Geetanjali Barthwal UX

  Which factor of the user experience weighs most heavily while buying a product? What matters more to you owning a Lamborghini or a Fiat? Lamborghini is a superluxury brand car. In India's context, it has record breaking sales in 2023 selling 100 units which is less but for a brand in high end segment, its notable achievement. Lamborghini is famous for several key reasons: Exquisite Design:   known for its bold, aggressive, and futuristic design language. High Performance:   synonymous with speed and performance. Exclusivity and Luxury :  known for their exclusivity. They are expensive, and production numbers are limited, which adds to the brand’s allure. Status Symbol: Owning a Lamborghini is a status symbol for the wealthy, as it represents not just a vehicle but a lifestyle of luxury and exclusivity. Its association with wealth and success makes it a popular brand among celebrities and influencers, further boosting its image. While Fiat was once a notable brand ...

AI generated image & further edited for a metaphorical display of showing different growth stages of UX maturity at any Organization Imagine this—you’ve just joined a new company, A, after weeks of salary negotiation, leaving behind your last organization for your own reasons. You're excited to bring your UX expertise to the table. But as the weeks pass, you start noticing the gaps. Research is skipped, design decisions are overturned without discussion, and usability takes a backseat to tight deadlines. Sound familiar? Whether you're a seasoned UX professional or a fresher, you’ve likely evaluated a company’s UX maturity—either through firsthand experience or by hearing stories from colleagues, which you might have understood only after you join the company.  Above is the classic case of BAD UX Organization. Many times in my professional carrier I also have been head of stories and UX culture in organization where  UX has never been given any importance. Although I am for...

https://strategiesforinfluence.com/crossing-the-chasm-geoffrey-moore/ About the author: Geoffrey Moore Geoffrey Moore's website   https://geoffreyamoore.com/ "Pragmatists are more interested in the Market's response to a product than in the product itself." - by Geoffrey Moore The company may be saying "state of the art" when the pragmatist wants to hear "industry standard." "Technology from a prior era, Once the focal point of innovation, now become the scaffolding upon which next-generation innovation will build." Strata 2014: Geoffrey Moore, "Crossing the Chasm: What's New, What's Not" https://youtu.be/Zwh8ThUqeC8?si=6jGR4z5NhuUe5VBs How to Cross the Chasm: An Interview with Geoffrey Moore https://youtu.be/4RFBdcJRdbA?si=bv08RAOQkGE8jHmO How to Scale a Startup | बिज़नेस कैसे बढ़ाएं |Crossing the Chasm Book summary https://youtu.be/r-wz_Szpr7U?si=ozy5Bg2wAqfBzEwJ Crossing the Chasm Summary Review | Geoffrey Moore | Free ...

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  The above images are ChatGPT AI generated for exploration on the "Crossing the chasm" book concepts. My intention of doing so is to document, explore and learning Ai image bot. During my UX learning on Adoption and Appropriation from Interaction-Design.org , I gained a fresh perspective on users—particularly through the concepts of useful (usability), usable, and used . These principles form the foundation for understanding how products succeed from both a marketing perspective and in terms of ROI , based on actual user adoption. The concept of "Adoption" highlights that when users find a product useful, they naturally integrates into their workflow, leading to higher usability. However, an adopted product doesn’t have a uniform user base—it segments into different adopter categories. This is where Geoffrey Moore’s book, Crossing the Chasm , explains the adoption lifecycle, categorizing users into: Innovators Early Adopters Early Majority Late Majority Laggar...

I have tried Adobe Express & Canvas both . Some works that I produced during exploring both of them.

  AI has transformed how we predict and act, influencing industries and daily life. Focused on prediction rather than replicating human intelligence, AI drives tools from personalized shopping to self-driving cars. As data grows in complexity, machine learning and deep learning have revolutionized prediction, offering unprecedented accuracy. While human judgment shines in nuanced insights, algorithms excel at handling vast data and intricate patterns. Together, AI and human intuition shape decisions in fields like healthcare and finance, balancing benefits with inevitable trade-offs. AI powers tools like personalized shopping  and self-driving cars, predicting our needs with remarkable speed and accuracy. The core of AI lies in prediction, not replicating human intelligence. AI-driven predictions shape business decisions, impact economies, and influence our futures. Every AI advancement comes with trade-offs; managing these is key for individuals and corporations alike. Predic...

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