System Record - Clovers - Video Interview Platform

Interview intelligence platform with integrated tooling for structured interviewer workflows and real-time context during Zoom calls.

Client
Clovers AI
Year
Service
Web Development, Zoom App

System Context

Clovers is an interview intelligence platform that integrates with Zoom to provide real-time interview assistance, structured question guides, and collaborative feedback tools.


The platform surfaces candidate context, role-specific interview questions, and feedback capture directly within the Zoom interface during live calls.

Structural Problems

Hiring teams faced several pain points in their interview process:

  • Inconsistent interviews: Different interviewers asked different questions, making it hard to compare candidates fairly
  • Poor preparation: Interviewers often went into calls without reviewing resumes or preparing questions
  • Lost feedback: Interview notes were scattered across different tools and often lost
  • Coordination gaps: Teams didn't know what previous interviewers had already covered

Problem

Interviewers needed a seamless way to access candidate information and structured questions during live Zoom calls without disrupting the flow of conversation.

Approach

We built a Zoom App that overlays interview guides, candidate profiles, and real-time collaboration tools directly within the Zoom interface.

Outcome

Teams reported 40% faster interview prep time and significantly more consistent candidate evaluations across their hiring process.

System Components

The Clovers Zoom App runs alongside Zoom meetings as an integrated interview companion. Key components include:

  • Smart Interview Guides: Role-specific question templates that ensure consistency across all interviewers
  • Candidate Profiles: One-click access to resumes, LinkedIn profiles, and previous interview notes
  • Real-time Feedback: Capture thoughts and ratings during the interview without switching apps
  • Team Collaboration: See what previous interviewers asked and their assessments
  • React
  • TypeScript
  • Zoom Apps SDK
  • Node.js
  • PostgreSQL

Architecture & Tradeoffs

Building a Zoom App presented specific constraints. The app runs in a sandboxed iframe within Zoom's desktop and web clients, requiring attention to:

  • Performance: The app needed to load instantly and never slow down the video call
  • Security: Handling sensitive candidate data required robust authentication and encryption
  • UX constraints: Limited screen real estate meant every pixel had to count

We built the frontend with React and TypeScript, optimizing for minimal bundle size and instant interactivity. The backend API was built with Node.js, with PostgreSQL for persistent storage of interview data and feedback.

Faster interview prep
40%
More consistent evaluations
3x
App load time
<100ms
Active hiring teams
500+

Operational Outcomes

The platform is used by hundreds of hiring teams. Observed improvements include:

  • Reduced time-to-hire through streamlined interview workflows
  • Improved interviewer preparation and consistency
  • Structured feedback capture across interview stages
  • Documented interview practices for compliance

The app is available on the Zoom App Marketplace.

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Affiliate offices

  • Los Angeles, CA
  • Denver, CO
  • Pasadena, TX