Finishing System 🏁

Evidence labels: Strong (meta-analyses or several consistent RCTs), Moderate (one good RCT or meta-analysis with caveats, or consistent experiments), Weak (small, lab-only, indirect or failed to replicate), Anecdotal (practitioner or book, or survey self-report). Bracketed numbers point to Sources. The access level for each source (full text or abstract only) is recorded in _sources-log.md. This is not a diagnosis.

1. Bottom line

1. One focus project at a time, plus at most one side project that is waiting on someone else. Everything else is parked with a written note. Indirect evidence: switch costs and attention residue [1][63], goal shielding [23], performance falls when people carry too many concurrent memberships [24][25]. Moderate, but not tested on solo multi-project people.
2. A 2-minute “stop note” every time you stop, saying where you are and the exact next action. Evidence: ready-to-resume plans [2], plans for unfinished goals [4][5], resumption cues [6][7]. Moderate.
3. If-then triggers tied to events, not to clock times [14][15]. Strong for if-then plans. Moderate for preferring event cues if your attention behaves like the ADHD samples [46][47].
4. Write progress down where you will see it [18]. Strong.
5. Batch notifications and email to about 3 times a day, and set phone limits [31][32][33]. Moderate.

The tool, One Lane, Event-Triggered: the calendar holds only what the outside world fixes plus a 15-minute Monday check, and everything else fires on events (stop, switch, stall, finish) or your energy, for about 60 minutes of upkeep a week.

2. Evidence table

3. Findings per question

Q1. Why the finishing gap?

• Immediate reward beats distant reward. People with ADHD discount delayed rewards more steeply: d=0.43 across 21 studies, no difference between children and adults, though publication bias is present [10]. Strong. In the general population, impulsiveness, distractibility and how aversive the task feels are among the strongest predictors of procrastination; sensation seeking is only weakly linked [11]. Strong, correlational, mostly students.
• The middle and the polish stretch feel flat. Effort rises as a goal gets close [12], but motivation can dip around the halfway point [13]. Weak to Moderate, consumer and lab studies.
• Switching has a cost even when it feels free. Switch costs shrink with preparation but never disappear [63]. Attention stays partly on an unfinished task, and the next task suffers [1]. Strong for simple lab switching [63]; Moderate for attention residue (two experiments with undergraduates [1]); only indirect evidence about whole projects.
• Zeigarnik is the wrong explanation. A 2025 meta-analysis found no memory advantage for unfinished tasks, but a reliable urge to resume them (about two-thirds resumed versus a 50% baseline) [3]. Moderate. Unfinished projects aren’t remembered better, but they do pull you back.
• What matters most with many projects: reward discounting combined with switching costs. New ideas pay off now, and every switch leaves residue behind.

Q2. Portfolio level

• No study says how many concurrent projects is too many for one person. The closest evidence is about team membership. R&D team performance is curvilinear, best at intermediate numbers of concurrent memberships [24]. Across 849 health-care units, more multiple-team membership meant worse performance, especially on complex tasks [25]. The theory points to competing demands on attention [26]. Moderate, teams, not individuals.
• Goal shielding: a committed focus goal suppresses competing goals, and that helps attainment [23]. Moderate, lab. This argues for one explicit focus project, not an equal-weight list.
• WIP limits and kanban have no individual-level evidence that I could verify. They are Anecdotal (practitioner). Stage-gating is also practitioner doctrine; your repo already does it.
• Parking works if the plan is specific. Writing a concrete plan for an unfinished goal removed its intrusive thoughts. A vague “later” did not, and the plan had to be meant [4]. Weak to Moderate, undergraduates, no replication found.

Q3. Task level

• If-then plans (“when X, I will Y”) work: d=.65 in the 2006 meta-analysis [14]. A 2024 update across 642 tests found substantial publication bias, a corrected effect around d=.35, and d=.27 for behaviour change [15]. Strong but modest. In children with ADHD, if-then plans brought response inhibition up to typical levels on a lab task [16]. I found no adult ADHD trial.
• WOOP (mental contrasting plus if-then) gives g=0.34, smaller after bias correction [17]. Moderate.
• Define “done” up front and track it visibly. Monitoring progress improves goal attainment (d=0.40), and more so when progress is physically recorded or reported [18]. Strong.
• Time-boxing and deadlines. The classic study showing self-imposed deadlines help was retracted in 2026 after a failed replication [20]. Don’t rely on it. Time-boxing remains practitioner advice (Anecdotal).
• Shrink the final stretch. Sub-goals help at the start by making the goal feel reachable. Near the end, focusing on the overall goal motivates more than sub-goals do [64]. Moderate, four lab and field experiments. So near the end, cut the Finish line rather than slicing it finer. Your own finish estimates will be optimistic. Anchoring them on how long past projects took removed the bias in one study of students [19].
• Structured skills programmes that teach planning and organisation help adults with ADHD: g≈.5–.65 versus controls [21], with clinician-led RCTs [22][62]. Strong to Moderate, diagnosed adults.

Q4. Interruption recovery

• Leave a cue for your future self. A suspended goal is recovered through a cue that is present both when you stop and when you return [6]. A few seconds of preparation before an interruption speeds resumption [7]. Moderate, lab.
• “Where I left off” notes (ready-to-resume plans) reduced attention residue in four studies, and performance on the interrupting task held up [2]. Moderate, four studies, one of them by the author of [1]. Only 10% of programmers’ sessions started editing within a minute, because context has to be rebuilt [9]. Weak to Moderate, observational.
• Shutdown rituals. The packaged ritual is Anecdotal. The mechanism is supported: an end-of-day where/when/how plan improved evening detachment, mainly for people who find it hard to detach [5][4]. Moderate, 103 employees; undergraduates.
• Interruptions mostly cost stress, not time [8]. Weak, n=48, mostly students. The popular “23 minutes to refocus” figure is not in that paper.

