Enabling job-seekers to craft the most accurate resumes, using AI. Quickly.
The modern job searching process is tedious and effort-intensive, and job seekers are overwhelmed. Because of this, job seekers often don’t customize their resumes and cover letters for each job application. This is a problem because it creates a disconnect between ideal candidates and employers. This friction leads to missed opportunities, burnout, and more time spent on the job searching process.
business
BetterHunt
MVP creation
project
type
SaaS
From the ground up, I worked with BetterHunt product owners to design a modern SaaS for job-seekers and workforce orgs. It began as a concept and ended in the hands of our developers.
We designed an AI-powered platform to streamline the job search by offering personalized job recommendations, automated resume optimization, and networking tools. These features help job seekers efficiently tailor their applications, reducing burnout and increasing their chances of connecting with the right employers.
User and market research uncovered some notable pain points…
Job seekers struggle to properly pass ATS systems which is typically done thru keyword matching and customizing resumes to job descriptions
Job seekers struggle to identify the key skills they need for a role. Manually extracting and tracking required skills from job descriptions is time-consuming and inefficient.
Job seekers spend too much time manually tailoring resumes and cover letters for each job, and AI tools don’t preserve their personal tone.
Feature Prioritization
Final choice of features
User personas
Next Steps
While our software is being built by our engineers, we will test our product with users of all backgrounds who are in the job-seeking process when its back in our hands.