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Boagworld: UX, Design Leadership, Marketing & Conversion Optimization

Boagworld: UX, Design Leadership, Marketing & Conversion Optimization

著者： Paul Boag Marcus Lillington
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 Boagworld: The podcast where digital best practices meets a terrible sense of humor! Join us for a relaxed chat about all things digital design. We dish out practical advice and industry insights, all wrapped up in friendly conversation. Whether you're looking to improve your user experience, boost your conversion or be a better design lead, we've got something for you. With over 400 episodes, we're like the cool grandads of web design podcasts – experienced, slightly inappropriate, but always entertaining. So grab a drink, get comfy, and join us for an entertaining journey through the life of a digital professional.Boagworks Ltd 経済学
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  • Surviving Crisis: Lessons from Higher Ed's Financial Storm

    Surviving Crisis: Lessons from Higher Ed's Financial Storm
    2025/12/23
    In this episode, we welcome back Andrew Millar from the University of Dundee to discuss the current state of higher education, vibe coding platforms for non-developers, and the importance of community-driven conferences like Scottish Web Folk.App of the Week: Bolt.newThis week we're looking at Bolt.new, a vibe coding platform designed specifically for non-developers. Unlike tools like Cursor that are built for developers to pair program with AI, Bolt is aimed at people like marketers, designers, and small business owners who want to create functional applications without ever touching code.Paul has been using Bolt to build practical tools for his own business, including a custom top task analysis app, WordPress plugins, JavaScript extensions, and CSS animations. The platform handles everything from the database to publishing and hosting, making it genuinely accessible for non-technical users.However, we'd caution against treating these tools as production-ready for enterprise use. They're excellent for prototyping, internal tools, and small-scale applications, but they likely won't pass rigorous quality control in larger organizations. Think of them like desktop publishing was in the early days. They democratize creation but don't eliminate the need for professional expertise.For production-ready code, the real value comes when developers use AI pair programming tools where they can review, understand, and quality-check the output. The future likely involves professionals using these tools to increase productivity rather than replacing expertise entirely.Topic of the Week: The State of Higher Education and Digital TransformationAndrew Millar, who runs the digital team at Dundee University, joins us to paint an honest picture of the current higher education landscape. It's not pretty, but his candid insights offer valuable lessons for anyone navigating organizational crisis, whether in universities or elsewhere.The Perfect Storm Facing UniversitiesHigher education has always claimed poverty, but the structural problems have become impossible to ignore. Universities face two fundamental financial challenges: funding per student hasn't kept pace with inflation over the past decade, and research grants typically only cover around 80% of actual costs, leaving institutions to make up the difference.International students became the solution to plug this gap. They could be charged higher fees and effectively cross-subsidized teaching for domestic students and research activities. This worked until a perfect storm hit: COVID disruptions, international conflicts, hostile government rhetoric toward international students, and for Dundee specifically, the Nigerian economy's collapse, which dramatically reduced one of their key international markets.Dundee found themselves with a 30 million pound deficit. Within a year, the principal resigned, the entire executive changed, the Scottish government stepped in with emergency funding, and 500 staff members have left from a workforce of around 3,000.The Three Phases of Crisis ManagementAndrew outlined three distinct phases organizations go through during financial crisis, and his framework offers practical guidance for anyone facing similar situations.Phase 1: Cut, Cut, CutWhen crisis hits, budgets get slashed, often multiple times. Andrew recommends categorizing everything into three buckets: what's absolutely critical to keep the lights on, what will hurt but won't cause lasting harm, and what's easy to eliminate. This is actually an opportunity to clear out legacy systems and processes that nobody uses but somehow persist.The challenge is that during this phase, people aren't open to change or new ways of working. They just want to see the existing stuff cut. Don't waste energy trying to introduce innovations here. Focus on strategic pruning.Phase 2: The Great Spaghetti Flying ContestThis is where everyone becomes an expert on how to solve the crisis. Phrases like "we should at least try it" and "isn't it good to test ideas?" fly around constantly. The problem is that these are the exact phrases digital teams have been using for years to encourage experimentation, now thrown back at them by people with competing priorities.Governance structures become critical here. You can clarify requests (ensuring they're truly worth pursuing), compromise on scope, or clog them up in committees until priorities become clearer. When your escalation paths have collapsed, as they did at Dundee when leadership departed, you're left justifying decisions without backup.The key insight: never say "computer says no" via email. Have conversations. Explain your reasoning. When people understand the constraints, they typically accept them. Email refusals just get escalated to whoever shouts loudest.Phase 3: The Big SqueezeWith less money, fewer people, less institutional knowledge, and no clear strategy, this phase is when things get really difficult. But paradoxically, it's also when ...
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    1 時間 4 分
  • E-commerce UX Secrets: What 200,000 Hours of Research Reveals About Conversion

