Prototype Testing and Iteration

Prototyping is how ideas turn into evidence. It surface hidden assumptions, generate better stakeholder conversations, test specific hypotheses, reveal unforeseen interactions, and give you a concrete artifact to evaluate before code or tooling locks you in. Use low fidelity sketches and storyboards when you need speed and divergent thinking. They help teams externalize ideas, reason about user goals, and map flows before pixels appear. They are deliberately rough to avoid premature polish. Move to click through wireframes in Figma when the question is structure and navigation. Validate information architecture, menu depth, labeling, and path efficiency while changes are still cheap. When the feel of interaction matters, use interactive digital prototypes to evaluate micro interactions, timing, and visual polish. Treat them as validation instruments, not trophies. Plan change criteria up front so attachment to a pretty artifact does not silence real feedback. Some questions require real performance and materials. Coded prototypes and functional hardware mockups tell you about latency, reliability, durability, ergonomics, and safety. In medical devices and other regulated domains, high fidelity functional and contextual testing is expected for Human Factors validation. Not every question lives on screens. Experience prototyping and bodystorming put bodies in space to surface constraints that lab tasks miss. Acting out a shared autonomous ride with props reveals comfort, cue timing, and social norms. Wearing a telehealth mockup for a week exposes stigma, routine friction, and alert patterns that actually fit domestic life. Before building intelligence, simulate it. Wizard of Oz studies let a hidden human drive system responses while participants believe the system is autonomous. You learn vocabulary, trust dynamics, acceptable latency, and recovery strategies without heavy engineering. AI of Oz replaces the human with a large language model so you can study conversational realism early. Manage risks like model bias, hallucinations, and outages with guardrails and logging so findings remain trustworthy. Strategic prototypes also matter. Provotypes and research through design artifacts challenge assumptions, surface values, and force early conversations about privacy, power, and trade offs that slides tend to dodge.

This is how Anthropic decides what to build next—and it's brilliant. Instead of endless spec documents and roadmap debates, the Claude Code team has cracked the code on feature prioritization: prototype first, decide later. Here's their process (shared by Catherine Wu, Product Lead at Anthropic): Step 1: Idea → Prototype Got a feature idea? Skip the spec. Build a working prototype using Claude Code instead. Step 2: Internal Launch Ship that prototype to all Anthropic engineers immediately. No polish required—just functionality. Step 3: Watch & Listen Track usage religiously. Collect feedback actively. Let real behavior, not opinions, guide decisions. Step 4: Data-Driven Prioritization - High usage + positive feedback → roadmap priority - Low engagement or complaints → back to iteration This "prototype-first product shaping" flips traditional product development on its head. Instead of guessing what users want, they're measuring what users actually use. The beauty? They're dogfooding their own tool to build their own tool. The feedback loop is immediate, honest, and impossible to ignore. The takeaway: Your best product decisions come from real user behavior, not theoretical frameworks. Sometimes the fastest way to validate an idea isn't a survey or interview—it's a working prototype.

Prototypes aren't for testing your product. They're for testing your assumptions. Most teams get this backward, and it costs them weeks of wasted effort and a product nobody wants. A prototype isn't a tiny product; it's a medium for learning. It's a tool designed to ask a specific question and test a core assumption with the right audience. An unintentionally designed prototype is a flawed input, and even with advanced teams and tools, flawed inputs only amplify flaws. The true power of a prototype isn't in its polish, but in the intentional "message" it sends. To unlock this power and truly accelerate collective learning across your organization, you must design with intent: ✺ Low-Fidelity Prototypes: These are for asking foundational, "Does this even solve the right problem?" questions. They signal that everything is up for debate. The intentional message is: "Let's explore the idea, not the pixels." ✺ Medium-Fidelity Prototypes: Use these to test core user flows and information architecture. The intentional message is: "Is this journey intuitive?" By keeping them a little rough, you prevent stakeholders from getting fixated on visual design. ✺ High-Fidelity Prototypes: Reserve these for the final stages to test things like micro-interactions, brand consistency, or subtle emotional responses. The intentional message is: "We're almost there. What are we missing?" This is how you turn prototyping from a simple task into a strategic lever for change and Team Learning. It ensures your team isn't just building things, but is learning together and making better decisions about what to build and why. It's how you break down silos and create a "Holding Environment" for generative dialogue. What's a time you intentionally used a low-fidelity prototype to prevent a high-stakes meeting from spiraling? Let’s discuss in the comments below. #ProductDesign #SystemsThinking #StrategicDesign #UXStrategy #DesignLeadership #ComplexSystems #TeamLearning #Prototyping #OrganizationalDesign #Innovation

