Tasks — Our approach

A task list is not a collection of things to do. It is a model of your attention — where it should go, when, and why.

The problem

The average person has between 50 and 150 items on their to-do list at any given time (Masuda et al., 2022). Most of these items will never be completed. Some have been there so long they no longer make sense. But they still occupy mental space.

The cost of an unmanaged task list is not missed deadlines. It is the feeling of being perpetually behind — even when nothing is actually due. The Zeigarnik effect (Zeigarnik, 1927) shows that incomplete tasks linger in working memory, demanding attention even when you are doing something else. Every unfinished item on your list is a small cognitive drain.

What the science says

The Zeigarnik effect

In the 1920s, psychologist Bluma Zeigarnik noticed that waiters in a busy restaurant could remember complex orders only until the food was delivered — at which point they forgot everything. She demonstrated experimentally that interrupted or incomplete tasks are remembered better than completed ones (Zeigarnik, 1927).

The implication is both liberating and troubling: your brain is designed to keep unfinished business front of mind. This was useful when unfinished business meant a half-built shelter. It is exhausting when unfinished business means 73 open tasks.

Decision fatigue and ego depletion

Making decisions consumes a limited resource. Baumeister and colleagues demonstrated this through a series of experiments (Baumeister et al., 1998): people who made a series of choices were subsequently less able to exert self-control, persist at difficult tasks, or make good decisions.

Every item on your task list that requires a decision — “should I do this now?”, “is this important?”, “what about this other thing?” — consumes a fraction of this resource. By the end of the day, you have less to give to the tasks that actually matter.

Vohs et al. (2008) extended this: the very act of choosing what to do next is depleting, regardless of whether the choice is trivial or significant.

Cognitive load theory

Sweller (1988) proposed that working memory has a limited capacity — roughly 3-5 items. When the number of active task items exceeds this capacity, performance degrades non-linearly. It’s not a little worse; it’s a lot worse.

Task lists that show everything at once are violating this principle. The user’s brain has to constantly page through irrelevant items to find the relevant ones, consuming attention that should go to the actual work.

Implementation intentions

Gollwitzer (1999) showed that specifying when, where, and how you will perform a task dramatically increases the likelihood of doing it. An implementation intention takes the form: “When situation X arises, I will perform response Y.”

This is the cognitive mechanism behind scheduling. A task with a scheduled time and day is not just organised — it is a commitment device that activates automatic triggering when the context arrives.

How Oter applies it

The Eisenhower matrix

Oter’s default task sort is by Eisenhower prioritisation — urgency crossed with importance. This is not arbitrary: it directly addresses decision fatigue. When tasks are pre-sorted by what matters and what is urgent, the user doesn’t have to decide “what should I do now?” — they just scan the top of the list.

The matrix also protects against urgency bias (Masicampo & Baumeister, 2011): the tendency to prioritise urgent but unimportant tasks over important but non-urgent ones. By keeping importance visible alongside urgency, the matrix counteracts this bias.

Smart date filtering

OterApp splits a task’s time into three independent fields (deadline, planned work date, and when it first appears in your view — described in the feature guide). The point of the split is cognitive load theory: a task that is due next month shouldn’t compete for attention with today’s work, even if it’s important. By letting tasks surface only when they’re relevant to the now, the visible list stays inside the brain’s working-memory budget.

Overdue detection without guilt

The “withOverdue” parameter surfaces overdue scheduled tasks — but only if you choose to see them. This is the progress over perfection principle: rescheduling is not failure. Missing a scheduled date is useful information, not a mark against you.

Subtask decomposition

Large tasks are overwhelming. The Zeigarnik effect means they occupy disproportionate mental space. Subtask decomposition addresses this by letting you break a large task into concrete, completable steps. Each completed subtask triggers a small dopamine release (linked to progress, not just completion — see Amabile & Kramer, 2011) and removes that item from working memory.

AI import

The AI import feature lets you paste free-form text (“buy groceries, call dentist, finish presentation by Friday”) and have it parsed into structured tasks. This reduces the friction of entry — if entering tasks is effortful, you won’t do it, and the list becomes a source of guilt rather than a tool.

Practical tips

• Use all three date fields. Due dates for deadlines. Scheduled dates for when you’ll actually work. Show-in-list-from for tasks that shouldn’t clutter today’s view.
• Trust the Eisenhower sort. If you find yourself ignoring the top of the list and scrolling to find something “easier”, notice that pattern. The task at the top is what matters.
• Break large tasks into subtasks. Anything that feels too big to start needs decomposition. Each subtask should take no more than a single session.
• Reschedule rather than delete. If a task keeps rolling over, that’s information — maybe it’s not important, or maybe it needs a different approach. Deleting it doesn’t resolve the underlying intention.
• Use the AI import weekly. A text dump of everything on your mind, parsed into tasks, clears mental clutter better than any manual entry.

References

Amabile, T. M., & Kramer, S. J. (2011). The Progress Principle: Using Small Wins to Ignite Joy, Engagement, and Creativity at Work. Harvard Business Review Press.

Baumeister, R. F., Bratslavsky, E., Muraven, M., & Tice, D. M. (1998). Ego depletion: Is the active self a limited resource? Journal of Personality and Social Psychology, 74(5), 1252–1265.

Gollwitzer, P. M. (1999). Implementation intentions: Strong effects of simple plans. American Psychologist, 54(7), 493–503.

Masicampo, E. J., & Baumeister, R. F. (2011). Consider it done? Plan making can eliminate the cognitive effects of unfulfilled goals. Journal of Personality and Social Psychology, 101(4), 667–683.

Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285.

Vohs, K. D., Baumeister, R. F., Schmeichel, B. J., et al. (2008). Making choices impairs subsequent self-control: A limited-resource account. Journal of Personality and Social Psychology, 94(5), 883–898.

Zeigarnik, B. (1927). Über das Behalten von erledigten und unerledigten Handlungen. Psychologische Forschung, 9, 1–85.