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As I learn …

As I learn …

This site is about all things product (management), sharing things as I learn


  • May 24, 2023

    Duolingo Max (Product Review)

    Duolingo Max (Product Review)

    My summary of Duolingo Max before using it – Duolingo using generative AI to help its users learn new languages. How does Duolingo Max explain itself in the first minute? – The Duolingo blog post that announced Duolingo Max talks about “a learning experience powered by GPT-4”. Duoling Max is a new subscription tier that…

  • May 17, 2023

    Slay (Product Review)

    Slay (Product Review)

    My summary of Slay before using it – Slay is an app aimed at teenagers, aiming to bring some positivity to its users. How does Slay present itself in the first minute? – “Let the love in” is what it says when I search online for Slay. If I then go into the app store,…

  • May 5, 2023

    “Listen Like You Mean It” (Book Review)

    “Listen Like You Mean It” (Book Review)

    “Too often, we “solve” for miscommunication by focusing only on what we say and how we’re saying it: if we could only get our message across, things would be much easier.” It’s a powerful statement taken from “Listen Like You Mean It: Reclaiming the Lost Art of True Connection” by Ximena Vengoechea. Vengoechea is an…

  • April 28, 2023

    My Product Management Toolkit (57): Commander’s Intent

    My Product Management Toolkit (57): Commander’s Intent

    “Never tell people how to do things. Tell them what to do, and they will surprise you with their ingenuity.” General George S. Patton In the military, planners use Commander’s Intent to plan a mission. Commander’s Intent is the description and definition of what a successful mission will look like. Commander’s Intent approach feels equally…

  • April 21, 2023

    Human + Machine: Spotify’s ‘Algotorial Playlists’

    Human + Machine: Spotify’s ‘Algotorial Playlists’

    When I think about personalised content, I think of Netflix and Spotify providing recommendations during the onboarding process based on a user’s tastes and preferences. These recommendations will then be refined and augmented as a user consumes more content. This level of personalisation is fully algorithm based, which makes it highly scalable but also prone…

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