Duolingo's 'Taxi Test' for Hiring New Employees

Duolingo's CEO, Luis von Ahn, revealed that candidates are judged on how they treat taxi drivers. This is a new way to check if someone is kind.

Airport Rides as Gatekeepers for Top Roles

The hiring process at language-learning app Duolingo extends beyond traditional interviews and resumes, incorporating how candidates interact with their drivers from the airport to the office. This "taxi test," revealed by CEO Luis von Ahn, has led to the rejection of candidates based on their reported behavior towards drivers, irrespective of their qualifications.

The Duolingo taxi test—could being rude to the driver cost you your dream job? - 1

Duolingo CEO Luis von Ahn stated that a candidate's treatment of their taxi driver can significantly influence hiring decisions. This practice has resulted in at least one instance where a promising candidate, otherwise deemed suitable for a senior position, was not offered the job after being perceived as "mean" to the driver. Ahn's rationale suggests that such behavior indicates a potential for similar treatment towards colleagues, particularly subordinates. He posits that critical insights into a candidate's character can emerge during the car ride, a moment when individuals may believe they are not under observation.

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The Duolingo taxi test—could being rude to the driver cost you your dream job? - 2

The company reportedly views this as a measure of character, seeking individuals who are not only competent but also demonstrate kindness. Von Ahn explained, "If they are going to be mean to the driver, they’re probably going to be mean to other people too, especially the people working under them." The "confessional booth" analogy, used by an unnamed executive, highlights the belief that the informal setting of a taxi encourages candor, revealing true personalities when individuals are under stress, a common occurrence in high-profile jobs.

The Duolingo taxi test—could being rude to the driver cost you your dream job? - 3

Questions Arise Over Candidate Experience

While Duolingo emphasizes the insight gained from these taxi rides, concerns have been raised regarding the fairness and transparency of this hiring method from the candidate's perspective. The practice implies that individuals are being judged on interactions where they might not realize their behavior is being assessed, potentially leading to subjective evaluations.

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It is often overlooked that job candidates may struggle with consistent self-presentation. The "taxi test" introduces an external, unacknowledged evaluation point that adds another layer of pressure, beyond the direct interview itself. Some sources suggest that candidates are not always adept at maintaining a positive facade throughout the entire process, especially when faced with unexpected situations or stress.

The company's approach, which includes examining interactions with drivers, positions itself as a method to uncover character traits that might not surface in a structured interview. This mirrors other "unorthodox" hiring tactics employed by some chief executives who look beyond standard qualifications for signals of a candidate's disposition.

Frequently Asked Questions

Q: What is Duolingo's 'taxi test' for hiring?
Duolingo's CEO, Luis von Ahn, revealed they check how job candidates treat their taxi drivers from the airport to the office. This is part of their hiring process.
Q: Why does Duolingo use the 'taxi test'?
The company believes that how a candidate treats a driver shows their true character. CEO von Ahn thinks if someone is mean to a driver, they might be mean to their own staff.
Q: Has the 'taxi test' affected job offers?
Yes, at least one qualified candidate was not offered a senior job because they were seen as 'mean' to the taxi driver. Duolingo wants to hire people who are not only skilled but also kind.
Q: Are there concerns about Duolingo's 'taxi test'?
Some people worry if this hiring method is fair. Candidates might not know they are being judged on these interactions, which could lead to unfair decisions.