Salvation Nation @ASLVE

@Lovable Do you support wallet option for UK market ?

@tankots @WisprFlow Wispr flow

@businessbarista Ai

@growing_daniel @nikitabier @elonmusk please note 🤣

@ParikPatelCFA Beware , you will be marked . But I guess ,you already are 🤣

@Thinkwert All 3 are tools for my ear itch 🤣

@ViCustomerCare please can you help. My mother’s in UK but her international roaming is not activated . She is not able to receive any sms on her number . How can we activate it ?

@Saurabh_Netra20 Stop setting unreasonable expectations for Indian parents 😬

@TrungTPhan Such kids have messed it up for us in India . Parents think this is how all kids should be 😬

@MarioNawfal Has she not met Seema Aunty ? @netflix

@dieworkwear Love your passion and analysis for everything fashion . If I want to start a premium jeans brand( madetoorder) in London ( manufactured in India ) what will you recommend ?Will you provide some guidance ?

In 2010, YouTube had 800M active users + streamed 2B+ videos daily. But internally, we were flying by the seat of our pants. One burning question was on our minds: How were people actually using YouTube? Here's the story of how one UX researcher ignited sweeping changes to how the company approached building the product: — I joined YouTube in 2009 and still recall my first planning meeting with the search team. We sat around a table and the PM asked: “So what do you all think would be cool to build?” In asking a few questions of my own, I realized the team had been building without understanding how people experienced the product. We lacked the information to make informed choices about what to prioritize across YouTube. And so we started to grow the research team. — In 2010, we convinced @kerryrodden (they/them), Google’s first Quantitative UX Researcher, to join YouTube. To get oriented, Kerry started asking PMs, Designers, Engineers, Execs, and other UX Researchers what their most pressing questions were. One question came up again and again: How were people actually using YouTube? Kerry combed through existing qualitative research, and honed in on understanding how people navigated through the site. To do this, Kerry jumped into YouTube’s user logs and was delighted to discover that YouTube’s data showed a user’s entire session — revealing a user’s navigation across all the pages they visited. (Note: User sessions were completely anonymized, so no session data was attached to an identifiable person. Also, usage data was separated from video content, so we analyzed only page types e.g., watch page or search results page, but not the actual videos or search queries.) To simplify the data, Kerry categorized all the pages of YouTube into five page types: Home, Search, Watch, Channel, and Other (account, settings, etc.). Kerry counted usage for each page type and then likelihood of the next page to visit. e.g. If someone was on the home page, what percentage of the time did they search vs watch a video? When sharing these eye-opening findings with PMs, Designers, and Engineers, Kerry was met with a barrage of additional questions: - Where were people most likely to start? - Where did they go? - What did a typical session look like? - How/when/where did sessions end? These questions led Kerry to analyze whole sessions. So they calculated where people started, and from each page, where they were most likely to go next. — Kerry had overcome the first challenge of making sense of the data. But their goal was not only to understand how people navigated YouTube, it was also to show the data in a way that everyone inside of YouTube could easily understand. After exploring several formats, Kerry landed on a radial sunburst format to visualize the data. In this view, it was easy to see the relative % of sessions that started with each page type and it was also easy to follow a user’s path across an entire session. Kerry built an interactive version that allowed us to hover and trace any path from start to end, with the percentage of sessions that followed that exact path. The image below is static, but shows the breakdown of paths people took through YouTube. (Starting from the inside and working your way to the outermost ring) — Kerry’s visualization went viral inside YouTube. It was turned into posters and hung up on the walls, printed onto t-shirts, and referenced in exec strategy decks and new hire orientation. The mystery of how people used YouTube had been unlocked. — We had all assumed YouTube’s homepage was important. The homepage had 45M+ visits per day and companies were doing home page buyout ads for huge sums of money. But Kerry’s research revealed less than half of sessions started on the homepage and people mostly came to the home page to search. The homepage showed a bunch of videos that were driven by a mass algorithm (and was pretty much the same experience whether a person was logged in or not). We were missing the opportunity to show 45M people the content they wanted to watch each day. Kerry’s visualization was an inflection point in YouTube’s history. Their findings created lasting ripple effects that elevated how well we understood users’ experiences, how we approached building products, and how so many subsequent video-first companies shaped their products. Ultimately, the team invested in building personalized recommendations, which helped transform the homepage from a search portal into a destination for finding content to watch. This transition was especially pivotal later, when everyone shifted to mobile. Personalized recommendations set YouTube up to become the dominant mobile video app, where “homepage” discovery was foundational to its success. Today, we open the YouTube app and start watching videos without even thinking — it just works. — This story has stuck with me for the past 15 years. It is a great example of what can happen when a single person is devoted to understanding the full user experience and is willing to put in the effort to cross traditionally accepted boundaries. It is so important to have a clear picture of how people experience your product — both qualitatively and quantitatively. Understanding this fuller picture can open your eyes to gaps and unexpected behaviors as well as focusing on perfecting the parts of your product where the magic happens. — A big thanks to @kerryrodden, as well as @shivar + @mags to jog my memory of different facets of this story. For more on design insights + stories, follow me at @elizlaraki.

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@theestatechap @VishalBhargava5 My bad , I thought 16k are for palm beach . For a Ulwe that rate sounds too excessive . Crazy times .

@AliAbdaal Aren’t these signs of ADD/ADHD ? Did you take any meds ?

@theestatechap @VishalBhargava5 Delta Palm Beach ?

@ModdedQuad @X @elonmusk Need to be part of this thread . Welcome to possibilities 🔥🔥

@TrungTPhan Where did you watch it ?

@MrFourToEight Ready

@robinhoodmumbai @VishalBhargava5 @99acresIndia Seawoods is like the premium node of Navi Mumbai . You need to compare it likewise

@KHendersonCo Travel to India get it done and still cheaper by over 70%