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Business confidence for designers.© 2026 d.MBA Arte Economía Exito Profesional
Episodios
  • Before You Add AI, Ask These 5 Questions

    Before You Add AI, Ask These 5 Questions
    Sep 10 2026
    🎟️ WHO GETS TO DECIDE? Brighton, 23 September 2026Want to experience Melin’s workshop for yourself? Join us at Sea Lanes in Brighton for an evening exploring where designers fit in leadership as AI changes our work.You’ll work through real AI decisions, practise navigating difficult stakeholder conversations, and leave with a practical decision checklist and your own AI manifesto.Tickets are just £30 including food and a drink, £25 each if you bring a friend, and even less if you come as a team.👉 Get your ticket: https://d.mba/sessions-brightonBefore you add AI, ask these 5 questions.Designers are increasingly being asked to put AI into products, processes and workflows. But how do you know when it’s actually the right decision?In this episode of In Practice, I’m joined by Melin Edomwonyi, founder and UX Director at Seedable Studio, to explore five areas we should be questioning before reaching for AI: value, trust, cost, safety and ethics.We talk about starting with the problem rather than the tool, the risks AI can introduce to users and brands, and how designers can bring balance and critical thinking into conversations about AI without getting caught up in either the hype or the backlash.Melin also shares how designers can use the skills we already have to ask better questions, bring evidence into the room and have more influence over the decisions being made around AI.FIND MELINSeedable Studio: https://seedable.studioLinkedIn: / melinedo 🎓 APPLICATIONS FOR d.MBA ARE OPENOur next five-month d.MBA cohort starts on 5 October 2026. If you want to build your confidence around business, strategy and having more influence in the decisions that shape your work, applications are open now.Apply: https://d.mba/apply00:00 The AI mess that took years to clean up01:30 Conversation starts: meet Melin02:06 Pressured to use AI in 2023 — and the fallout04:54 Inside "Leading With Clarity in the AI Era"07:09 Love and hate: how you really feel about AI07:51 Personal values vs organisational values10:27 The five hard questions11:09 Value: don't start with the tool14:24 Trust & UX: hallucinations and who's accountable18:03 Cost: compute, maintenance and the tech giant risk22:12 Safety & ethics: bias, data leakage, energy25:03 ChatGPT vs Gemini vs Claude27:42 Pushing back without being "the AI skeptic"34:45 Writing your AI leadership manifesto38:00 Seedable Studio and where to find Melin
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    40 m
  • Is Your Product Actually Worth It? (a scorecard)

    Is Your Product Actually Worth It? (a scorecard)
    Sep 4 2026
    Would anyone miss your product if it vanished tomorrow? It's one of the best strategic questions you can ask, and it's just one part of the Worth-It Test.Juju (Juliana Muñoz Uribe) is a strategist and writer whose Substack, Unfluence Lab, tracks how behaviour and meaning are shifting in tech. Her argument: as products mature, extraction creeps into the business model, meaning breaks, and users quietly stop caring. Her answer is a scorecard built on four pillars of meaning from social psychology, coherence, connection, contribution, and something bigger, that lets you audit any product, filter ideas, and work out whether what you're building is genuinely worth it. In this episode she opens it up on screen, scores real products with it, and then does something braver: she scores this podcast, live, with me pushing back on the grades.We get into:The four pillars: does it hold together, does it create a space people return to unprompted, is it genuinely useful, does it serve something beyond the transactionThe vanish test: would anyone miss it if it disappeared tomorrowLive audits: Too Good To Go (where trust is cracking) and Cosmos (the intention economy done right)The self-audit: Juju scores In Practice, and I argue two of her grades downUsing the scorecard to filter ideas now that building is no longer the bottleneckWhat to do when the scorecard tells you your work isn't worth it, and why frustration is the most useful emotion you haveThe shift from the attention economy to the intention economyTRY IT YOURSELFThe scorecard comes from Juju's essay The Worth-It Test, read it, run it on your own product, and she'd genuinely love to hear how it went https://unfluencelab.substack.com/p/t...JUJU'S LINKSUnfluence Lab, Juju's Substack on psycho-technology shifts: https://unfluencelab.substack.comJuju on LinkedIn: / jujumunoz d.MBABusiness education for designers: https://d.mba00:00 "When extraction breaks meaning"01:01 The conversation with Juju01:30 Deleting Facebook: where the question started02:57 The product playbook that erodes meaning05:39 A model for "is it worth it?"06:39 The four pillars of meaning08:45 Turning the pillars into a scorecard14:00 How the scoring works (0–3)16:33 Auditing the DMBA podcast live24:03 Real-world audits30:06 The crisis of meaning34:33 When your product isn't worth it39:51 Final advice & where to find Juju
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    43 m
  • From Idea to Live App — A Designer's Real AI Workflow

    From Idea to Live App — A Designer's Real AI Workflow
    Aug 19 2026
    The real skill with AI tools isn't prompting. It's knowing when to stop prompting, when to step in, do it by hand, and hand the result back to the machine.Darshan Gajara is a design leader who actually ships. His latest is Beanpresso, a coffee journaling app built in Lovable, launched, and refined in the wild. In this episode he shares his screen and walks through the whole build, the real project, the prompt history, the dead ends, and the moments a designer's eye had to take over, from first idea to live product, plus how he's approaching monetisation and marketing as a solo maker.We get into:Starting in Lovable and only bringing in Figma once the idea took shape, "give it a designer's touch"Why you don't need to design whole flows anymore: get one page right and Lovable infers your design systemThe handoff problem: screenshots plus precise description, component by component, down to corner radiiThe SVG trick: when the animation kept breaking, he built the UI by hand, named every layer, exported an SVG and told Lovable to animate exactly that"I'm still a designer": choosing to do the branding by hand, and why some things are better that wayMonetising a side project: premium taste insights, and a roaster marketplace his own users suggestedMarketing by making: free tools, a Berlin coffee guide the roasters reshared, and an AI writing setup trained on his own styleGET THE APPBeanpresso, coffee journaling for people who take their beans seriously: https://beanpresso.comMY REFLECTIONSI share my personal takeaways from each episode in the d.MBA newsletter, what I actually learned and what I'm stealing for my own builds: https://d.mba/newsletterLINKSDarshan on LinkedIn: / darshangajara Product Disrupt, Darshan's design learning resource: https://productdisrupt.comDarshan's site: https://darshan.designd.MBA, business education for designers: https://d.mba00:00 – "They just keep banging their heads, burning through tokens"00:36 – Who Darshan is, and what this episode is really about01:36 – Interview starts: scratching his own itch.05:51 – App demo: scanning a bag, community feed, taste stats10:51 – Validating the idea (and why the existing coffee apps weren't good enough)14:12 – Version one: built straight in Lovable, no design15:54 – The prompting workflow: voice notes → Notion AI → Claude → Lovable18:21 – Why he dropped the native app and went web19:33 – Mood boarding with Variant, and finding the visual language23:54 – Naming it, and why AI is terrible at logos27:15 – What AI is good at, and what he had to do by hand30:45 – Taking the design back into Lovable, component by component33:27 – Building new flows once Lovable knows your design system36:36 – The SVG animation trick38:27 – Don't expect one tool to do everything42:06 – Monetisation: premium stats and a roaster marketplace45:45 – Distribution: small free tools, Instagram, and SEO49:15 – Where to find Beanpresso and Darshan
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    52 m
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