Twenty-nine research and development engineers at a company in the Netherlands kept a daily work diarydiary study: A study in which people record what they do or feel repeatedly, often daily or when prompted at random moments, close to when it happens; the prompted form is called experience sampling. It relies less on memory, but it is still self-report.Full entry in the glossary of the tasks they planned, rating how urgent and how important each one was, and then recorded which tasks they completed. Urgency went with getting a task done. Importance did not: the tasks they rated as more important were, if anything, less likely to be finished.¹

Urgency tends to win when work piles up, too. In six years of records from one US hospital’s emergency department, doctors took on easier patients as their workload rose, and once the complexity of the cases was counted, that habit went with less work done.²

So how to prioritize tasks when everything feels urgent comes down to three moves: sort by what delay would really cost, rank the rest by payoff for the time each takes, and fix the order before the next message arrives. Six steps:

1. Write down what a day’s delay would cost
2. Clear the few tasks whose cost is real and fixed
3. Break the rest into parts before you estimate
4. Rank by payoff per hour
5. Book the hard, valuable task before the easy wins
6. Tell people what moved, and when it will happen

Why everything feels urgent: the loud deadline and the quiet payoff

Everything feels urgent because a deadline is easy to see and a payoff usually is not. In the Dutch diary study, published in 2010, a task’s urgency and the priority people gave it went with getting it done that day, while tasks rated more important were completed less, not more.¹ The study was small, 878 tasks from engineers at one company, and it shows a pattern, not a cause.

A deadline arrives with a date, a sender and often a red flag. A payoff is a guess about the future: what the strategy paper will change, what the client proposal might win. When you scan a list, the date is the only number on the page, so it does the ranking for you.

Controlled experiments point the same way. A 2018 paper reporting five experiments found that people more often chose a task that paid less when it merely looked urgent,³ and an independent replication in 2026, run with new participants, found the pull smaller once confounds were controlled but still present.⁴ Those experiments, and why showing the payoff helps, are covered in our guide to ranking tasks by payoff before deadlines.

Picture a Monday: a finance request marked “today”, three chat pings and a calendar alert, while the plan your team needs by month’s end has no alarm at all. None of the alerts is lying. They are simply louder. The practical lesson is to make the quiet side just as visible, by writing next to every task what it is worth and what waiting would cost.

A heavy workload pulls you toward the easy tasks

When the queue gets long, people reach for work they can finish quickly. The researchers behind the hospital finding above, writing in Management Science in 2020, called this task completion preference, and it is the best field evidence on how workload bends our choices.²

The study

Moderate evidence

When the waiting room fills, doctors take the easier cases

Diwas KC and three colleagues traced the habit through the hospital’s records. Taking easier patients helped doctors keep their service times steady, and at first it even looked like more patients seen per shift. Once the records were adjusted for how hard each case was, the habit went with lower throughput and with slower learning. The team’s lab experiments found the same drift toward easy tasks under heavier load, driven by fatigue and by the feeling of progress people get from completing something.²

The appeal is easy to recognize. Finishing something feels like progress, and when you are tired, a small task also asks less of you. Ten short replies feel like a productive hour, even if the report that mattered did not move. The hospital data are observational and come from one hospital, so differences between shifts or between doctors may account for some of the link.

Radiologists showed a similar habit in a 2018 study of 2.4 million diagnoses. Because cases landed in each doctor’s queue at random, the researchers could estimate what the doctors’ own reordering cost, and skipping ahead to the cases they expected to finish fastest was particularly costly to productivity.⁵

The picture is not all one way, though. In online experiments with US workers, reported in a 2026 preprintpreprint: A research paper posted publicly before it has been peer reviewed or published in a journal; in economics and finance the same stage is usually called a working paper. Its findings may change, or fail to hold up, by the time it is published.Full entry in the glossary by Evgeny Kagan of Johns Hopkins University, people who picked easy jobs themselves did make more errors, but mostly because of who chose that orderself-selection: When the people in a study chose to take part, or chose the thing being studied, rather than being picked or assigned. Volunteers and choosers can differ from everyone else, so the result may not apply more widely or may reflect who chose rather than what they chose.Full entry in the glossary: when the experimenter imposed an easy-first order, errors fell. Workers were also more likely to cherry-pick easy jobs right after a new one arrived.⁶

Myth

Doing the easy tasks first is always a productivity mistake.

Fact

In 2026 online experiments with US workers (a preprint), an easy-first order imposed by the researcher cut errors. The extra errors came from the kind of worker who grabbed easy jobs.

