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Design & Dev for B2B SaaS (adamfard.com) • Building an AI product for UX designers (uxpilot.ai)
Our Black Friday Deal is here: 30% discount on UX Pilot premium plans! - Monthly plan: up-to $8.7 discount or - Yearly plan: up-to $79.2 discount Valid for your first invoice only. So choose wisely! 💡 To get it, enter the following code at Stripe checkout: BFDEAL 🎉
A practical example of using AI in the UX process:
Design & Dev for B2B SaaS (adamfard.com) • Building an AI product for UX designers (uxpilot.ai)
How I actually use AI in UX Design (And why most people get it wrong) Here's the thing about AI in UX: - Most teams treat it like a magic wand - Popular AI tools weren't built for UX work - "AI experts" keep pushing unrealistic workflows But after months of real client work, we've found what actually works. Let me show you a practical example in this guide 👇 And feel free to replicate and adapt it based on your needs. Your mileage may vary based on: - Project complexity - Team expertise - Available data __ Want 30% off UX Pilot premium plans? Just comment "UX Pilot AI" below and I'll DM you a code. (Make sure we're connected!)
More and more UX and Product teams are relying on UX Pilot to speed up their UX process:
📣 It’s here—the 2023 AI in UX Research Report: https://lnkd.in/gKmGsAtK 📣 We received ✨ over 1,000 ✨ qualified responses to our survey about how researchers are using artificial intelligence in their work today. Some of our key takeaways from the report include: - ⚒️ The most-used AI tools and UXR tools with AI-powered features include Hotjar, dscout, Glassbox, Dovetail, Grain, ClientZen, Chattermill, Consensus, Otter.ai and (of course) ChatGPT. - ⏩ Efficiency is the most-cited (24.7%) benefit of AI—but researchers still have reservations. - 😓 Researchers’ biggest concern about using AI is the potential for inaccurate or incomplete analysis. - ❌ Nearly half (49%) of our audience is limiting the type of data they use with AI. Explore the data (and the new questions it’s sparked for us!) in the full report ⬇️ #artificialintelligence #userresearch #designresearch #userexperience
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For months, this idea wouldn’t leave my mind. For months, I was captivated by this problem. For months, I kept asking myself: why hasn't this sector received the attention it deserves? With my growing interest in product management, I decided to combine my skills as a writer and product enthusiast to bring this idea to life. As someone who uses public transportation daily, and knowing that 72% of Nigerians rely on it too, I couldn’t understand why this essential sector has been overlooked. After digging into Moniepoint Group's 2024 report on the informal economy and their approach to digital transactions, I still couldn’t shake the feeling that public transport drivers were being left out of the conversation. Over the years, I’ve spoken to and observed countless drivers. These men and women are just like the market traders—driving isn’t just a job for them, it’s their livelihood, a way to support their families. Through my research, I discovered a glaring gap in this informal market that we could tap into. That’s how the idea for Pay-Along came to be. While this product started as a case study and portfolio project, I genuinely believe it has the potential to make a difference. It’s more than just an idea; it’s a response to an unaddressed need. I owe credit to Moniepoint Group for their insights and the incredible work they’re doing to bridge the digital gap, and to UXpilot.ai for helping me visualize what Pay-Along could look like, even though I’m not a product designer. I’d love your thoughts! Please read, like, share, and let me know your feedback.