My backlog: Google Search: 1. Crawl, index and rank audio content of the web and add it next to Images and Videos in Google Search e.g. "All Images Videos Audio Maps Books More" so I can find and discover audio on Google.
2. Add tags in Google Search just like you added tags when searching in Google Images so I can find websites in specific category or in similar category or that I can find similar type of web content.
3. Just like GitHub has percentage of languages of source code within source code's project page e.g. C++ 90% C 10% add content type percentage next to each web page or website result in Search Results e.g. www.mybiologyblog.com Text 70% Images 20% Videos 10% Audio 0%
YouTube: 1. Standardize both web version and mobile version; in web version on channel's page I can search channel for videos on mobile I can not.
2. Add search option/bar in comment section of videos so I can search for information that is relevant and useful to me.
3. Add search option/bar to playlists so I can search for videos within my playlists.
4. Add Google Lens type search solution to YouTube so I can search "within" YouTube videos frame by frame; e.g. let's say I watch Wild Animals documentary and I want to skip to lions part, machine learning(AI) can analyse frame by frame and point me to that part of the video(Google has similar solution but only for creators called "Chapters"). And use speech recognition so I have transcript and timestamps for YouTube videos or in anther words try to transcribe and timestamp audio of YouTube videos. Frame by frame and transcription solution are complementary.
I have other ideas for YouTube and Google Search in particular but this is my short list. For Google Search my focus is linguistic analysis of websites and analyzing websites' content(text, images, videos, audio, links etc.) I would not try to guess what users want like Google does but I would like to mine and analyze the web and then present it in Search Results for users to discover. Users will find good search results if your analysis and presentation of websites and their specifics/qualities is good in Search Results page.
Also Google Chrome has some web search and web navigation problems that I would like to solve but that I can explain next time.
Internally Google has become a "rest and vest" culture. Smart people ship one or two meaningful things per year, and because Google is swimming in cash they don't understand that they are ridiculously slow and inefficient.
Google serves for ad buyers, they are the clients. Users are just a cattle being sold.
And it has been like this from the moment google started being a business.
bad search results = more clicks on ads
Also it seems culturally very hard to be able to actually talk to their product engineers about their product - and it's not because of the sales teams are coming in the middle but because the sales teams themselves seem to struggle to get time from the product engineering teams. I've had multiple instances of sales teams suggesting that the best way forward was to talk with the product engineers, then struggling to setup time with them.
I worked at Google 2013-2018. The single root cause for Google and other tech companies letting quality degrade or failing to make good products is mis-aligned incentives. The company's leaders do not incentivize workers to prioritize user experience. The good news is that execution failures create opportunities for new companies to build innovative products.
In other words, no one really knows. If you don't like Google, I recommend just using something else.