Don’t Be a Dummy: Prototypes Aren’t Just Crash Tests 🚗💥 Too many teams treat prototyping like a crash test: strap in a dummy, slam it into the wall, and proudly declare, “Look — it didn’t break!” But just because something survives impact doesn’t mean it’s fit for purpose. A proper prototype isn’t about proving the system won’t fall apart. It’s about proving you’ve actually built what you intended — and whether customers can understand it, use it, and (ideally) love it. Because here’s the reality: robustness in a controlled test is meaningless if real people in the real world look at it and go, “Err… what am I meant to do with this?” That’s why it’s crucial to: 🧩 Prototype early — it’s cheaper to fix when it’s still small 🧩 Involve everyone — not just tech, but ops, marketing, and customer insight 🧩 Put it in real hands — customers will spot what’s “obviously not right” long before a stress test does The difference between “it works” and “it works for customers” is everything. A prototype that survives a crash test but confuses the user? That’s not success — that’s wasted time. 👉 This is exactly what we teach in the one-day Beyond Delivery Toolkit — how to test beyond the tech, involve customers early, and make sure what you’re building really fits the job. 👉 Book a course or get in touch to see how the Toolkit can help your team succeed: kim.lindsay@strategymadesimple.co.uk #StrategyMadeSimple #Toolkit #BeyondDelivery #Prototyping #CustomerExperience
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Remember when everyone agreed "ideas are worthless without execution"? We're about to learn the same painful lesson with prototypes. A working prototype without strategy is just a prettier idea. No go-to-market plan. No customer understanding. No distribution thinking. Just a thing that looks real but isn't. The dangerous part is that live prototypes create fake momentum. They feel tangible. They demo well in meetings. Everyone gets excited. Meanwhile, you're not actually any closer to building a business. I'm already seeing this with folks in my network: ↳ Beautiful AI-generated apps that no one uses ↳ Perfect prototypes solving problems no one has ↳ Weeks spent polishing demos instead of talking to customers My prediction is that in 6-12 months, we'll see a wave of "why did our prototype fail to convert" post-mortems. We're skipping the unglamorous work that makes prototypes valuable. The customer conversations that reveal what actually needs building. The domain expertise that spots real problems. The market understanding that separates nice-to-haves from must-haves.
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The concept of MVPs has CHANGED. If you don't understand this, you are living in the dead past. The old "prototype MVP" is dead. AI and a faster GTM shortened patience windows. Buyers scroll past demos and jump to what they can actually use. That changes everything. A rough prototype used to get attention. Not anymore. Now, unless you’re building something truly novel, buyers expect something close to production. Which raises the stakes on ideation and PMF. Because production launches are expensive. A PMF miss can be painfully costly. So stop validating with wishful thinking. Validate with customer signals that mean money or commitment. Three signals that actually move the needle: 1. Generating ICP leads through a landing page before building 2. Interviews that end with a clear yes or pre-commitment. 3. Pre-sales / paid pilots that put money on the table. Think of an MVP like a restaurant soft opening. If guests pay and come back, your menu works. If it’s just friends and compliments, you’re guessing. Note: not every idea needs a billion-dollar build. But every launch needs proof that customers will buy what you ship. PMs need to shift their checklist from “features shipped” to “signals captured.” Founders should strive to get early money and clear yeses over polite feedback. Which validation are you running right now?
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Our clients stopped asking for roadmaps. Now they ask: "Can I see it working?" The old way: 6 weeks of planning docs and specs no one reads. The new way: Working prototype in days that clients can actually click through. The shift: AI removed the barriers. Concepts that took weeks now takes hours. But the real change? Client expectations. They don't want to imagine the product anymore - they want to use it. Your clients are going to expect this speed. Are you ready to deliver it? #PrototypeFirst #AITools #ProductDevelopment #ClientWork #DigitalProducts #TechInnovation #BuildFast #ThisIsStoked
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𝐆𝐫𝐞𝐚𝐭 𝐜𝐨𝐝𝐞 𝐚𝐥𝐨𝐧𝐞 𝐝𝐨𝐞𝐬𝐧’𝐭 𝐦𝐚𝐤𝐞 𝐚 𝐠𝐫𝐞𝐚𝐭 𝐩𝐫𝐨𝐝𝐮𝐜𝐭. I’ve seen products with flawless engineering fail… and others with simple code win big. The difference? The mindset behind the build. Here’s what I’ve learned really drives impact: • Choose tech that grows with you and keeps updates smooth • Work with people who care about why they’re building, not just what • Make customer success a team sport - spot and fix issues early • Let AI handle the repetitive so you can focus on the meaningful • Start small with an MVP, learn fast, and keep iterating • Have clear goals, but stay flexible when new insights come in In the end, success isn’t about the number of features shipped – it’s about how much value your customers gain. What’s one change you’ve made recently that truly helped your users? #ProductManagement #CustomerSuccess #SaaSGrowth #TechLeadership #AIForBusiness
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JUST BECAUSE IT ADDS UP DOESN’T MEAN IT WORKS FOR CUSTOMERS. A PS3 + a PS2 = a PS5, right? Well… not exactly. 😂 But this kind of thinking happens all the time in product development. 📌 Companies stack features instead of solving real problems. 📌 Teams assume more = better, without validating if it actually helps customers. 📌 Products become overcomplicated—meeting internal logic but failing real-world needs. True customer understanding isn’t about math; it’s about insights: 💡 What do customers really need? 💡 What drives them to switch to a new solution? 💡 Are you solving their problem or just adding things together? I hope that made you smile a bit. I wish you a wonderful weekend. _ _ _ 👋 Hi, I’m Florian! 💡 I help innovation teams reduce risks in early-stage product development and turn chaos into clarity. 🌍 Passionate about #CustomerCentricity & #CircularEconomy as drivers for #Innovation. 📌 Want frameworks & tools to make better product decisions? 🗂 Get free access to my Library for Innovation & Circular Economy – full of templates, guides & checklists. 🔗 Find it in my Featured Section. 📬 Let’s connect! I’d love to hear your take. 🖼️ Video: All rights and credits belong to the respective owner(s).
