An AI-Powered recruitment platform for tech sales
Overview
During my summer internship, I worked on a 0-1 project to develop a B2B SaaS web product to support sales role recruitment. We developed MVP features that enable users to holistically and visually assess candidates' technical and soft skills based on role requirements.
Impact
The beta version was launched in October 2023.
Delivered 3 MVP features, focused on generative AI and data visualization.
Role
Product designer
Team
Product manager
Engineers
Scope
Research, feature scoping, design iterations, user testing
Why sales? What's special about it?
01
Sales is an essential function for tech startups, contributing to revenue and product success
Research shows that a strong sales teams can potentially increase total revenue by 2.5 times faster than those without. This emphasizes the high demand of securing top sales talent quickly for growth and market entry.
Sales as the core teams
Problems at hand
02
Despite its importance, our customers lacked hiring support for sales roles
Sales hiring faces a few unique challenges. For our customers, who are startups and small-to-medium-sized businesses, it is especially crucial to ensure confidence & efficiency in the hiring process to ensure initial success
Final solutions
03
Efficiently write interview evaluations
Generate interview evaluation stright from transcript, notes, and resume data, reducing workload and hassels.
Data Visualization
Confidently hire talents with data analysis
Users leverage data visualization in candiate assessment for faster and easier understanding.
Research summary
01
01 Low efficiency
Writing evaluations takes too much time and effort
"We want to secure sales because the right talents are hard to get in a competitive market.”
02 Analysis support
Soft skills evaluation lacked concreteness
Users reported feel doubtful at times when relying on experiences and intuition to assess soft skills. This created opportunities to boost confidence in hiring decision, potentially leveraging interview recordings and other data as the basis of analysis and evaluation.
03 AI trust
Unsure if we can trust AI recommendation in hiring
“I don’t know if the evaluation from AI is trustworthy and accurate. To address this, the key is user trust.
Leverage AI in our product
02
My team's scope
03
Define data
01
Define the core skills to evaluate from hiring experts
From user interview, we identified 6 core skills that recruiter and startup CEOs look for in an sales candidate. These include communication, result-driven, domain knowledge, problem-solving, sales experience, and resilience.
Visualize data
02
Utilize the right visualization graph to help employer answer two questions
When assessing an candidate, there are two big questions employers need to answer.
First, is this person my top choice among all applicants?
First, employers want to hire the best applicant, and need to know the how current candidate perform compared to other people or the average. I explored the type of chart that is used to compare values across categories.
Second, what are their personal strength & weakness?
Next, employeer may wish to understand a candidate deeper. What areas are they best at? What are they lacking at? I look for the type of chart that offers an intuitive and holistic view of one's various capabilities.
How the visualization looked like
03
Bar chart to compare candidate with averages
Radar chart to compare strengths & weakness
Learnings from designing for SaaS B2B
Alignment of user and business goals
Clearly identify our customers and deeply understand their needs and pain points was vital for aligning our design solutions with business goals.
Prioritization through cross-team collaboration
Navigating constraints became a key part of my design process, as it defines what we can do and what approach to take. Constraints can change throughout the project, so regular check-ins with product owners kept me agile, allowing us to adapt quickly to changes and ensure our designs stayed relevant and impactful.
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