People are remarkably good at overlooking defects in products they use or build, argues Dan Luu in a new essay on “bug blindness”. The idea matters because software teams can mistake familiarity, loyalty and local success for evidence that a product is genuinely working well.
Watch Desk analysis
What happened
Luu describes bug blindness as the difficulty creators and committed users have in judging products objectively when they are closely associated with them. His examples range from search engines and car-reliability forums to course-management software and web-performance metrics.
The argument is not that every unhappy user is right, nor that every familiar product is secretly broken. It is that people close to a system often develop explanations for its failures, discount negative experiences or treat workarounds as normal. That is a distinctly computing problem when software can quietly accumulate friction while its makers see only the dashboards, successful tests or expert users who know the escape routes.
Why it matters
Bug blindness can turn ordinary defects into organisational blind spots. If experienced users have learned how to avoid a broken workflow, they may report that the product is fine while newcomers struggle with the same problem every day. A team can then optimise the workaround instead of fixing the underlying design.
The practical lesson is to seek evidence from people who are not already invested in the product, and to take repeated complaints seriously even when specialists can explain them away. Familiarity is useful for debugging, but it is a poor substitute for seeing what the system feels like to everyone else.
Our read
Luu’s essay offers a useful name for a common failure in software evaluation: confusing the ability to cope with a product for proof that the product is good. That distinction deserves more attention than another round of cheerful usage statistics.
The claim is an argument supported by examples, not a measured law of psychology. Still, it gives teams a sharp question to ask before dismissing criticism: are we defending the product, or merely defending our knowledge of its flaws?
What to watch
- New-user evidence:
whether first-time users encounter problems that experts no longer notice. - Workarounds:
which supposedly normal steps exist only because the product’s intended path fails. - Complaint patterns:
whether repeated negative feedback is being investigated or explained away. - Evaluation design:
whether testing includes people who are not already loyal to the system.
Discussion spark: When does deep product expertise become a liability: should teams trust experienced users who know every workaround, or prioritise newcomers who expose what the experts have stopped seeing?
Sources and evidence
- Bug blindness (22 September 2026, 08:48 UTC)
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