UX/UI

web

b2b

saas

AI-powered

polaris jobs

An AI-powered recruitment platform for bridging various startups and SMEs with ambitions sales talent spearheading growth.

TEAM

CEO

1 Product Manager

3 UX Designers

2 UX Researchers

2 Developers

role

UX designer

UX Researcher

tools

figma

adobe Creative Suite

timeline

jun 2023 -sep 2023

launched in Oct. 2023

overview

project brief

New AI-powered toolkit to find best sales talents.

PolarisJobs, incubated by Harvard Innovation Labs, is an AI-powered B2B Sass recruitment tool bridging early-stage ventures and sales talents in the US. The product is designed to help tech companies hire sales talents easier and faster. It uses proprietary algorithms to assess and match candidates with the specific skills and experience companies seek. For CEOs and recruiters, PolarisJobs not only saves time but delivers an optimized hiring experience.

impact

Beta Version Launched in Oct.2023

Successfully delivered 3 MVP features including post-interview evaluation, candidate dashboard, and AI analysis modals. Designs have been handed off for development in Oct,2023. Tested with target beta users, 86NPS ( Net Promotor Score), leading to 50% decrease in time to hire sales talents.

why sales

Sales talent is the cornerstone of startup/SMEs success

Sale professionals are key to driving revenue, with strong sales teams potentially increase their revenue 2.5 times faster than those without. This emphasizes the importance of securing top sales talent for startups focused on growth and market entry.

Sale professionals are key to driving revenue, with strong sales teams potentially increase their revenue 2.5 times faster than those without. This emphasizes the importance of securing top sales talent for startups focused on growth and market entry.

business challenge

Key challenges in tech sales recruitment

According to studies, a notable 46% of new hires fail within 18 months due to soft skill mismatches. This underscores the need for more nuanced and effective evaluation methods.

According to studies, a notable 46% of new hires fail within 18 months due to soft skill mismatches. This underscores the need for more nuanced and effective evaluation methods.

Assessment skills is hard

Difficulty assessing a sale candidate's true capability, especially in soft skills and domain-specific knowledge.

Making right decision

High volume of applications to make the right decision.

Reliability in evaluation

The lack of reliable methods for evaluating candidates overall skillsets.

business goal

Leveraging AI for enhanced hiring precision and speed

We believe AI can enhance hiring precision significantly through analytics and data-driven assessments. For example, AI recommends the best match candidate based on role requirements and candidate analysis. AI also quantifies and visualize candidate's skills and experiences, reducing biased decision-making.

We believe AI can enhance hiring precision significantly through analytics and data-driven assessments. For example, AI recommends the best match candidate based on role requirements and candidate analysis. AI also quantifies and visualize candidate's skills and experiences, reducing biased decision-making.

PROBLEM STATEMENT

HMW utilize AI in sales hiring in a way that empowers informative decision making, hiring efficiency and user trust?

research

primary research

Hiring experts are the primary users

We interviewed 11 users, including recruiters, startup CEOs, HR at big tech to understand their processes, preferences, and pain points in the sales hiring process.

Also using Affinity Map to help us brainstorm possible features and pain points insights.

What our users say?

secondary research

Competitor Analysis

After user interviews with our target user group, me and other UX researcher did competitor analysis on 3 major recruitment tools. Our main approach is to solve the problems encountered in recruitment efforts by understanding what special features different recruitment tools have, whether they are supported by AI or not.

pain points & opportunities

Key Insights & Design Opportunities

After analyzing insights from our users interviewing, we landed on "human first approach". The opportunities lie in emphasizing informative decision making, achieving hiring efficiency and building AI trust.

Having a good set of soft skills is key for sales. However, can feel doubtful at times when relying on experiences and intuition to assess soft skills.

“We want to secure sales as quickly because the right talents are hard to get in a competitive market.”

“I don’t know if the evaluation from AI is trustworthy and accurate.”

Leverage interview recordings and other data as the the foundations of AI analysis and evaluations.

Automate and simplify the workflow, such a post-interview evaluation or skill assessment.

We take a “human first” approach, making sure AI only assist users when necessary.

secondary research
secondary research

User Persona

User Journey Map

business alignment

Aligning Users Goals with Business Goals

The team aligned with the CEO, PM, and developers to synthesize research findings and define user and business goals for the next phase of product design. We carefully balanced user needs with company objectives to identify optimal solutions. Additionally, with assistance from developers, we gained a thorough understanding of design constraints and updated our approach accordingly.

ideation

Generated ideas

Brainstorming Ideas & Features

With design principles in mind, the team brainstormed with PM and CEO to gather ideated features by what phase they are at before, during, and after interview.

Then we narrow down our ideas, focusing only on during interview and after interview assessment.

With design principles in mind, the team brainstormed with PM and CEO to gather ideated features by what phase they are at before, during, and after interview.

Then we narrow down our ideas, focusing only on during interview and after interview assessment.

convergent planning
convergent planning

Feature Defined with PM and CEO

We scoped features based on research insights and got feedback from designers, engineers, and product managers. My new task is to design for dashboard for Post-interview evaluation and candidate evaluation.