So the lesson is not “never start small”. What the hospital data warn about is drift: under load, the hard and valuable work keeps sliding to later in the day, then to tomorrow. Choose the order while you plan, when nothing is pinging, and do not let the length of the queue or the latest message choose it for you. If you set the order for a team, one more detail from Kagan matters: an imposed easy-first order helped the weaker performers most, while a fixed order slowed down the ablest workers.⁶

Rank by what waiting costs for the time a task takes

A task is truly urgent when waiting makes it cost more: a penalty, a missed flight, a customer left stuck, colleagues who cannot move until you answer. Scheduling research turns that idea into a simple rule, credited to Wayne E. Smith in 1956: give each job a weight, divide by the time it takes, and do the highest ratio first.⁷ Read the weight as what the task is worth, or what each hour of waiting costs.

• Height: what the task is worth, or what waiting would cost
• Width: how long the task takes
• Order: the block that is tallest for its width goes first

The rule is proven to give the best order for a single machine working through a known list, measured as the weighted total of the times at which the jobs are finished.⁷ The reasoning is simple: every job that is still waiting keeps adding to that total, so a short, heavy job finished early stops its cost quickly, while a long job done first makes everything behind it wait. People are not machines, though, and nobody has tested the rule as a personal method, so use it as a way of thinking rather than a formula.

Here is an illustrative morning. A signature your colleague needs before a client call takes 15 minutes and unblocks their whole day. A proposal worth a lot takes 3 hours. Tidying slides for next week’s meeting takes an hour and changes little. By payoff per hour, the signature goes first, the proposal second and the slides last, though the slides probably felt the most urgent.

You rarely need exact numbers for this. Asking what each task is worth for its length is usually enough to spot the one that should jump the queue and the one that has been jumping it without earning the place.

How to prioritize tasks: a six-step triage for a crowded day

The whole triage fits on one sheet of paper and takes a few minutes. Steps 1 and 2 separate real urgency from noise, steps 3 and 4 rank what is left, and steps 5 and 6 protect the plan once the day starts pushing back.

1. Write down what a day’s delay would cost

List every open task, then write one line beside each: what happens if it waits a day. Be concrete: a fee, a blocked colleague, a lost customer, or nothing. Most “urgent” labels shrink here, because a deadline that can move without harm is a preference, not an emergency.

2. Clear the few tasks whose cost is real and fixed

Do first the tasks where delay causes a loss you cannot undo, such as a filing deadline with a penalty or a system that is down. Keep this group small and honest. If it holds more than you can finish today, the problem is capacity, and the list from step 1 is what to show your manager or client. Penalties and filing dates differ by country and by employer, so check the rules that apply to you rather than trusting the label on a reminder.

3. Break the rest into parts before you estimate

Payoff per hour needs a time estimate, and our own tasks usually take longer than we predict, the pattern known as the planning fallacyplanning fallacy: The tendency to underestimate how long your own tasks will take, even when you know similar tasks ran late before. Estimating from your track record on past tasks, rather than from the plan, tends to correct it.Full entry in the glossary. Spelling out a task’s parts before you estimate often lengthens the estimate, although a 2014 set of experiments with students in Italy and the UK found it depends on which parts you name: unusually long or early steps raised estimates, unusually short or late ones lowered them.⁸ Name the slow steps and the first steps, not only the easy ones.

4. Rank by payoff per hour

For each remaining task, give a rough payoff, high, medium or low, counting what waiting would cost, and set it beside the time from step 3. The tasks worth most for their length go first. Rough labels are enough: the aim is to stop the deadline from being the only thing you compare.

5. Book the hard, valuable task before the easy wins

Give the task with the biggest payoff a fixed block, ideally before the inbox, because heavy workload pulls attention toward whatever is easiest to finish.² Time blocking your workday shows how to protect that block. If you like to warm up with small tasks, decide how many and stop at a set time. An easy start was not harmful in itself in Kagan’s experiments.⁶

6. Tell people what moved, and when it will happen

For anything that slipped, send a short note with a new time. This step has not been tested on its own. A 2007 review of 32 time management studies, many of which were one-off surveys, linked time management habits to a greater sense of control over time and to less stress.⁹ When a request should not move at all, the guide to saying no at work covers the wording.

WiserHours

The triage, line by line

• One line per task: what a day of waiting would cost
• Only tasks with a real, fixed loss go first
• Big tasks broken into parts, slow and first steps included
• A rough payoff and time written next to each task
• The most valuable task booked in a fixed block
• A stopping time set for small tasks
• A short note sent for everything that moved

Find this checklist online:
https://wiserhours.com/time-management/prioritize-tasks/#checklist-prioritize-tasks-triage

The evidence behind each step, strongest first

The best evidence here describes the problem, how urgency and workload steer what people pick, more than it tests the fix. The randomized findings come from short lab and online tasks, and the payoff-per-hour rule rests on a mathematical proof rather than on studies of people.

The bottom line

When everything feels urgent, the deadline is doing your ranking for you. Take a few minutes to write what a day’s delay would really cost, do the few things where that cost is real, rank the rest by payoff for the time they take, and book the hard, valuable task before the easy ones fill the day.