For most in the product world, the idea of experimentation or testing immediately conjures up the idea of A/B testing. But A/B testing is really only possible under very specific circumstances. You typically need high volumes of traffic, simple UX choices and clear, measurable metrics. For example, it lends itself well to marketing website content driving conversion, but not to intricate product features inside apps that are meant to encourage product usage. So a great many product managers reject the idea as impossible and resort instead to just blindly building and launching whatever gets requested. But A/B testing is merely one very specific tool. It does not equal the concept of experimentation. True product experimentation is very simple: 1> You come up with ideas and theories (hypotheses) about customer problems or needs, ideally based on feedback and observation. 2> You ideate and build a very basic solution concept for that hypothesis. 3> You validate that concept with customers. 4> Based on the validation, you iterate, pivot or reject the concept. 'Validation' does not mean A/B testing. It does not need to be perfect. Furthermore, A/B testing is itself very far from perfect anyway. There are some very significant technical, methodological and maturity issues which mean that the vast majority of people using these tools are not seeing what they think they are seeing. No, the objective is simply to find the best possible way you have to sense check the solution with the market, and for that to be appropriate effort and cost for the stage of development of the idea. An initial rough prototype could be tested by asking some staff members to try it. Slightly more developed ideas could be tested by using surveys. B2B product prototypes can be tested by asking 2-3 customers. These are all perfectly acceptable forms or validation and 'testing'. Any kind of validation that takes you outside of your own opinions and bias is better than none. #product #productmanagement #productexperimentation #productdiscovery #productstrategy #digitalexperience #ecommerce

Product management is changing faster than most teams realize. A year ago, we started every project with requirements. User research. Stakeholder alignment. Detailed specs. Then we'd hand it off to engineering and wait months to see if we built the right thing. Now we start with prototypes. Last week our Product Manager, Mary Liu, built three conversational flows before lunch. By Friday, we had user feedback. One worked. Two didn't. We moved on. The entire cycle collapsed from months to days. This shift isn't just about speed. It's forcing us to rethink what a product manager actually does. Mary's role is less about writing perfect requirements and more about running tight learning loops. What question are we trying to answer? How do we test it with real users? What does success look like? Then iterate. Not everyone's on board yet. Some team members still ask for the PRD before they'll start. Engineers worry that rapid prototyping creates technical debt we'll regret later. And honestly? Sometimes they're right. But I keep coming back to one question: Are we rewarding our teams for producing documents, or for producing validated learning? #ProductManagement #AI #MedComms #DigitalTransformation

Agile Hardware Highlight: Astranis Space Technologies (SF, 🇺🇸) Three lessons on agile hardware engineering from Astranis—a company building small, geostationary satellites, and a Flow customer, with a scrappy, iterative approach that’s anything but traditional. 1. Scoping & Iterative Hardware Engineering The biggest mistake teams make is assuming they know how to execute on something they’ve never done before. Today, Astranis builds complex geostationary satellites, a notoriously challenging domain. But they didn’t start there. Their first cubesat, built for Y Combinator’s Demo Day, came together in just three weeks. The “cleanroom”? PVC pipes and shower curtains. Later, to test their software-defined radio technology, Astranis launched LEO satellites. These early missions helped them iterate on full mission profiles, get more reps for the team from each launch, and steadily progress to a more challenging higher orbit. If your team hasn’t done it before, it’s the same as doing it for the first time. Which is why optimising for cycle speed is so important. 2. No Systems Engineers—Because Everyone Is a Systems Engineer Every engineer owns the systems they work on. Every engineer is responsible not just for their component but for how it integrates into the larger system. This approach helps eliminate silos. Instead of handing off requirements without context, teams collaborate cross-functionally, enabling faster decisions and fewer disconnects. Ownership is a practice, not just a lofty principle. And it’s a big part of how Astranis moves quickly while building reliable systems. 3. Hardware-in-the-Loop Testing (HITL) To iterate faster and reduce risk, Astranis brings testing in-house. They’ve built facilities like thermal vacuum chambers and ion thruster testing setups, simulating space conditions in real time. This hands-on approach, known as hardware-in-the-loop testing (HITL), accelerates iteration cycles while uncovering and addressing potential issues early. Faster progress, higher reliability, and lower costs. The team is crushing it, and we’re excited to see what’s next. Astranis is proving that iterative hardware development is a competitive advantage, culminating in the recent successful commissioning of four new satellites currently on their way to GEO.

