A company found its top engineers were "difficult." Before changing hiring criteria to favor this trait, they checked their worst-performing engineers and found they were also difficult. The trait was common to all engineers, not a signal of success, revealing a classic survivorship bias.
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To avoid the trap of hiring 'good enough' people, make the interview panel explicitly state which current employee the candidate surpasses. This forces a concrete comparison and ensures every new hire actively raises the company's overall talent level, preventing a slow, imperceptible decline in quality.
An internal data analysis at McKinsey revealed that resilience—specifically, having a setback and recovering—is a better predictor of making partner than perfect grades. The firm has changed its hiring process to actively screen for this trait.
The belief that simply 'hiring the best person' ensures fairness is flawed because human bias is unavoidable. A true merit-based system requires actively engineering bias out of processes through structured interviews, clear job descriptions, and intentionally sourcing from diverse talent pools.
To make a hire "weird if they didn't work," don't hire for potential or vibe. Instead, find candidates who have already succeeded in a nearly identical role—selling a similar product to a similar audience at a similar company stage. This drastically reduces performance variables.
A person's past rate of growth is the best predictor of their future potential. When hiring, look for evidence of a steep learning curve and rapid progression—their 'slope.' This is more valuable than their current title or accomplishments, as people tend to maintain this trajectory.
When hiring, prioritize a candidate's speed of learning over their initial experience. An inexperienced but rapidly improving employee will quickly surpass a more experienced but stagnant one. The key predictor of long-term value is not experience, but intelligence, defined as the rate of learning.
Sales experience on a resume can be a 'false positive.' When hiring SDRs, prioritize untrainable qualities like work ethic, mindset, and resilience over specific past roles. These character traits are a better predictor of long-term success than skills that can be taught.
The "attitude vs. aptitude" debate is flawed. Instead, hire the person with the smallest skill deficiency relative to the role's requirements. For a cashier, attitude is the harder skill to train. For an AI researcher, technical aptitude is. The key question is always: is it worth our resources to train this specific gap?
By adding resilience as a core hiring criterion, Pinterest naturally attracts diverse candidates from non-traditional backgrounds who have overcome adversity. This focus shifts hiring away from traditional signals of success, increasing diversity and bringing in employees who are better equipped for business challenges.
Beyond IQ and EQ, interview for 'Resilience Quotient' (RQ)—the ability to persevere through setbacks. A key tactic is to ask candidates about their proudest achievement, then follow up with, 'What would you do differently?' to see how they navigated strife and learned from it.
