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Video Interview Tool

UI/UX

Landing Page

Web Application

An AI-based video interview tool to pre-screen candidates without human intervention. The tool is part of a suite of products for HR personnels and recruitment teams that facilitates high-volume remote hiring.

Requirements

Design screens for live video interviews with AI-generated questions. Report each candidate's performance with score points after the live interview.

Challenges

  • Accessibility: Designing accessible components considering factors like color contrast, screen reader compatibility, and keyboard navigation.
  • Data Privacy: Designing UI elements and features with security best practices in mind to protect user data and privacy.
  • Data Visualization: Displaying interview performance analytics, trends, and insights in a visually appealing and informative manner.
  • Security: Incorporating security measures like authentication, encryption, and access controls within the UI design.
  • Usability: Ensuring data is presented in a clear, comprehensible format for users to make informed decisions.
  • Collaboration: Working with cross-functional teams (developers, product managers, QA testers) to ensure design implementation aligns with requirements and objectives.
  • Performance: Ensuring fast loading times, smooth interactions, and minimal latency during video calls and data processing.

Solutions

  • Conducted accessibility audits and usability tests with users with disabilities to identify and address accessibility barriers.
  • Iterated on UI designs based on user feedback, usability testing results, and analytics insights to improve user satisfaction and engagement.
  • Adopted best practices in data visualization to create clear and meaningful charts, graphs, and dashboards.
  • Performed security audits and penetration testing to identify and address potential vulnerabilities.
  • Provided interactive elements for users to explore data and customize visualizations based on their needs.
  • Conducted regular design reviews and cross-functional workshops to align design and development efforts.
  • Optimized image and media assets for fast loading times.

Requirements

Design screens for live video interviews with AI-generated questions. Report each candidate's performance with score points after the live interview.

Challenges

  • Accessibility: Designing accessible components considering factors like color contrast, screen reader compatibility, and keyboard navigation.
  • Data Privacy: Designing UI elements and features with security best practices in mind to protect user data and privacy.
  • Data Visualization: Displaying interview performance analytics, trends, and insights in a visually appealing and informative manner.
  • Security: Incorporating security measures like authentication, encryption, and access controls within the UI design.
  • Usability: Ensuring data is presented in a clear, comprehensible format for users to make informed decisions.
  • Collaboration: Working with cross-functional teams (developers, product managers, QA testers) to ensure design implementation aligns with requirements and objectives.
  • Performance: Ensuring fast loading times, smooth interactions, and minimal latency during video calls and data processing.

Solutions

  • Conducted accessibility audits and usability tests with users with disabilities to identify and address accessibility barriers.
  • Iterated on UI designs based on user feedback, usability testing results, and analytics insights to improve user satisfaction and engagement.
  • Adopted best practices in data visualization to create clear and meaningful charts, graphs, and dashboards.
  • Performed security audits and penetration testing to identify and address potential vulnerabilities.
  • Provided interactive elements for users to explore data and customize visualizations based on their needs.
  • Conducted regular design reviews and cross-functional workshops to align design and development efforts.
  • Optimized image and media assets for fast loading times.
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