d.MBA

d.MBA

Business confidence for designers.

  1. 10 hr ago

    Is Your Product Actually Worth It? (a scorecard)

    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 transaction The vanish test: would anyone miss it if it disappeared tomorrow Live 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 down Using the scorecard to filter ideas now that building is no longer the bottleneck What to do when the scorecard tells you your work isn't worth it, and why frustration is the most useful emotion you have The shift from the attention economy to the intention economy TRY 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.mba 00:00 "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

  2. 19 Aug

    From Idea to Live App — A Designer's Real AI Workflow

    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 system The handoff problem: screenshots plus precise description, component by component, down to corner radii The 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 way Monetising a side project: premium taste insights, and a roaster marketplace his own users suggested Marketing by making: free tools, a Berlin coffee guide the roasters reshared, and an AI writing setup trained on his own style GET THE APPBeanpresso, coffee journaling for people who take their beans seriously: https://beanpresso.com MY 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/newsletter LINKSDarshan 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.mba 00:00 – "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

  3. 5 Aug

    How to Work Out What You Actually Want From Your Design Career

    Everybody thinks they know what matters to them. Then you ask them, and they can't tell you. Daniel Burka has stood at more career crossroads than most: Digg, Glitch (which became Slack), a company sold to Google, five years at Google Ventures, then eight years in global public health. Every time the stakes got high, he reached for the same thing: Job Rank, a weighted-scoring spreadsheet for choosing your next role. In this episode he opens the real template on screen and walks through exactly how it works, for designers, product people, and anyone in tech staring at a hard career decision. We get into: Why the spreadsheet isn't really the tool: 90% of the value is being forced to write down what you value and rank it If everything's important, nothing's important: how the weighting forces the trade-offs a pros and cons list politely avoids The moment the sheet told Daniel something his ego didn't want to hear about a big role at Google How the tool travels with you: same values, different weights, as your life changes Where AI fits into a decision that should stay human GET THE TEMPLATEFree to copy, in Daniel's full write-up: https://www.hardproblems.com/articles... LINKSHard Problems, helping designers and people in tech find work that matters: https://www.hardproblems.com d.MBA, business education for designers: https://d.mba 00:15 – What this episode is about02:10 – Daniel's career crossroads04:15 – Job Rank: it's just a spreadsheet04:40 – Writing down what matters to you06:25 – Weighting each value (and why not everything's a 5)09:50 – Scoring the jobs you're considering11:20 – Scoring jobs that don't exist yet13:10 – How to make your own job16:50 – The Google role his ego wanted19:10 – Why 90% of the value is just writing it down21:10 – Hard Problems: work that actually matters25:05 – Jobs that matte

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Business confidence for designers.

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