BeepHire.ai

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Product Design

Design systems

UX Design

Context

March 2025. Beephire.ai was developed to address the constraints of traditional recruitment processes in India, where volume-heavy, high-stakes hiring campaigns are common and require smarter, faster tools.

March 2025. Beephire.ai was developed to address the constraints of traditional recruitment processes in India, where volume-heavy, high-stakes hiring campaigns are common and require smarter, faster tools.

The Problem

  • Confusing and fragmented workflows across multiple tools.

  • Poor usability in early AI prototypes, making adoption harder.

  • Lack of design consistency, slowing down development and reducing trust in the product.

  • Confusing and fragmented workflows across multiple tools.

  • Poor usability in early AI prototypes, making adoption harder.

  • Lack of design consistency, slowing down development and reducing trust in the product.

  • Confusing and fragmented workflows across multiple tools.

  • Poor usability in early AI prototypes, making adoption harder.

  • Lack of design consistency, slowing down development and reducing trust in the product.

The Solution

  • Introduced a scalable design system to ensure brand consistency and speed up the MVP build.

  • Redesigned Lovable prototypes into polished, production-ready UIs, improving usability and visual hierarchy for recruiters.

  • Simplified recruiter workflows with intuitive navigation and clear feedback loops, reducing friction and making adoption easier.

  • Collaborated cross-functionally with engineering and product to align AI features with recruiter mental models.

  • Introduced a scalable design system to ensure brand consistency and speed up the MVP build.

  • Redesigned Lovable prototypes into polished, production-ready UIs, improving usability and visual hierarchy for recruiters.

  • Simplified recruiter workflows with intuitive navigation and clear feedback loops, reducing friction and making adoption easier.

  • Collaborated cross-functionally with engineering and product to align AI features with recruiter mental models.

Casestudy - WIP 🔜

Credits

Project includes

Design system for BeepHire.ai

BeepHire SaaS Product

Lovable Prototypes

team

Product Manager

Abhinav

Product Designer

Muhamed Shibili

Get in touch

Send an email or DM and I'll get back to you asap.

All rights reserved © 2025 muhamed shibili

Get in touch

Send an email or DM and I'll get back to you asap.

All rights reserved © 2025 muhamed shibili

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