These decision were made based on solution directly address core user needs, essential features needed to launch MVP, engineer resources & technical feasibility.

MVP

MVP User Flow

Based on the reflected and iterated on the proposed user flow and features. This helped us to gauge the scope of our features and next steps. The flow is focusing on 4 main parts: during interview, interview assessment, evaluations and candidate comparison.

prototype

wireframe

Low-Fidelity Iterations

Adopting key feedbacks from users, PM, developers and CEO, the team focused on making sure final designs are consistent, catered to core needs, and has clear information hierarchy.

Style Guide

final solution

AI-powered interview

Note Taking, AI Analysis & Alert

During the interview process, recruiters can use AI-powered note taking to help them quickly recognize interview questions and record key information about the interviewer's answers. AI analysis & alert can help detect the credibility of the interviewer's answers, send out alerts when there are potentially suspicious answers so that can further examine the content of the interviewer's answers.

During the interview process, recruiters can use AI-powered note taking to help them quickly recognize interview questions and record key information about the interviewer's answers. AI analysis & alert can help detect the credibility of the interviewer's answers, send out alerts when there are potentially suspicious answers so that can further examine the content of the interviewer's answers.

Integrated Note-Taking

Seamless note-taking experience with enhanced efficiency

Seamless note-taking experience with enhanced efficiency

Highlighted Human Perspective

Human evaluation is irreplaceable by AI and should be prioritized.

Human evaluation is irreplaceable by AI and should be prioritized.

Concern Detection

Non-disruptive reminder to flag potential concerns to make evaluation easier.

Non-disruptive reminder to flag potential concerns to make evaluation easier.

Flexibility and Trust

Flexibility in relying on AI insights; Cultivate AI trust.

Flexibility in relying on AI insights; Cultivate AI trust.

interview evaluation

AI-Powered Evaluations

AI-powered evaluation streamline the interview feedback process for recruiters and HR professionals by offering features that facilitate quick completion. Recruiters can choose from pre-existing notes from previous interviews, with AI help generating suggested feedback summaries based on these notes.

AI-powered evaluation streamline the interview feedback process for recruiters and HR professionals by offering features that facilitate quick completion. Recruiters can choose from pre-existing notes from previous interviews, with AI help generating suggested feedback summaries based on these notes.

Bias Mitigation

Minimizes bias by synthesizing feedback from recruiters and candidates, reducing subjective influence.

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.

Reduces the time recruiters spend crafting feedback, accelerating the evaluation process.

Enhanced Clarity

Improves the clarity and coherence of recruiter's notes, ensuring better communication.

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.

Enhances note professionalism and content quality by rectifying errors, reflecting positively on the recruitment process.

Candidate’s Dashboard

AI Trust & Powered Skill Analysis

We want to optimize decision-making with segmented control, recruiters can choose either evaluation score from mixed of both human and AI, human only or AI only. This outcome streamlines evaluations, greatly enhancing efficiency and user control.

Also, encourage decision transparency, the showcase of difference of human and AI score visualization minimize bias, make decisions more informed, increasing trusty in AI recommendations.

We want to optimize decision-making with segmented control, recruiters can choose either evaluation score from mixed of both human and AI, human only or AI only. This outcome streamlines evaluations, greatly enhancing efficiency and user control.

Also, encourage decision transparency, the showcase of difference of human and AI score visualization minimize bias, make decisions more informed, increasing trusty in AI recommendations.

Clear Information

Easy and clear shown candidate’s basic information and stages to track easily.

Easy and clear shown candidate’s basic information and stages to track easily.

AI-Powered Summary

Provide AI powered overall score and candidates highlights performance summary to help recruiter better follower strength & weakness.

Provide AI powered overall score and candidates highlights performance summary to help recruiter better follower strength & weakness.

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.

Comprehensive fair skill evaluation based on AI/ Human and Both scores data. Recruiter can freely switch preferred mode to view the corresponding skill analysis.

Interview Debriefing

Interview breakdown facilities recruiters aiding in retrospective interview analysis and continuous feedback improvements.

Interview breakdown facilities recruiters aiding in retrospective interview analysis and continuous feedback improvements.

Candidate Comparison

Compare Overall Skill & Background

Recruiters have the option to select the position and relevant candidates for comparing assessment details, facilitating clearer visual comparisons of data. This feature offers a comprehensive overview of candidates' strengths, weaknesses, and alignment with company requirements, aiding recruiters in identifying the most suitable candidate for the role.

Recruiters have the option to select the position and relevant candidates for comparing assessment details, facilitating clearer visual comparisons of data. This feature offers a comprehensive overview of candidates' strengths, weaknesses, and alignment with company requirements, aiding recruiters in identifying the most suitable candidate for the role.

takeaway

next steps

Our final design solutions went into early development in October, 2023

learnings
  1. Close collaboration with founders and PMs helped align needs from both user and business goals

  1. Early testings and rapid iterations = Saves time & money

  1. Product design = design thinking + system thinking + business thinking

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Copyright @2023, zhuoying wang