AI analysis tool that leverages AI-powered note-taking & auto-assessment for increased efficiency, transparency, and accuracy to earn trust with both SME owners & sales candidates?
Ideation
How to Streamline Sales Candidate Hiring with AI-Powered Efficiency and Trust
We did brainstorming based on our refined HMW, tried to comes up as many as solutions we can think about and focus on interview process (before, during, and after interview). Then, we did 2 by 2 Matrix to evaluate our ideas by AI powered and user friendliness.
Brainstorm ideas/solutions
2 by 2 brainstorming
Down Selection
Comprehensive AI-Enhanced Productivity Suite
We comes up with these solutions for During and After interview process
During Interview
Interview Notes & Evaluation
• Note-Taking
• AI Analysis & Alert
• AI-suggested Follow-up
Evaluation
Writing Efficiency with Error Reduction
• AI-Generated Summary Feedback
• AI-Powered Writing Assistant
Assessment & Compare
Candidate Analysis & Comparison
• AI-Powered General Information
• AI-Powered Interview Evaluation
• AI-Powered Interview Question Breakdown
• Candidate Comparison
03. Design & Iteration
User Flow
A comprehensive way to understand and hire a candidate
The user flow of recruiters hiring a sales candidate from the interview through making the final decisions (our team focuses on the hiring process after scheduling the interview) We break the process into 4 phases, During the interview, Evaluation, Assessment, and Compare.
Problem Statement 1
How could AI assist recruiters in gaining a comprehensive understanding of a candidate within the limited time frame during the interview?
Solution 1.1
Effective note-taking
How to jog down crucial information in a clear and efficient manner
Feature
Note-Taking
Integrated note-taking
Seamless note-taking experience with enhanced efficiency
Highlighted human perspective
Human evaluation is irreplaceable by AI and should be prioritized
Solution 1.2
Evidence-based evaluation
How to verify the validity of candidates story and answers?
Feature
AI Analysis & Alert
Concern Detection
Non-disruptive reminder to flag potential concerns to make evaluation easier
Flexibility and Trust
Flexibility in relying on AI insights; Cultivate AI trust
Feature
AI-suggested Follow-up
Relevant follow-ups
Questions tailored to address potential concerns and problems, ensuring a thorough candidate assessment
Problem Statement 2
How can AI assist recruiters in enhancing the efficiency of writing evaluation feedback for candidates while minimizing errors?
Solution 2.1
Increase writing efficiency
Recruiters' notes, lack of organization due to time constraints
Feature
AI-Generated Summary Feedback
Bias Mitigation
Minimizes bias by synthesizing feedback from recruiters and candidates, reducing subjective influence.
Time Efficiency
Reduces the time recruiters spend crafting feedback, accelerating the evaluation process.
Feature
AI-Powered Writing Assistant
Enhanced Clarity
Improves the clarity and coherence of recruiter's notes, ensuring better communication.
Professional Presentation
Enhances note professionalism and content quality by rectifying errors, reflecting positively on the recruitment process.
Solution 2.2
Minimize errors
Recruiters might unintentionally introduce bias and errors in communication style
Problem Statement 3
How can AI assist recruiters in better understanding each candidate’s performance and finding the most ideal person for the position?
Solution 3.1
Fully understand candidates
Lack of information and data to help analysis candidates performance.
Feature
AI-Powered General Information
Clear Basic Info
Easy and clearly shown candidate’s basic information and stages to track easily.
AI-Powered Summary
Provide AI-powered overall score and candidate highlights performance summary to help recruiter better follower strength & weakness.
Feature
AI-Powered Interview Evaluation
Comprehensive Skill Evaluation
Comprehensive fair skill evaluation based on AI/ Human and Both scores data. Recruiter can freely switch preferred mode to view the corresponding skill analysis.
Feature
AI-Powered Interview Question Breakdown
Interview Debriefing
Interview breakdown facilities recruiters aiding in retrospective interview analysis and continuous feedback improvements.
Solution 3.2
Make the best decision
Hard to make decisions among multiple candidates when finding the ideal person.
Feature
Candidate Comparison
Candidates’ Overall Compare
Provides a clear overview of candidates' strengths, weaknesses, and various alignment with company needs. Help recruiter find the most ideal person for the job.
Design System
We followed the Material Design 3 and the UI guide for the branding design, and added our revised component and buttons as needed.
04. Going Forward
Next Step
Keep Testing
Expand the scope
Dive deeper into features to enhance AI trust and optimize recruiters' efficiency. - Minimize biases
Next Step
How to measure success?
Shorten recruitment cycle
Improved recruiter efficiency
Enhanced the accuracy of AI-powered candidate selection
Reduced human errors
Enhanced user satisfaction
Result
Reflection
What went well?
Working closely with recruiters from various backgrounds for feedback
Deep understanding of user pain points and needs
Effective communication with engineers, and stakeholders the team is well-aligned, ensuring the utilization of optimal and suitable design choices.
Good teamwork on the entire design
What we can improve?
More time to improve UI consistency
User testing on Hi-Fi prototype
Plan out for user onboarding