    E-commerce UX Secrets: What 200,000 Hours of Research Reveals About Conversion
    2025/11/18
    If you run an e-commerce site or work on digital products, this conversation is packed with research-backed insights that could transform your conversion rates.Apps of the WeekBefore we get into our main discussion, we want to highlight a couple of tools that caught our attention recently.UX-Ray 2.0We talked about this last week, but it deserves another mention. UX-Ray from Baymard Institute is an extraordinary tool built on 150,000 hours (soon to be 200,000 hours) of e-commerce research. You can scan your site or a competitor's URL, and it analyzes it against Baymard's research database, providing specific recommendations for improvement.What makes UX-Ray remarkable is its accuracy. Baymard spent almost $100,000 just setting up a test structure with manually conducted UX audits of 50 different e-commerce sites across nearly 500 UX parameters. They then compared these line by line to how UX-Ray performed, achieving a 95% accuracy rate when compared to human experts. That accuracy is crucial because if a third of your recommendations are actually harmful to conversions, you end up wasting more time weeding those out than you saved.Currently, UX-Ray assesses 40 different UX characteristics. They could assess 80 parameters if they dropped the accuracy to 70%, but they chose quality over quantity. Each recommendation links back to detailed guides explaining the research behind the suggestion.For anyone working in e-commerce, particularly if you're trying to compete with larger players, this tool is worth exploring. There's also a free Baymard Figma plugin that lets you annotate your designs with research-backed insights, which is brilliant for justifying design decisions to stakeholders.SnapWe also came across Snap this week, which offers AI-driven nonfacilitated testing. The tool claims to use AI personas that go around your site completing tasks and speaking out loud, mimicking user behavior.These kinds of tools do our heads in a bit. On one hand, we're incredibly nervous about them because they could just be making things up. There's also the concern that they remove us from interacting with real users, and you don't build empathy with an AI persona the way you do with real people. But on the other hand, the pragmatic part of us recognizes that many organizations never get to do testing because management always says there's no time or money. Tools like this might enable people who would otherwise never test at all.At the end of the day, it comes down to accuracy and methodology. Before using any such tool, you should ask them to document their accuracy rate and show you that documentation. That will tell you how much salt to take their output with.E-commerce UX Best Practices with Christian HolstOur main conversation this month is with Christian Holst, Research Director and Co-Founder of Baymard Institute. We've been following Baymard's work for years, and having Christian on the show gave us a chance to dig into what nearly 200,000 hours of e-commerce research has taught them about conversion optimization.The Birth of Baymard InstituteChristian shared the story of how Baymard started about 15 years ago. His co-founder Jamie was working as a lead front-end developer at a medium-sized agency, and he noticed something frustrating about design decision meetings. When the agency prepared three different design variations, the decision often came down to who could argue most passionately (usually the designer who created that version), the boss getting impatient and just picking one, or the client simply choosing their favorite.Rarely did anyone say they had large-scale user experience data to prove which design would actually work better. They realized they could solve this problem by testing general user behavior across sites and looking for patterns that transcend individual websites. If they threw out the site-specific data and only looked for patterns across sites, they could uncover what are general user behaviors for specific UI components and patterns.It started with just checkout flows. It wasn't even clear they would ever move beyond that. But now, 15 years later, Baymard has a team of around 60 people, with 35 working full-time on conducting new research or maintaining existing research.The Role of Research-Backed GuidelinesOne important point Christian emphasized is that Baymard's research isn't meant to replace your own internal testing. You should always do your own data collection and usability testing. The point of having a large database of user behavior and test-based best practices is that when you're redesigning something, you have maybe 100 micro decisions to make. You can't run internal tests for every single one of those decisions.Even Fortune 500 companies that have the budget don't have the time to wait for results on every micro decision. So what happens is you collect research on the two or three big things that are site-specific or unique to your brand or customer demographic. ...
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    58 分
  • Dark Patterns, Bright Ideas: Why Deceptive Design Belongs in Accessibility

