+12% Increase Number of Premium Users by Improving Hiring Efficiency with Screening Questions

My Role

Senior UX Designer

Duration

4 weeks

Team

2 PM, 3 Engineer, 1 Designer

Focus

User Interface, Experience, Adoption, Revenue

The Problem

  • Many applicants were not qualified for the job.
  • Recruiters had to review every CV manually.
  • Finding qualified candidates took too much time.

Validate The Problem

  • Analytics showed a around 28% weekly drop in candidate processing.
  • The data also showed that around 5% of applicants were processed out of hundreds of applications.

Why This Project Matters

  • If this problem continues, employers may post fewer jobs because they lose confidence in the platform, leading to lower revenue.
  • Some premium clients may stop using the platform, resulting in a decline in company revenue.

Brainstorming & Solutions

The brainstorming session involved stakeholders from Product, Business, and Engineering, including both managers and team members

Why We Chose Screening Questions

  • It could be developed and launched quickly.
  • It was simple for recruiters to understand and use.
  • Employers kept full control over their screening criteria.

Research

Requirements

User & Business Goals

  • Help recruiters filter qualified candidates earlier and reduce manual screening.
  • Increase the number of job postings and encourage more employers to upgrade to the Premium plan by offering Screening Questions as a premium feature.

Design Decisions

Testing

Impact

+57%

Adoption

+12%

User upgrade to premium

+35%

Candidate processed

What I've Learnt & Special Thanks

  • Designing screening required system-level thinking across configuration, filtering logic, and evaluation outcomes.
  • Balancing employer control with friction reduction is critical to protecting job posting completion rates.
  • Early alignment with Data and Engineering significantly improves scalability and reduces rework.
  • Introducing structured constraints (e.g., question limits and predefined categories) can enhance both usability and data quality.
  • A feature’s real value lies not only in setup, but in how it impacts downstream workflows and decision-making.
  • Clear visibility and transparency (e.g., ideal answer comparison) increase confidence and reduce manual effort in evaluation.
  • Cross-platform awareness is essential to maintain consistency between employer configuration and candidate experience.
    Special thanks to:
  • Product Design Team: Tasya, Amnesti
  • Product Team: Rusy, Geva
  • Business Team
  • Engineering Team
  • Data Team
  • and everyone involved in making this project possible.