You’ve probably noticed the pattern. A marketer spends weeks perfecting a campaign, strips it down to a single emoji and five words, and launches it with confidence. The logic is bulletproof: remove friction, boost engagement, maximise reach. Yet weeks later, nobody remembers the campaign existed. This is the central paradox of modern content strategy: in chasing “easy” frictionless information delivery, we’re accidentally designing information to be forgotten.

The myth of “easy” information and effortless understanding

I recall when I was a young creative, bosses and clients of all kinds tried to convince me that our audience should be treated almost exclusively as brain-lazy idiots – or both – incapable of processing anything beyond the message equivalent of a grunt.  The conventional wisdom suggests that cognitive load is the enemy.  Simplifying the thinking makes people more engaged, the logic goes. This is seductive because it’s partly true: removing visual clutter, jargon or confusing information improves the experience. However, somewhere along the way the industry conflated “clarity” with “instant gratification”. And that’s where things fall apart.

Here’s the uncomfortable truth: retention and genuine engagement require a minimum dose of cognitive processing. Not struggle. Not confusion. But genuine thinking.

When content demands almost nothing from our minds, it passes through working memory like water through a sieve. You see it, maybe you feel something in that moment, and then it vanishes. Social feeds are the perfect proof. You can scroll for twenty minutes, consume dozens of posts, and struggle to recall a single one by evening. The environment itself is cognitively saturated with notifications, metrics, social cues all competing for your attention, which push us toward shallow processing. Ultra-light content thrives in this chaos precisely because it asks nothing of us.

The three types of thinking you actually need

Cognitive Load Theory distinguishes between three kinds of mental effort. Extraneous load is the noise. Bad design, clutter, distractions. That absolutely should be minimised. Intrinsic load is the inherent complexity of the material itself. You can’t escape it without oversimplifying. But here’s the critical one: germane load. This is the thinking that actually builds understanding; connecting new information to what you already know, comparing ideas, retrieving related knowledge, asking “why?” (Sweller et al., 2011).

When you strip away extraneous load, germane load must rise. Otherwise you’ve just created empty calories. Research on learning outcomes demonstrates that retention improves when cognitive effort is balanced rather than minimised; intrinsic and extraneous load are managed, but germane load remains substantial (Mayer & Moreno, 2003).

Designing for minds, not just screens

The antidote isn’t to make content harder. It’s to make it smarter. Remove unnecessary friction—yes, absolutely. But respect that understanding requires work. That might look like:

A social post that poses a question rather than announces a conclusion. A sequence of related ideas that builds rather than isolated bites that stand alone. A choice point that invites readers to apply what they’ve learned rather than passively consume.

These small frictions aren’t bugs. They’re the mechanisms through which information becomes sticky. Active processing—retrieval, elaboration, and metacognitive reflection—strengthens memory encoding (Dunlosky et al., 2013).

The Metrics Question

Most teams measure success by reach and impressions. That’s fine if your goal is attention or just to make a meaningless, good impression on your client or your boss. But if you want behaviour change, memory, trust, or genuine engagement, you need different questions. Was it recalled a week later? Did it shift how someone thinks? Did they do anything with it?

The hard truth: content that truly sticks often feels slightly heavier than pure entertainment. That’s not a flaw. That’s the signature of something worth remembering.

References

Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students’ learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public Interest, 14(1), 4–58. https://doi.org/10.1177/1529100612453266

Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational Psychologist, 38(1), 43–52. https://doi.org/10.1207/S15326985EP3801_6

Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1207/s15516709cog1202_4

Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. Springer. https://doi.org/10.1007/978-1-4419-8126-4

Frauhammer, L. T., et al. (2025). How cognitive elaboration fosters knowledge acquisition on social media. Journal of Computer-Mediated Communication, 30(5), zmaf014. https://doi.org/10.1093/jcmc/zmaf014