How Can Sharing Personal Experiences Help Us Identify and Overcome Bias in Technical Interviews?

Sharing personal experiences in interviews fosters empathy, reveals hidden biases, and encourages self-reflection for both candidates and interviewers. Open storytelling surfaces systemic issues, amplifies underrepresented voices, inspires organizational change, and drives more inclusive, fair hiring practices.

Sharing personal experiences in interviews fosters empathy, reveals hidden biases, and encourages self-reflection for both candidates and interviewers. Open storytelling surfaces systemic issues, amplifies underrepresented voices, inspires organizational change, and drives more inclusive, fair hiring practices.

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Building Empathy and Understanding Across Perspectives

When candidates and interviewers share personal experiences, they open the door to understanding the diverse backgrounds and challenges others face. This creates empathy, making it easier to recognize subtle biases, such as those related to educational background, accents, or problem-solving approaches, that may otherwise go unnoticed in technical interviews.

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Revealing Hidden Biases Through Stories

Personal stories bring to light instances where bias may have played a role in previous technical interviews. By listening to these accounts, companies and individuals can pinpoint recurring patterns—such as favoring candidates from certain universities or expecting specific cultural norms—that perpetuate bias.

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Encouraging Honest Self-Reflection

Sharing experiences prompts both interviewers and candidates to reflect on their own attitudes and assumptions. This introspection helps interviewers recognize if they are consistently judging candidates more harshly based on irrelevant factors and provides an opportunity to correct these behaviors.

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Fostering Inclusive Interview Practices

When personal experiences highlighting unfair treatment or one-size-fits-all interview formats are shared, organizations can use this feedback to adapt their interview process. For example, they might introduce structured interviews or diverse question banks that cater to various problem-solving styles.

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Creating Safe Spaces for Feedback

Encouraging the open sharing of experiences creates a culture in which individuals feel safe to discuss their concerns and observations about bias. This, in turn, allows for ongoing feedback and continuous improvement in the technical interview process.

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Challenging Stereotypes and Assumptions

Personal experiences often highlight how stereotypes—like “good programmers look or act a certain way”—affect outcomes. When these prejudices are openly discussed, teams become more aware of their own biases and work proactively to counteract them.

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Surfacing Systemic Issues Beyond Individual Bias

Individual stories can highlight broader, systemic issues such as consistently misaligned interview expectations, inaccessible formats for neurodivergent individuals, or pressure to conform to certain communication styles. Recognizing these patterns is key to making structural changes.

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Amplifying Underrepresented Voices

By sharing their stories, candidates from underrepresented groups—such as women, people with disabilities, or non-native speakers—draw attention to specific barriers they face. This helps organizations recognize that 'neutral' technical criteria can still disadvantage certain individuals.

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Inspiring Concrete Changes within Organizations

Stories about encountering or overcoming bias often inspire actionable change. Hearing how a candidate’s ideas were dismissed, or how an interviewer's subtle bias influenced ratings, can motivate companies to adopt objective scoring rubrics or provide bias training for interviewers.

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Demonstrating Positive Outcomes from Inclusive Practices

Personal success stories where candidates overcame bias due to fairer, more inclusive interview methods serve as powerful motivation for adopting such practices elsewhere. These narratives show that addressing bias isn’t just the right thing to do, but also leads to better hiring outcomes.

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What else to take into account

This section is for sharing any additional examples, stories, or insights that do not fit into previous sections. Is there anything else you'd like to add?

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