QPage was an B2B SaaS company revolutionizing recruitment with AI-powered solutions. Our platform streamlines hiring with advanced tools like AI Sourcer, Interview Assistant, and Nurturing Campaign Automation, helping recruiters efficiently source, engage, and hire top talent.
Year
2021 ~2023
Industry
AI SaaS
Scope of work
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Web development
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UI/UX design
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AI automation
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SaaS development
Timeline
2 years


Problem:
The technology sector is facing an unprecedented challenge: attrition rates are soaring, outpacing those in nearly every other industry. A staggering 53% of tech employees reported quitting their jobs in 2020, and industry leaders are bracing for this trend to persist, with 76% expecting continued high turnover.
At the heart of this crisis lies a flawed hiring process: Biases in Hiring, Inefficient Recruiting Operations, Flawed Selection Process.
Solution:
To redefine the recruitment process in the tech industry by delivering a comprehensive, AI-powered platform that empowers hiring teams to make data-driven decisions, reduce biases, and streamline operations, ultimately leading to higher retention rates and a more diverse, qualified workforce.
Tools and Tech: Figma, Jira, Notion, Webflow, Maze, Tally, HTML, CSS, React (TypeScript), Storybook, PHP (Laravel), Combination of in-house model, Davinci (GPT base model), PostgreSQL, Google OCR, AWS, Lambda, Postman, Gitlab, Docker, Kubernetes, Terraform, Kong, Redis, Cloudflare…
Approach
User Persona:
Sarah, a 27-year-old Senior Recruiter based in London who is non-tech savvy, is focused on sourcing top talent that aligns with company values, reducing bias, improving diversity in hiring, and ensuring alignment with hiring managers on equitable practices. She faces challenges such as the pressure to fill roles quickly without compromising quality, difficulty sourcing diverse and qualified candidates, and a lack of candidate transparency and communication. Sarah believes that finding the right talent goes beyond matching skills—it’s about understanding people, removing biases, and giving everyone a fair chance at success.
We integrated a dynamic approach by combining design thinking with Scrumban, allowing for flexibility and iterative development within a user-centered framework.

Built forward-thinking AI capabilities such as AI search, AI matching, AI shortlisting, AI interview assistant, sequence and cohort campaign builders, and an AI email content generator, positioning QPage as one of the pioneers in the field of AI-driven recruiting SaaS.
For us at QPage project was an opportunity to push the boundaries of what a modern AI CRM and ATS software could achieve.
2025