The launch of Claude Design marks a turning point in AI-driven creation. It allows us to instantly transform ideas into interactive prototypes and visual concepts. However, technology without strategy is just noise. At Growth Tribe, we believe the real power doesn't lie in the tool itself, but in the methodology behind it. An AI can generate an interface, but you must steer the user experience (UX). This is why Design Thinking remains essential: - Problem Definition: AI won't solve anything if the problem is poorly framed. - User-Centricity: Making data-driven decisions based on what the user truly needs. - Iteration: The tool accelerates the process, but the strategy sets the direction. If you want to master the mindset behind the tools and learn how to structure innovation, explore our Design Thinking Certificate here

In this live session with Carmen Philips, we break it down. 👇 - Learn where AI truly adds value in qualitative CX research. - Discover how to combine AI insights with human interpretation and judgment. - Understand how trust is formed, lost, and remembered across customer journeys. We’ll show you what actually works. And how to start. 👉 Join us April 1st: https://growthtribe.io/agenda/using-ai-to-improve-cx-management/

AI traffic is no longer “future talk.” It’s already showing up in your analytics. More people are discovering content through tools like ChatGPT, Perplexity, and Gemini instead of Google. That means your traffic mix is quietly shifting… but most teams aren’t tracking it yet. What’s changing? - AI tools are becoming a new discovery layer - Users skip traditional search journeys - Referral data is harder to spot (but it’s there) The risk:We keep optimizing for Google… while missing where attention is moving. The opportunity:Start small. Track it. Learn faster than others. Try this this week: - Check your referral sources for AI domains - Tag and monitor “AI traffic” separately in your analytics - Compare behavior: time on page, conversions, bounce rate You don’t need perfect data. You need directional insight. 👉 Read the full breakdown here: https://growthtribe.io/blog/ai-traffic-vs-google-traffic/ We’re curious. 👇 Are you already seeing traffic from AI tools? And are you measuring it properly yet?

Next week, we’ll be active at the AI Marketing Congress 2026 in Amersfoort. It’s a strong place to connect, exchange ideas, and explore real AI use cases with people who are actively applying AI in marketing, automation, content, and business. The event brings together workshops, real-life cases, and networking around topics like agent automation, GEO, AI content creation, and AI adoption in organizations. Also worth highlighting: Beeckestijn Business School is the proud main sponsor of this event. The event page positions it as a major AI marketing event in the Netherlands, with sessions focused on practical application and real business cases. So, if you’ll be there next week, let’s connect. We’d love to meet community members, talk about what AI use cases are actually working, and hear what you’re building, testing, or struggling with right now. Want to know more about the event? Visit the event page here: https://www.beeckestijn.org/over-ons-agenda/het-ai-marketing-congres-2026/ Are you joining the event on 19 of March? Drop a comment below or send us a message.

Choosing the right AI tool is getting harder every month. New models appear, capabilities change, and it’s not always clear which one to use for what. This guide by Ethan Mollick (https://www.linkedin.com/in/emollick/) breaks it down in a very practical way: which AI to use depending on the task. Key takeaway: - ChatGPT → strong all-rounder for reasoning, writing, and workflows - Claude → excellent for long documents, analysis, and thoughtful responses - Gemini → powerful when working inside Google tools - Specialized tools → often better for coding, design, or automation The real skill is not picking one AI tool. It's knowing which tool to use for which job. Start simple: 1. Pick one task you do every week (writing, analysis, research). 2. Test 2–3 different AI models on that same task. 3. Compare the results. You’ll quickly see where each model shines. Read the full guide here:https://www.oneusefulthing.org/p/a-guide-to-which-ai-to-use-in-the?r=i5f7&utm_campaign=post&utm_medium=web&triedRedirect=true