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Introducing Alloy – the world's first tool for prototypes that look exactly like your product. All year, PMs and designers have struggled with off-brand prototypes – built with “app builder” tools that look nothing like their existing app. They’re left with confused stakeholders, prototypes they can’t show customers, and demos where they’re apologizing for the design. Alloy is AI Prototyping built for Product Management: ➤ Capture your product from the browser in one click ➤ Chat to build your feature ideas in minutes ➤ Share a link with teammates and customers ➤ 30+ integrations for PM teams: Linear, Notion, Jira Product Discovery, and more In lab results, Alloy delivers 3-5x more detail than alternatives when starting from an existing product. It’s powered by groundbreaking technology you won’t find in any other tool. Alloy is now available for you to try for free. Comment “ALLOY” for instant access and extra credits.
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The 3-Week Product Validation Blueprint That Saves 6 Months Stop building for 6+ months before getting user feedback. Validate in 3 weeks instead. Week 1: Problem Validation • Interview 15 target users about their current pain points • Identify the #1 problem worth solving • Confirm they’re actively seeking solutions Week 2: Solution Testing • Create simple mockups/prototypes of your solution • Test with 10 potential users • Measure enthusiasm, not just politeness Week 3: Market Validation • Present pricing and get real commitment • Collect pre-orders or letters of intent • Validate business model viability The difference: ❌ Traditional approach: 6 months building + market rejection ✅ Smart approach: 3 weeks learning + confident building What you’ll know after 3 weeks: ✅ If the problem is real and urgent ✅ If your solution actually solves it ✅ If people will pay your target price ✅ Exactly what to build first Build smart, not long. Ready to validate your idea in 3 weeks instead of 6 months? Send a DM or contact us at thirty3technologies@gmail.com #ProductValidation #StartupStrategy #MarketResearch #ProductDevelopment #thirty3tech
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Test the MVP and Gather Learnings 🧪MVP doesn’t mean 'minimum crappy product.' It means 'maximum learning per dollar.' You launched something small. Now, don’t just measure vanity metrics, learn why people do or don’t act. 🎯 Step 5: Test your MVP and talk to every user. Ask: ✅ What made you try it? ✅ What almost stopped you? ✅ What would make it better? 👣 Action you can take today: Set up 5 short customer calls (15 minutes max) with anyone who used your MVP. Ask about their experience, not what they think of your idea. 💬What’s one unexpected insight you got from MVP testing? Share it below, you’ll help someone else. #UserFeedback #StartupMVP #CustomerInsights #AlloyGrowthLab #AGL Curtis H. Antony Seppi Patrick Longo Trisha Sefakis Jane Martin Leah Wyman
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In 2025, most MVPs still don’t get validated. They get built in a rush. They get released. Then ignored. Then buried in a digital graveyard. And the product team is left wondering, what they should build next? The truth is … Release ≠ Validation. An MVP isn’t about shipping fast. It’s about learning fast. It isn’t about building a “minimal” version of your full product idea. It’s about running the smallest test that gives you evidence you can trust … - Evidence that the pain you’re solving is real. - Evidence that customers are willing to pay for it. - Evidence that your product is the right way to solve it. That means: - Defining the problem first. - Setting clear success criteria. - Testing demand before you build. - Measuring behavior, not just opinions. We shouldn’t have unused MVPs in the graveyards. Build → Release → Hope → Graveyard They should be evidence of what you’ve learned and where to go next. Test → Measure → Learn → Evolve When you treat MVPs as experiments instead of product milestones, you avoid burning months of effort on features that don’t matter and you build momentum on the signals that do. When you think MVP, do you picture a smaller product or a faster experiment?
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Make Your MVPs Experiments, Not Just Mini‑Products Most MVPs aren’t validated. They ship fast, then fade into the graveyard. At ISHIR, we help product teams define the real pain, test demand early, set success criteria, and measure behavior not just opinions. Because in 2025, learning fast beats launching fast. https://lnkd.in/gGjxANxR #MVP #Experimentation #InnovationAcceleration #ProductStrategy #ISHIR
CEO - 🚀Accelerate Innovation, Digital & AI Data Strategy | Find PMF | Scale Product Teams | CIO CTO CMO CINO CDO CIDO YC Founder Startup Advisor | LinkedIn Top Voice Tech | Investor | Speaker | Life Coach | Stoic Leader
In 2025, most MVPs still don’t get validated. They get built in a rush. They get released. Then ignored. Then buried in a digital graveyard. And the product team is left wondering, what they should build next? The truth is … Release ≠ Validation. An MVP isn’t about shipping fast. It’s about learning fast. It isn’t about building a “minimal” version of your full product idea. It’s about running the smallest test that gives you evidence you can trust … - Evidence that the pain you’re solving is real. - Evidence that customers are willing to pay for it. - Evidence that your product is the right way to solve it. That means: - Defining the problem first. - Setting clear success criteria. - Testing demand before you build. - Measuring behavior, not just opinions. We shouldn’t have unused MVPs in the graveyards. Build → Release → Hope → Graveyard They should be evidence of what you’ve learned and where to go next. Test → Measure → Learn → Evolve When you treat MVPs as experiments instead of product milestones, you avoid burning months of effort on features that don’t matter and you build momentum on the signals that do. When you think MVP, do you picture a smaller product or a faster experiment?
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