Game Prototyping Cheat Sheet In collaboration with Mykola, we made a guide to streamline your game prototyping process and find the fun faster. 𝟭. Define Core Mechanics 🎮 • Identify your game's essential interactions. • Test mechanics rapidly and frequently. • Ensure mechanics are fun in isolation. • Don't layer complexity too early. 𝟮. Follow the Process Flow 🔄 • Begin with concept clarity. • Move to rapid prototyping. • Incorporate feedback and iteration. • Finish with concept validation. 𝟯. Ask the Key Questions❓ • Is your core gameplay intuitive? • Can players grasp the primary goal immediately? • Does the prototype show the game's unique appeal? • Can your concept adapt easily after feedback? 𝟰. Avoid Common Mistakes ❌ • Overambitious scope → Focus on core mechanics first. • Neglecting feedback → Use rapid cycles of testing. • Excessive polish too early → Prototype quickly, refine later. • Poor onboarding → Use contextual hints and tutorials. 𝟱. Track the Right Metrics 📊 • Win Rate • Level Churn • D1-D3 retention • CPI • Playtime 𝟲. Remember the Golden Rule 🔥 • Fail fast, learn faster. ---- DM Mykola Veremiev if your studio needs help testing or scaling the next game idea

How do top UX designers find problems before coding?  They don’t start on screens Paper Prototyping:  Test Ideas Before You Build Them What is Paper Prototyping?   Sketch potential concepts, flows, or screens on paper   Test with real users before investing in digital prototypes Why it matters: • Fast • Cheap • Reveals fundamental usability issues Your Paper Prototyping Kit: • Phone & browser cutouts • Loading indicator •  Under construction” page • Blank paper for on-the-fly screens Tips Before Testing: • Make sure the “computer” knows the screens • Keep all screens consistent in fidelity • Avoid mixing hi-fi & lo-fi screens During the Test: • Scrolling: Use long sheets of paper • Dropdowns: Layer selections on top of screens • Overlays: Place overlay sheet on top Iterate Quickly: •  If a problem appears repeatedly, redraw screens immediately • Quick iterations = faster design solutions Paper prototyping = fast, cheap, effective early testing 💡 Question for you: Have you tested your designs on paper before building digital prototypes?Share your experience below!

💡Guerrilla Testing: 5 tips & tricks Guerrilla testing is an informal, low-cost, and rapid method for gathering user feedback on a product. Unlike more formal usability testing, which often takes place in controlled environments with recruited participants, guerrilla testing is typically done in public places with people who are available at the moment, such as in cafes, parks, or shopping malls. 1️⃣ Prepare ✔ Define clear objectives. Before starting, clarify what you want to learn from the testing (and why you want to do it). Focus on specific aspects of your product when defining objectives. ✔ Prepare design materials: Bring sketches, wireframes, or a prototype that can explain product ideas and be easy to interact with. 2️⃣ Choose the right location ✔ High foot traffic areas: Choose places where your target audience is likely to be. ✔ Relaxed atmosphere: Select locations where people feel comfortable and not rushed so that they are more likely willing to participate. ✔ Offer incentives: Offer small incentives like a coffee voucher or a snack to encourage participation. ✔ Be friendly & approachable: A smile and a casual approach go a long way in getting people to participate. ✔ Be ready to improvise: Guerrilla testing environments are unpredictable, so be prepared to adapt your script and approach on the fly. 3️⃣ Keep it simple & engage with participants ✔ Brief introduction: Keep your introduction short and to the point. Explain what you're doing, how long the testing will take, and what participants will get out of it. ✔ Minimal tasks: Focus on 1-3 key tasks during the 10-minute session to keep the testing brief and engaging. 4️⃣ Capture the essentials ✔ Avoid leading questions: Ask open-ended questions to get genuine feedback rather than guiding participants towards a specific response. ✔ Note-taking: Jot down key observations, but don't let it distract you from engaging with the participant. ✔ Record (with permission): If possible, record the session using a phone or a notepad app to capture nuances you might miss during the test. 5️⃣ Analyze and iterate quickly ✔ Immediate review: Go through your notes and recordings as soon as possible to capture fresh insights. ✔ Document and share key findings: Keep a record of all the insights you gathered, and ensure your team has access to this information. 📕 Guides ✔ A guide to guerrilla testing (by Nick Babich)  https://lnkd.in/dhBZbXkW ✔ A Guerrilla Usability Test on Dropbox Photos (by Francine Lee) https://lnkd.in/dNRFUbtd 🖼 Usability testing methods by Maze #usability #ui #uidesign #ux #uxdesign #testing #design