Introducing AI-powered College Recommendation Dashboard

🚀 𝗔𝗻𝗮𝗹𝘆𝘇𝗶𝗻𝗴 𝗚𝗼𝗼𝗴𝗹𝗲 𝗚𝗲𝗺𝗶𝗻𝗶 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗨𝗫 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲𝘀 – Learn in Public (3/5) As part of my Product Management Fellowship with NextLeap, I analyzed Google Gemini to understand how well it aligns with 𝗝𝗮𝗸𝗼𝗯 𝗡𝗶𝗲𝗹𝘀𝗲𝗻’𝘀 𝗨𝘀𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗛𝗲𝘂𝗿𝗶𝘀𝘁𝗶𝗰𝘀 and 𝗸𝗲𝘆 𝗟𝗮𝘄𝘀 𝗼𝗳 𝗨𝗫 (from lawsofux.com). 🎯 𝗢𝗯𝗷𝗲𝗰𝘁𝗶𝘃𝗲: Identify which UX principles Gemini implements effectively — and where 𝘁𝗵𝗲𝗿𝗲’𝘀 room for improvement — to better understand what makes an AI product intuitive, trustworthy, and engaging. 📊 𝗞𝗲𝘆 𝗙𝗶𝗻𝗱𝗶𝗻𝗴𝘀: ✅ Aesthetic–Usability Effect → Clean layout, balanced whitespace, and calm colors enhance perceived ease of use. ✅ Hick’s Law → Minimal options streamline decision-making and reduce cognitive overload. ✅ Jakob’s Law → Familiar chat-style interface mirrors user expectations from similar AI tools. ⚠️ Peak–End Rule → Chat sessions lack emotional closure, reducing memorability. 💡 𝗜𝗻𝘀𝗶𝗴𝗵𝘁: Gemini’s design excels at 𝘀𝗶𝗺𝗽𝗹𝗶𝗰𝗶𝘁𝘆 𝗮𝗻𝗱 𝘀𝗽𝗲𝗲𝗱, but could elevate emotional engagement to make experiences more memorable and human. ✨ 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆: Blending heuristic evaluation with psychological UX laws gives deeper insight into how design decisions shape user trust and satisfaction — especially in AI-driven interfaces. Would love your thoughts! 💬 #UXDesign #ProductManagement #LawsofUX #JakobNielsen #AIUX #DesignThinking #GoogleGemini #NextLeapFellowship #LearnInPublic #UserExperience

🎯 When rubrics live in PDFs, but graders work in sliders — chaos follows. That’s the hidden UX debt behind most evaluation tools. The result? Inconsistent scoring, endless rechecks, and parent escalations that could’ve been avoided. At CrazyGoldFish, we rebuilt the evaluation interface from the ground up — treating the marking scheme as data, not decoration. Our alignment engine connects: ✅ Rubric criteria → UI chips → AI rationale → Audit trail The outcome? 95% rubric consistency Fewer disputes Transparent, explainable scoring teachers trust. Grading isn’t just a backend probleml, it’s a design problem. And clarity, not complexity, wins trust. 👉 Read the full post: https://lnkd.in/g-yfTagf #CrazyGoldFish #UXDesign #AIinEducation #AssessmentReform #HumanInTheLoop #CBSE #EdTech #ProductDesign #EvaluationUX

'Vide Coding' is one of the most coined terms this year. It’s funny how all my life people told me my life would’ve been different if I did engineering — like, who doesn’t know engineering in India, right?! Every time I showed up at a family function, there was always someone ready with a jab about this. But hey what did I really miss? Turns out, coding isn’t just for coders anymore. Even non-coders can write code — and if you hear someone say they write better code than others, just laugh because AI’s writing code now! (I know this is oversimplistic but isn't that where we are headed?) Not good at English emails? Well, AI’s can do a better job. You have the technical skills but can't write fancy presentations? Now there are Tools like Copilot and Gamma that can give wings to your ideas. So, all those words/points may not matter much? The real deal with using AI to get where you want to be? It’s all about understanding the numbers, making sense of the insights AI spits out, and figuring out what they actually mean. AI can crunch the data and spot patterns way faster than we can, but the game-changer is how you analyze those insights, use your business acumen and turn them into smart moves that help you reach your goals. AI is the great leveler. It’s just flattening the playing field. So, don't hold back. Keep Vibing!!

