How to assess skills, predict performance and hire with confidence

How to assess skills, predict performance and hire with confidence

Join us for this interactive webinar where we will explore how to design assessments that are predictive, inclusive and secure.

By In-house Recruitment

Date and time

Tue, 17 Jun 2025 02:00 - 03:00 PDT

Location

Online

Refund Policy

Refunds up to 7 days before event

About this event

  • Event lasts 1 hour

89% of hiring failures are due to a lack of soft skills, not technical ability. In a world where CVs and interviews alone cannot predict performance, organisations are increasingly turning to skill-based assessments to hire with clarity and confidence.

Join us for this interactive webinar where we will explore how to design assessments that are predictive, inclusive and secure, while delivering insights that drive better hiring decisions. Learn how leading companies are transforming their approach with data-driven tools that reduce bias, improve candidate experience and avoid costly mis-hires.

What’s being discussed:

  • Why skill-based hiring is growing and how it supports more inclusive and effective recruitment
  • The role of AI in modern assessments including scalability, automation and intelligent scoring
  • Designing assessments that are relevant, role specific and aligned to soft skills
  • Maintaining integrity and preventing cheating while building candidate trust
  • Turning insights into action using assessment data to support confident hiring decisions

Your Speakers:


Webinar agenda

10:00 – Opening announcements

10:05 – Guest speaker presentation

10:15 – Case study presentations

10:45 – Live Q&A session

10:55 – Closing comments

11:00 – Event close

Total duration: 1 hour

Event partner

Canditech helps leading companies avoid expensive mis-hires, and make confident, fast and objective hiring decisions by automatically evaluating both technical and soft skills using job-simulation tests – the best predictor of future job performance.

Organised by

Free