Discover how successful PMs challenge the false dichotomy between accuracy and diversity in recommendations, with practical frameworks for making better product decisions under real-world constraints.

My learning focus is on: • Practical product decision-making under constraints • User research interpretation and prioritization trade-offs • Case-based analysis of real products (especially consumer internet or AI-related products)


From Columbia University alumni built in San Francisco
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From Columbia University alumni built in San Francisco

Lena: Hey there, product decision-makers! Welcome to another episode of "Product Decisions Unpacked." I'm Lena, and I'm joined by my co-host Miles. Today we're talking about something that feels like a constant struggle for product managers—making decisions when you can't have everything.
Miles: Absolutely, Lena. And what's fascinating is how many PMs think they're facing an either-or choice between accuracy and diversity in their recommendations. There's this persistent belief that you can either show users what they're most likely to want, or you can show them a diverse set of options—but not both.
Lena: Right! I was reading this MIT study that completely challenges that assumption. It turns out that when you account for users' consumption constraints—like the fact that they can only watch one movie or dine at one restaurant at a time—diversity actually supports utility rather than competing with it.
Miles: That's such a counterintuitive insight. Most recommendation systems are optimized for accuracy, which means showing users items they're most likely to click on. But that approach often leads to homogeneous recommendations that don't actually serve users well.
Lena: I mean, think about it—if I'm in the mood for comedy 80% of the time and action 20% of the time, showing me only comedy recommendations might seem "accurate," but what happens that 20% of the time when I want action?
Miles: Exactly! You're left with no good options. It's like grocery stores devoting more space to ice cream than milk, even though people buy milk more often. There's a method to that madness—you need more variety in categories where individual items are less likely to satisfy the customer.
Lena: So let's dive into how product managers can make better decisions by understanding this relationship between accuracy, diversity, and actual user utility...