Hiring Based on “Wow Factor” Is a Risk: Here’s What to Measure Instead

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A recent article in Canadian HR Reporter examined comments from Elon Musk, CEO of Tesla and one of the most influential business leaders globally, suggesting that hiring decisions should hinge on whether a candidate creates a “wow” impression within the first 20 minutes of an interview.1

But the evidence tells a different story. When hiring decisions rely primarily on conversational impressions, organizations are not identifying the best candidates; they are selecting the most engaging ones.

This article examines why structured interviews and validated assessments lead to more accurate, defensible hiring decisions.

Elon Musk’s Hiring Advice Is Misguided

In an interview with Stripe cofounder John Collison and podcaster Dwarkesh Patel, Elon Musk suggested leaders should not focus on résumés but instead trust their interaction with a candidate — specifically whether the conversation makes them say “wow” within the first 20 minutes. That approach may sound efficient, but it relies on exactly the kind of unstructured interview process research has repeatedly shown to be unreliable.2

Unstructured interviews are informal, conversational, and loosely guided. They are widely used and consistently inaccurate. Although they often feel insightful, unstructured interviews are highly vulnerable to bias and poor judgment. Research shows that:

  • First impressions form within seconds and shape the entire evaluation3
  • Interviewers seek information that confirms those initial judgments4
  • Communication style and likeability often outweigh job-relevant capability5

The result is predictable: candidates who are articulate and confident outperform candidates who are better suited to the role.

Over time, the impact of hiring based on impressions formed in unstructured interviews compounds. Unstructured interviews weaken hiring quality, distort leadership pipelines, and reinforce bias.

How Gut-Feel Hiring Increases Bias and Reduces Diversity

Intuition does not remove bias; it amplifies it. When hiring decisions are based on “fit” or “vibe,” managers tend to favour candidates who:

  • Share similar backgrounds or experiences
  • Communicate in familiar ways
  • Perform well in high-pressure conversations

This leads to:

  • Less diverse leadership pipelines6
  • Overselection of specific personality types
  • Overlooking candidates who may perform well on the job but interview less strongly

Hiring based on intuition also creates false positives. Strong communicators are often mistaken for strong performers, particularly in roles where outputs can be polished or supported.

What Predicts Job Performance Better Than Gut Instinct

If the goal is to hire for performance, the hiring process must be structured.

Three methods consistently outperform intuition-based interviews:

Structured Interviews Improve Hiring Accuracy

Structured interviews standardize questions and scoring, ensuring every candidate is evaluated against the same criteria.

Effective structured interviews:

  • Focus on past behavior and real scenarios
  • Use consistent, job-relevant questions
  • Apply defined scoring frameworks

This converts interviews from subjective conversations into comparable data — improving both accuracy and fairness.8

Work Samples Demonstrate How Candidates Will Perform on the Job

Work samples assess candidates on tasks that reflect the actual role. Examples include presentations, case analyses, or job-relevant exercises. They are among the strongest predictors of job performance because they measure capability directly, not self-reported ability.

Validated Assessments Add Objectivity to Hiring Decisions 

Assessments provide a consistent, objective measure of capability across candidates.

These may include:

  • Cognitive ability measures
  • Leadership competency assessments
  • Personality tools linked to performance

To be effective, they must be reliable, validated, and relevant to the role. Used alongside structured interviews, assessments reduce subjectivity and improve decision quality.9

How to Build a More Reliable Hiring Process

Hiring accuracy improves when decisions are grounded in consistent, job-relevant evidence, not individual impressions. That requires a shift from informal evaluation to a defined process.

A more reliable hiring approach typically includes:

  • Clear success criteria: Define what effective performance looks like before evaluating candidates. This includes identifying the competencies, behaviors, and outcomes required for success in the role.
  • Structured interviews: Ask the same job-relevant questions and evaluate responses using predefined scoring criteria to ensure consistency across candidates.
  • Work samples or simulations: Assess how candidates perform on tasks that reflect the actual demands of the role.
  • Validated assessments: Use tools with demonstrated reliability and predictive validity to measure cognitive ability, leadership capability, or other relevant traits.
  • Structured reference checks: Gather consistent, role-specific information about past performance, rather than relying on informal conversations.

This approach does not eliminate judgment — it improves it. It ensures that decisions are based on comparable data, reduces the influence of bias, and increases confidence that selected candidates can perform in the role.

Add More Structure to Leadership Hiring

Better hiring decisions start with better evidence. SIGMA’s employee selection assessments help organizations evaluate candidates more objectively and identify who is most likely to succeed in the role. They are research-based, practical to use, and designed to support more confident talent decisions.

For leadership hiring, the Leadership Skills Profile – Revised® (LSP-R®) provides a structured view of expected leadership performance. Grounded in SIGMA’s flagship leadership assessment, the LSP-R uses advanced algorithms to provide a detailed analysis of each candidate, describing how their leadership style is likely to impact their performance.

To learn more about how selection insights can support future development, read SIGMA’s blog Creating a Selection to Development Pipeline. To view a sample Selection Report, click the button below.

Complete the form below to get started or to discuss your organization’s leadership needs with SIGMA.

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  1. Dobson, S. (2026). Is Musk right, is it all about the interview? Canadian HR Reporter. https://www.hrreporter.com/focus-areas/leadership-succession-planning/is-musk-right-is-it-all-about-the-interview/394239 ↩︎
  2. McDaniel, M. A., Whetzel, D. L., Schmidt, F. L., & Maurer, S. D. (1994). The validity of employment interviews: A comprehensive review and meta-analysis. Journal of Applied Psychology, 79(4), 599–616. ↩︎
  3. Willis, J., & Todorov, A. (2006). First impressions: Making up your mind after a 100-ms exposure to a face. Psychological Science, 17(7), 592–598. ↩︎
  4. Nickerson, R. S. (1998). Confirmation bias: A ubiquitous phenomenon in many guises. Review of General Psychology, 2(2), 175–220.. ↩︎
  5. Barrick, M. R., Shaffer, J. A., & DeGrassi, S. W. (2009). What you see may not be what you get: Relationships among self-presentation tactics and ratings of interview and job performance. Journal of Applied Psychology, 94(6), 1394–1411. ↩︎
  6. Schmidt, F. L., & Hunter, J. E. (1998). The validity and utility of selection methods in personnel psychology. Psychological Bulletin, 124(2), 262–274. ↩︎
  7. McDaniel, M. A., Whetzel, D. L., Schmidt, F. L., & Maurer, S. D. (1994). The validity of employment interviews: A comprehensive review and meta-analysis. Journal of Applied Psychology, 79(4), 599–616. ↩︎
  8. Sackett, P. R., Zhang, C., Berry, C. M., & Lievens, F. (2022). Revisiting meta-analytic estimates of validity in personnel selection. Journal of Applied Psychology, 107(11), 2040–2068. ↩︎
  9. Sackett, P. R., Zhang, C., Berry, C. M., & Lievens, F. (2022). Revisiting meta-analytic estimates of validity in personnel selection. Journal of Applied Psychology, 107(11), 2040–2068. ↩︎

About the Author

Callum Hughson

Managing Editor

Callum is a member of the marketing team and utilizes his communications, marketing, and leadership development experience to create engaging and informative web content for a professional audience. A detailed editor and collaborator, Callum works with SIGMA’s coaches and consultants to deliver evidence-based thought leadership in the area of talent development.