🚀 𝙇𝙞𝙣𝙚 𝙤𝙛 𝘽𝙚𝙨𝙩 𝙁𝙞𝙩 📈 💡 Learning how math meets meaning. I just wrapped up my Sophia Learning unit on regression lines — and wow 🤯 the parallels to UX are spot on! ✨ 𝙆𝙚𝙮 𝙏𝙖𝙠𝙚𝙖𝙬𝙖𝙮𝙨: 💭 A best-fit line = like mapping user behavior trends — find the balance, not perfection. 🧩 Residuals = feedback loops — every “off” point helps improve the next version. ⚖️ Least-squares method = fixing friction — small misalignments multiply impact. 🔍 Multiple regression = real-life UX — many factors shape one experience. 📊 Every dataset tells a story, just like every user journey. The more I study data, the more I see design is just another form of prediction. 🎨💻 #UXDesign #DataVisualization #LearningJourney #ProductDesign #SophiaLearning #HumanCenteredDesign #DesignThinking #RegressionLine #BestFit #UXMindset

🚀 AI-UX Week 2025 – where AI meets Human-Centered Design Today we kicked off AI-UX Week in the M.Sc. Usability Engineering program at Rhine-Waal University. Eight teams work on the same design challenge, each exploring different approaches and AI supported toolchains. They choose freely from a range of conventional and AI-driven tools to carry out key activities of the Human-Centered Design (HCD) process – from context analysis to evaluation. Our goal: to understand - how teams expect AI tools to support their work, - how those expectations change through practice, - and what this reveals about the future interplay of humans and AI in design. The project runs as an empirical study – results will be systematically analyzed and published. Excited to see what we’ll learn this week about how AI and humans can design better together. Thanks to Hoang Nguyet being a volunteer to support in the UXD-Course this semester and Emir Rustamov for spending his free time on the back-end development for the data-acquisition. #AI4UX #HumanCenteredDesign #UXResearch #UsabilityEngineering #HSRW

I came across a very useful resource that provides a practical, step-by-step guide to integrating AI into different processes, spanning from research to prototyping. This approach goes beyond theory; it's proven and reliable. Its impact on enhancing efficiency in problem-solving, brainstorming, and time management is significant. Investing just 20 minutes of your week in this can be truly rewarding. "Enjoy and become a PRO!" 💎 😁 #UXTrends #AIforUX #DesignWorkflow #DesignThinking Watch more here: https://lnkd.in/gaPFbkgD

This year I’ll be speaking at Quant UX Con 2025! My talk, “What 200 A/B Tests Couldn’t Do,” explores how choice-based conjoint (CBC) with Hierarchical Bayes modeling (HB) can help teams assess product risk before shipping costly code. Drawing on one of my favorite case studies from Indeed, I’ll show how modeling customer tradeoffs revealed when product changes risked under-delivering on value and how those insights can strengthen machine learning models, guide more focused experiments, and protect customer outcomes before costly mistakes reach production. Looking forward to the conversations this sparks on how research can keep shaping smarter, more resilient decisions. #QuantUXCon #UXResearch #ConjointAnalysis #HierarchicalBayes #Experimentation #MachineLearning

This past week at HackOHI/O, my team built Neux, an AI-powered concept visualizer designed to kill passive learning and redefine how students approach complex subjects. We started with a fundamental problem: It's impossible to master a topic if you can't see the relationships between ideas. We realized true understanding comes from seeing the whole ecosystem of knowledge—the prerequisites, related fields, and advanced topics—not just isolated facts. Neux solves this by instantly generating interactive, color-coded Knowledge Graphs (think skill trees) for any subject. Students can navigate from a broad topic like "Calculus" down to specific concepts like "Derivatives," where they find dynamically generated, deep content explanations, practice problems, and additional resources. Our goal was to create a single source of truth for structured, engaging learning. Try Neux out at https://lnkd.in/gFZFE25h Huge shoutout to Joshua Joe, Pratyush Pandey, and Aneesh Surapaneni for grinding out a clean, functional product that changes how we interact with knowledge. I'm proud of what we achieved and look forward to the potential this project holds.

The code is coming along nicely. Phase 1 is almost locked. The AI Coach is taking shape—and it's going to be something special. What we've built so far: ✅ 3-column responsive layout (desktop & mobile optimized) ✅ Session history tracking ✅ Real-time calculation context ✅ Typing animations for Coach responses ✅ PDF export functionality ✅ Dark mode support ✅ Feedback system (thumbs up/down ratings) ✅ Auto-save functionality The core UX is solid. Users now have context-aware prompts, visible calculation data, and full session management. The AI Coach feels professional and user-friendly. Still ahead: • Mobile optimization polish • Dark mode audit • Edge case testing • Performance tuning This is what happens when you focus on the fundamentals first. Clean architecture. Thoughtful UX. Real functionality. The details matter. The polish matters. And we're not cutting corners. Stay tuned. 🚀 craftureco.com | https://lnkd.in/eseDvJxK #CRAFTURE #CraftshareAI #Development #BuildInPublic #UX #FullStack #Innovation #TechFounder #AICoach

This micro-course will help founders move past doubts and comfortably conduct their own preliminary user research at the speed they need, increasing their chances of success. Completely free for impact-driven ventures. #sustainableventures #sustainablestartups #wellbeing #startups #health #gerantology #sustainableliving #mentalhealth https://lnkd.in/dgnP56zE https://lnkd.in/d8AXda5V