Linkatch

Designing an AI-based product for HR recruitment

Led the end-to-end UX and product strategy for Linkatch, an initiative to develop an AI-powered HR recruitment platform. Focused on CV-to-job matching automation, resulting in refined user flows, active development, and near-term client rollout.

Overview

Augmenting HR recruitment with AI capabilities

Designing a workflow that incorporates AI into the HR recruitment process. The focus of the project was using AI to automate matching CV files to job requirements, saving time and money for the hiring companies—an otherwise monotonous and ineffective task for recruiters.

PM
UX
UI

Personas

The project focused on two main user groups:

  • HR Recruiters working in large companies or HR companies
  • Employers that are owners of small businesses

Dana

Recruiter

I don’t have time to read every CV. I need smart tools that help me spot the right candidates faster.

Background

  • Works across multiple job openings at once, often under tight timelines
  • Familiar with ATS platforms but skeptical of AI recommendations

Needs

  • Quick, accurate filtering of large applicant pools
  • Clear rationale behind candidate suggestions

Motivations

  • Wants to reduce repetitive manual screening
  • Seeks to improve hiring speed without sacrificing quality

Concerns

  • Fears black-box AI decisions may overlook good candidates
  • Worried about system integration with existing HR tools

Rami

Employer

Hiring stresses me out. I just want someone good without wasting hours reading resumes.

Background

  • Hires 1-2 employees per year, often without HR support
  • Relies on informal methods: referrals, Facebook posts, basic interviews

Needs

  • A guided, intuitive hiring flow that doesn't require HR experience
  • Help articulating job requirements and understanding candidate fit

Motivations

  • Wants to save time and avoid hiring mistakes
  • Seeks a professional experience to attract better candidates

Concerns

  • Worries about choosing the wrong person due to limited experience in recruitment
  • Skeptical of tools that feel too complex or rigid for small teams

My Role

Planning the Process

This process was created by analyzing data and viewpoints of all the teams collaborating on this project, and understanding the constraints of the project and the technology. This planning phase led to a prototype that evolved over time, guided by ongoing validation and feedback from stakeholders and domain experts.

Solution Development

Design evolution through continuous refinement

Led the development of a single prototype that evolved across several iterations. Each version reflected increasing design maturity, guided by ongoing feedback from users, stakeholders, and domain experts.

V1: Basic Visual Design

The initial version prioritized functionality, using a simple visual style with a basic color palette. It allowed us to focus on core user flows without the distraction of brand styling, making early validation faster and more focused on interaction design.

V2: Branded Experience

This iteration introduced the client’s brand identity into the interface, incorporating a brand-aligned color scheme. It helped convey professionalism and improve stakeholder alignment, while also enhancing usability through more intentional color contrast and visual hierarchy.

3: Native Design System Integration

The final version integrated seamlessly with the client’s native design system. This not only improved UI consistency across platforms, but also enabled easier handoff to development and streamlined long-term maintenance for the internal team.

Results

The product has entered active development, with the latest version incorporating the client’s native design system. It is already in use by a first customer, with additional rollouts underway. The evolving design, from minimal visuals to a fully integrated system, enabled continuous UX improvements and a smoother development process.

  • Refined and validated workflows through successive prototype iterations
  • Visual styling progressively enhanced from basic to fully branded and native
  • Positive early feedback from real-world use and high initial customer satisfaction through successive prototype iterations

Key Takeaways

  • Evolving a single prototype over time enabled us to validate concepts continuously and adapt effectively to user feedback.
  • Gradual visual refinement, from basic to native system design, allowed for early focus on functionality while building stakeholder trust.
  • Seamless collaboration with AI and engineering teams was essential for integrating intelligent features like CV parsing and contextual chat.