Cognitive Load: Why Simplicity Wins
Why does looking at a long to-do list make you tired before you have done anything?
One useful answer lives in a 1956 paper by cognitive psychologist George Miller. His research suggested that human working memory can hold only 7 ± 2 chunks of information at once. Later work refined the estimate: for complex tasks, the limit is often closer to 4 items. So if 15 active goals make you freeze, that is a design mismatch rather than a character flaw.
Miller's paper, "The Magical Number Seven, Plus or Minus Two," gave language to the bottleneck of short-term memory. You can hold only a few things in mind, that information decays quickly without rehearsal, and the more you manipulate it, the less room you have to store anything else. Trying to track too many goals at once can feel ambitious, but it often overloads a system with hard limits.
Educational psychologist John Sweller later expanded this into Cognitive Load Theory. Some mental load is intrinsic, because the task itself is hard. Some is germane, because it helps you build understanding. The load to cut is the wasteful kind: confusing interfaces, cluttered dashboards, constant re-deciding, and any design choice that makes you spend attention before you have even started the real work.
Decision fatigue belongs in the same conversation because choosing can become its own form of work. In 2008, Kathleen Vohs and colleagues found evidence that making decisions draws on some of the same resources as self-control, though the broader ego depletion model has had replication problems. The safest takeaway is modest but still useful: deciding has a cost. After a day of meetings, choices, and context switching, the question "which goal should I work on?" can be enough to drain energy that would have been better spent doing the work.
Many productivity tools accidentally make this worse by adding features, badges, dashboards, categories, filters, and metrics, then asking you to decide what all of it means. A tool meant to help you focus becomes one more surface demanding focus. The design problem is not how to show everything; it is how to show enough that the next move becomes easier.
For most people, a small set of active goals is already plenty. A good system should surface what matters now, hide what does not, and rely on a few clear signals rather than ten fragmented stats. Defaults matter here because every recurring decision you remove gives a little energy back to the work itself. If you already know what to do when you are unsure, you do not have to spend the first ten minutes negotiating with the tool.
How Annet applies this
Annet tries to keep the surface quiet by letting goals reason in the background, then surfacing one useful next step instead of asking you to scan everything. Health Score gives a single read on how a goal is doing, while wave states turn daily interpretation into a simpler question of whether the goal is Building, Resonating, or Fading.
Doing carries that same principle into action by putting the immediate task, timer, or quick log in front of you and letting the rest of the system stay out of the way until it is needed.
References
- Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81-97.
- Sweller, J. (2011). Cognitive load theory. In J. Mestre & B. Ross (Eds.), Psychology of Learning and Motivation (Vol. 55, pp. 37-76). Academic Press.
- Cowan, N. (2001). The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24(1), 87-114.
- Vohs, K. D., Baumeister, R. F., Schmeichel, B. J., Twenge, J. M., Nelson, N. M., & Tice, D. M. (2008). Making choices impairs subsequent self-control. Journal of Personality and Social Psychology, 94(5), 883-898.
- Baumeister, R. F., & Vohs, K. D. (2016). Strength model of self-regulation as limited resource: Assessment, controversies, update. Advances in Experimental Social Psychology, 54, 67-127.
