design - Hitchhikers Guide to Design

Kitchen Sink

41 • Kitchen Sink

Post author:hitchhiker
Post category:Style Over Substance

The Kitchen Sink is what happens when an app - or a map - tries to show everything and ends up explaining nothing. At first glance, it looks impressive. Packed. Comprehensive. Full of features, layers, and information. But spend more than a few seconds with it, and the experience quickly shifts from insight to overload. The eye jumps. The interface competes for attention. The meaning gets buried somewhere between panels, controls, and colors. The Kitchen Sink is not a failure of effort. It is a failure of prioritization.

Iceberg Model

40 • Iceberg Model

Post author:hitchhiker
Post category:The Productivity Mirage

The Iceberg Model is a systems thinking tool that helps uncover the root causes of problems by looking beyond immediate, visible events. It uses the metaphor of an iceberg to illustrate that events (the tip) are driven by deeper layers that are hidden below the surface.

AI Oracle Effect

38 • AI Oracle Effect

Post author:hitchhiker
Post category:The Productivity Mirage

The AI Oracle Effect occurs when teams treat AI-generated output as inherently correct, authoritative, or strategically sound - AI stops being a tool and starts being treated like prophecy.

Cobra Effect

37 • Cobra Effect

Post author:hitchhiker
Post category:Mind Games & Mental Traps

The Cobra Effect describes situations where the metric improves but the experience does not. Nascent product teams often craft incentives with the noblest of intentions: faster growth, happier users, quarterly bonuses; yet sometimes the universe responds not with improvement but with a sharp increase in the very problem they hoped to solve.

Hick's Law

36 • Hick’s Law

Post author:hitchhiker
Post category:Mind Games & Mental Traps

Hick’s Law describes how the time it takes a user to decide increases with the number (and complexity) of choices presented. In UX, it’s a reminder that cluttered interfaces and excessive options slow users down and create cognitive overload.

Recency Bias

35 • Recency Bias

Post author:hitchhiker
Post category:Mind Games & Mental Traps

Recency bias is the tendency for people to weigh the most recent information or experience more heavily than earlier ones, sometimes even disproportionately. In UX, it means users’ judgments and memories of your product are often dominated by what happened last, not by the full journey.

Primacy Bias

34 • Primacy Bias

Post author:hitchhiker
Post category:Mind Games & Mental Traps

Primacy bias describes how people tend to remember and be influenced more by the first items in a sequence than by those that come later. In UX, it shows up when users disproportionately notice, choose, or recall the first option presented to them, sometimes regardless of whether it’s the best.

Anchoring Bias

33 • Anchoring Bias

Post author:hitchhiker
Post category:Mind Games & Mental Traps

Anchoring bias happens when people rely too heavily on the first piece of information they see, the “anchor”, when making decisions. In UX, it shows up when users’ perceptions, expectations, or actions are influenced by an initial number, label, or example, even if it’s arbitrary or irrelevant.

Confirmation Bias

32 • Confirmation Bias

Post author:hitchhiker
Post category:Mind Games & Mental Traps

Confirmation bias is the tendency to favor information that confirms what we already believe, while ignoring or discounting evidence that challenges our assumptions. In UX, it shows up when teams interpret user feedback, analytics, or test results through the lens of their preconceived ideas, leading to poor decisions and missed opportunities.

Sunk Cost Fallacy

31 • Sunk Cost Fallacy

Post author:hitchhiker
Post category:Mind Games & Mental Traps

Sunk cost fallacy is the tendency to keep investing time, effort, or money into something, just because you’ve already invested so much, even when it’s clear it’s not working. In UX, this shows up when teams cling to flawed designs, failed features, or outdated systems simply because they don’t want to “waste” what’s already been spent.