Men were 1.4 times as likely as women to advance to the next round on the website, and on average scored a 3 out of 5 on technical ability while women scored 2.5.

The tool modulates the candidate’s voice in real time, either to the opposite gender’s voice or to a gender-neutral voice.

Basically, the data suggests that the more people returned to the site to try again, the more their performance improved.

Lerner stresses the limitations of this experiment, including a small sample size and the limitations of using voice-swapping alone to communicate one’s gender.

The experiment’s conclusions do fall in line with other studies that examine possible reasons for the gap between women and men in tech.

Kevin Miller, senior researcher at the American Association of University Women, agrees that the confidence gap is an important factor in gender disparities within the workforce.

I do hope that we can start a conversation around the gender gap through the lens of grit rather than just the narrative that the tech industry is biased against women as a whole,” she said.