Halo Effect

Halo Effect

We tend to let one positive trait or impression to influence our overall evaluation of a person, brand, or product. This mental shortcut leads us to make sweeping positive generalizations based on limited information, affecting our ability to make objective assessments.

This effect was first identified in the early 1900s by American psychologist Frederick Wells. However, the actual term “Halo Effect” was first coined by psychologist Edward Thorndike in 1920 while studying military officers. He noticed officers judged their soldiers’ character based on physical qualities, not their actual character. This created an “aura” or “halo” of positivity or negativity.

This effect is a perceptual error that skews our view of a person, brand, or product. It occurs when our positive impression of one aspect of something influences our perception of unrelated aspects, leading to an overly favorable or biased judgment.

Apple is a prime example of this effect in action. The company’s reputation for beautifully designed, high-quality products often leads customers to perceive all Apple products as superior, even before trying them. Yet, I’m sure everyone reading this has experienced a “magic” mouse dying on them in the middle of the day. 🫣

The opposite effect of the Halo Effect is the Horns Effect, where a negative perception of a person, brand, or product skews all other interactions toward the negative.


For software teams, the Halo Effect can significantly impact decision-making and evaluation processes. When a team member demonstrates excellence in one area, leadership might automatically assume they will perform equally well in unrelated tasks, such as management. This can lead to misallocation of resources and responsibilities.

The Halo Effect may manifest for engineering teams when a developer who writes what the rest of the team perceives as “elegant” code does not receive the same level of scrutiny during code reviews from other engineers.

We might overvalue feedback from articulate or technically skilled individuals during discovery or research, assuming their insights are more valuable. This can lead to product decisions not serving the broader user base.

The bias also affects how teams adopt new technologies. When a popular tech company releases a new framework or tool, teams may automatically assume it is superior to existing solutions simply due to its reputation in other areas. This can result in unnecessary changes to the tech stack or adopting unsuitable tools.

🎯 Here are some key takeaways:

Humans judge books by their covers

Recognize that both positive and negative impressions can influence perceptions beyond the specific context. While this bias isn't necessarily fair, understanding it ensures that our contributions are evaluated on merit rather than filtered through unnecessary negative impressions.

Implement blind reviews

Whenever possible, utilize anonymous or blind review processes for code reviews, design critiques, or brainstorming new ideas. This approach can help eliminate bias based on an individual’s reputation or past successes.

Aesthetics carry significant weight

Visually appealing designs, such as presentation decks or well-crafted emails, can influence our team's perception, leading them to view an idea more favorably. However, it's important to remember that the Aesthetic Usability Effect has its own limitations.

Manage your professional presence intentionally

Key elements of personal presentation—like being well-groomed, maintaining an organized workspace, and demonstrating attention to detail—significantly affect how our team perceives our competence and evaluates our ideas.

First impressions count

The initial interactions with team members will establish patterns that can persist throughout your working relationship. These early moments can create a professional reputation that can enhance or undermine your ability to influence and contribute effectively to the team.

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