GoKawiilI used to wonder why I see so many more bugs than most people. I easily observe hundreds to thousands of bugs per week and nothing seems to work, but most people I talk to don't see anything like this. For a long time, I thought this had something to do with how I use computers but, over time, I've realized that it's mostly that people are hitting the same bugs and don't notice.
If you're not a programmer, that's probably a better way to see the world , but I think curing quality/bug blindness is helpful for programmers. I've done this with a lot of friends and acquaintances (just by pointing out bugs). After a few weeks, people who are so inclined tend to start noticing bugs as well.
Because I notice these kinds of things, I've had multiple jobs where directors/VPs/execs/etc. sometimes ask me to evaluate something when they want an actual opinion from someone who is relatively likely to notice issues (and fix them or drive fixes for them if necessary). Sometimes I won't find any issues (there are likely issues that just aren't the kind I notice). More often, I find issues that fall somewhere from "mild" to "moderate". And, sometimes, the issues are severe, to the point where one might even say the thing actually doesn't work.
I find this last category a bit mysterious, as when I look up discussions on how the thing got into this state, there's usually a stream of internal comments indicating that the thing is great, it works well, etc., but when I open up the thing and try it, it's in a state where the thing only works if you do quite a few non-intuitive workarounds. More likely than not, not only would a normal user not be able to use the thing, they'd have such a hilariously/infuriatingly bad experience that they'd tell their friends.
I've had this post in mind for maybe a decade or so, but I was hesitant to write it up because, in the back of my mind, I always wondered if I'm somehow triggering weird corner case behavior most users don't hit without realizing it. But after seeing more and more cases where the product launches and falls flat on its face because users run into the exact same issues I saw, I don't think that, in general, I'm hitting bugs because I'm doing unusual things a normal user wouldn't do. If a product seems severely flawed when I use it, it probably is. And with the magic of LLMs, nowadays, I can even have LLMs act like normal users in a lot of ways and show that the issues reproduce across many different scenarios.
A few examples
I don't want to give any specific examples where it was my job to see how well the thing worked because, even if the internal examples are meant in a constructive, blameless, way, they may not always read that way when re-posted externally, so I'll give a few less interesting and less well supported "random" examples.
A while ago, I wrote up the results of some web search queries and found poor results from Google, Bing and Kagi. In general, the major search engines failed to return good results for the queries and returned pages full of low-quality SEO spam as well as some sites that were actually scams. BTW, on the scale mentioned above, I would consider this "moderate" and not "severe" ( severe would be something like, the search engine returns 500 errors half the time, the majority of results are scams, etc; my bar for severe is that a normal user likely won't be able to use the thing at all, not that they have a bad experience ). Almost nobody objected to my characterization of Google and Bing search results, but people told me that I was wrong about Kagi. In some cases, people sent me their actual search results. In every such case, the search results did not contain a good result that I could see (e.g., for the seasonal forecast query, the search failed to return an up-to-date seasonal forecast) and was full of SEO spam. In one case, a person passed me both their list of Kagi filters as well as the search results they got without making claims that the results were good or bad, but people generally insisted the results were good even though the results both failed to link to a useful result and were full of spam except in cases where the user did something like pin GitHub to the top of their results, which worked for the queries where the goal was to download software that's hosted on GitHub, but of course completely fails for the other queries from the post.
In the abstract, I get that people who are fans of things tend to be blind to the thing's faults. For example, since I bought a Volvo after seeing how they do in out-of-sample crash tests, I sometimes search for answers to my questions on Volvo car forums. For well over a decade, the reliability data that exists (and I think this is backed up by the anecdotal experience that mechanics who work on Volvos have) is that Volvo reliability is mediocre to poor, but of course Volvo forums are full of people who insist that Volvos are among the most reliable cars and that the data are all wrong.
An example that might be more central to the topic is Blackboard (the course management software). Back when it was the most widely used software by universities for coursework, the software was widely disliked by both students and professors. I think it would be fair to say that it was the most widely disliked software in my social circles (there was more strongly disliked software, like Visual Source Safe, but any more strongly disliked software wasn't widely used enough to be the most widely disliked overall). The Wikipedia page notes
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