Exercise 2: Forcing Categories to Satisfy the Three-Click Rule — Possible Solution
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Real usability research has directly challenged the three-click rule -
studies have found that the number of clicks needed to reach content
affects neither user satisfaction nor task success rate. Forcing every
product into one of only three top-level categories to satisfy a rule
that real research doesn't actually support is optimizing for the
wrong thing.

What the research does say matters is whether each individual click is
a confident, well-informed one. If products that don't genuinely fit
any of the three categories get crammed in anyway, users browsing that
category now face a confusing, poorly-labeled set of choices at each
step - a worse experience overall, even though it technically keeps
the click count low. Five confident, well-labeled clicks would beat
three confusing ones.

The real decision should be guided by how well categories actually
match how real users think about the products - the same kind of
evidence card sorting (also covered in this chapter) or real usability
testing (Chapter 2) would surface, not an arbitrary click-count target
that the underlying research has already shown doesn't predict success.

ANSWER: Real research says the number of clicks doesn't itself predict
user satisfaction or success - forcing products into ill-fitting
categories to satisfy a debunked rule makes each click less confident
and clear, which is what actually matters. The decision should instead
be guided by real evidence of how users naturally think about the
products, such as card sorting results or usability testing, rather
than an arbitrary click-count target.

WHY THIS WORKS AS AN ANSWER
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This correctly applies the chapter's own real finding - that click
count doesn't predict success, but click confidence does - to a
concrete e-commerce scenario, and points to the chapter's own
evidence-based alternative (card sorting/usability testing) rather
than another arbitrary rule.