    Dark Patterns, Bright Ideas: Why Deceptive Design Belongs in Accessibility
    2025/09/23
    You know, those sneaky little tricks sites use to funnel you into doing things you never intended, like paying for insurance you didn’t want or scrolling until your thumb falls off.We talked about why this stuff isn’t just bad manners, but also an accessibility issue, and how to push back when your boss is shouting about conversion rates. We also wandered off into personas, because what’s a Boagworld Show without a tangent or two?App of the WeekThis week app is Be My Eyes. It’s designed to support blind and low-vision users by letting them connect with volunteers (or increasingly, AI) who can describe what’s in front of them. It’s practical, humane, and a great reminder that sometimes technology really does make life easier. Unlike my dishwasher, which still beeps at me like I’m trying to launch a nuclear missile.Topic of the Week: Deceptive Design, Accessibility, And The Real Cost Of ManipulationThis is where we rolled up our sleeves and got into the meat of it. What actually counts as deceptive design, why it’s more than just “bad UX,” and why the accessibility crowd are getting involved.What Do We Mean By Deceptive?There’s no single definition everyone agrees on, but the gist is: if you’re deliberately steering or trapping users into something they didn’t intend or need (and especially if it lines your company’s pockets) it’s deceptive. That’s different from an anti-pattern, which is just poor design born of ignorance.Why It’s An Accessibility IssueDeceptive patterns catch everyone out eventually, but they’re especially cruel to people with cognitive disabilities, attention difficulties, or those relying on assistive tech.If you’ve ever been stuck doomscrolling until you realized it’s not lunchtime but bedtime, you’ll know the feeling. The difference is, for some users, the consequences can be more than just a lost afternoon. That’s why accessibility guidelines are starting to take these patterns seriously.If you’re keen to see where this work is going, have a poke at these:WCAG 3 Working DraftW3C User StoriesProposed Personas DraftWhere It Gets MessyOf course, it’s rarely moustache-twirling villains plotting this stuff. Most of the time it’s teams chasing KPIs (sales, clicks, engagement) and nudging too far. That’s how you get:The big shiny green “Buy with insurance” button, while the “Buy without” option is hiding in grey.Cheaper plans buried three clicks down, so the expensive ones look like the only choice.The friendly phone call that turns into a hard sell for extended warranties.On paper the numbers look great. Meanwhile, refunds, complaints, and customer churn quietly tick upward. But hey, at least the dashboard looks good, right?The Role Of AIAI has the potential to make things better (look at how Be My Eyes uses it) but it also risks making things worse. More chatbots standing between you and an actual human being, for instance.At the moment we haven’t seen a tidal wave of AI-driven trickery, but the ingredients are all there. Somewhere in Silicon Valley, there’s probably a twenty-something rubbing his hands and plotting.Pushing Back Without Becoming UnemployedTelling your boss “this is unethical” might get you a polite nod. Showing them how deceptive patterns increase refunds, tank repeat purchases, and hike up customer support costs? That’s when people start listening. Always lead with the business case, because sadly “doing the right thing” isn’t enough in most boardrooms.Offer alternatives that still meet goals but don’t annoy users. Equal-weight buttons. Clear language. Confirmations before adding sneaky extras. And if management still insists, put your concerns in an email so there’s a record. Nobody likes receiving an email that basically says, “I warned you.”Personas With A Bit More RealityWhile we’re at it, let’s talk personas. Most marketing personas are about as useful as a chocolate teapot. They’re built around demographics and stereotypes. King Charles and Ozzy Osbourne would end up in the same persona (same age, same country, both live in castles). Clearly useless.Instead, think functional personas. Base them on needs, tasks, objections, and accessibility requirements.You don’t need a “disabled persona.” Just make sure some of your personas have traits like dyslexia, ADHD, low vision, or anxiety about being conned. That way, you’ve got a ready-made reason to say, “This won’t work for Priya, who relies on a screen reader.”The Big PictureDeception feels like a shortcut. It isn’t. It costs you in trust, support overhead, and long-term loyalty. Treat deceptive design as an accessibility barrier, argue with data, and keep users in your personas. That way you’ll serve both your customers and your company—and maybe sleep better at night.Read of the WeekIn this week’s show we also highlighted two cracking resources:Deceptive DesignA collection of manipulative patterns with ...
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    55 分
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