Q5. External structure

• Body doubling has no controlled outcome study. One survey of 220 neurodivergent people describes how they use it [27]. Anecdotal. It is cheap enough to try as an experiment.
• Accountability holds up only in one form: reporting progress raises the effect of monitoring [18]. Strong.
• Announcing an identity goal can backfire. Intentions that other people noticed were acted on less, as if being seen counted as progress [28]. Weak to Moderate, students. Report progress, not intentions.
• Commitment devices with stakes work in some field settings: smokers who put money on the line were 3 points more likely to have quit at 6 and 12 months, but only 11% took the offer [30]. A review separates hard commitments (money at stake) from soft ones [29]. Moderate, not tested on creative work.
• Public deadlines: see the retraction in Q3 [20]. Treat deadlines other people set as calendar anchors, not motivation hacks.

Q6. Environment and tooling

• Batch notifications to 3 times a day: people felt more attentive, productive and in control, and less stressed. Turning notifications off entirely raised anxiety [31]. Email 3×/day lowered daily stress [32]. Moderate, one RCT each, general adults.
• Friction and limits: letting people set their own future screen-time limits substantially cut use [33]. Moderate.
• Phone presence: the “brain drain” claim [34] shrinks to a small working-memory effect in meta-analysis. Weak.
• Workspace: open offices cut face-to-face interaction by about 70% [35]. Little is known for solo home workers.
• Do tools help? A review of 367 self-control apps catalogued their designs, not their efficacy [36]. Time-management training “does not automatically transfer” to performance [57]. In adult ADHD the impaired step is making the plan [48], and every new tool adds planning. Moderate inference: build on what you already use.

Q7. Cadence: is daily/weekly the right rhythm?

Daily planning: I found no accessible evidence in its favour. One older student study comparing daily with monthly plans (Kirschenbaum et al., 1981) is known, but I could not open it, so nothing here rests on it. A morning plan relies on what adults with ADHD do worst: time-based remembering [46] and up-front planning [48]. Weekly: one field experiment (208 employees) found that start-of-week planning reduced unfinished tasks and rumination [58]. Moderate. Time management in general correlates with wellbeing more than with performance [56]. Verdict: daily is a calendar default, not a finding. A short weekly check has thin but real support. Keep it small.

• Sub-daily. Fixed work/break cycles beat self-chosen breaks on fatigue and focus, with the same output (one study, students) [40]. Micro-breaks reduce fatigue but don’t improve cognitive performance [41]. The “90-minute ultradian work cycle” rests on tiny studies; one with n=10 found roughly 2-hour cycles [42]. Weak. Use breaks for energy, not as a schedule.
• Multi-day immersion. No direct evidence either way. The indirect evidence (residue, switch costs [1][63], team multiplicity [24][25]) favours fewer switches. Run it as an experiment, not as a finding.
• Longer cycles. Shape Up’s 6-week cycle with a 2-week cool-down is practitioner doctrine from one company [43]. Anecdotal. Fresh-start landmarks (new week, month, birthdays) reliably raise goal pursuit in archival data [44]. Moderate. They make good restart points but have not been tested as project-cycle boundaries.
• Event-triggered. If-then plans are event cues by design [14]. Adults with ADHD showed intact event-based memory but large impairments in time-based memory [46]. Children show the same pattern [47]. In the general population routine cues and clock cues work equally well [45]. Moderate; the best-supported option if your attention behaves like the ADHD samples.
• State and energy. Doing hard work at your peak time helps some people, mainly strong morning or evening types [65]. It appeared in only 45% of studies of 18–45-year-olds [49]. Moderate but inconsistent. Hyperfocus is more common with more ADHD traits [50] (self-report). The “interest-based nervous system” has no peer-reviewed test (Anecdotal). Use energy to pick which task, not whether to work.
• Time blindness. Barkley’s model is theory [51]. Time-perception deficits are Strong in children [52] but inconsistent in adults [53]. Discounting is the better-supported mechanism [10]. Vividly imagining the future (episodic future thinking) reduces discounting in general samples [54]. Moderate. That is why the Finish line below names a person who will see the result.
• Fixed anchors. Protected, predictable blocks held up in one consulting field case (98% adherence) [55] and one randomized calendar study [59]. Weak to Moderate, consultants and information workers. Anchors go on the calendar. Flexible time sits in the gaps as protected blocks that never “roll over” when missed.

Q8. Calendar and management systems

Q9. Where not to rely on the evidence

• “Dopamine detox/fasting”: no scientific support; critics call it unproven [39].
• “21 days to form a habit”: in a real-world study it took 18 to 254 days, and missing a single day didn’t derail it [37].
• Willpower as a fuel tank (ego depletion): a 23-lab replication found d=0.04 [38].
• Zeigarnik “open loops haunt memory”: not supported [3].
• Deadline studies by Ariely: retracted [20].
• “23 minutes to refocus”: not in the paper usually cited [8].
• 90-minute ultradian work blocks: tiny old studies [42].
• Phone “brain drain”: mostly null [34].
• “Interest-based nervous system”: no peer-reviewed test.
• Productivity and ADHD apps: designs reviewed, efficacy not shown [36].

When to see a clinician: if the distractibility goes back to childhood, shows up in several settings (work, home, money, relationships) and clearly interferes with daily life [61]. The best-evidenced skills programmes are clinician-led [21][22][62].

4. The management tool

Candidates compared

Recommended pick: A, borrowing from B and C

A is built from the best-supported pieces: a small WIP, cues left at every stop, event triggers and visible progress. It contains no step that fails if you miss a day. From B it keeps the one weekly element with a field experiment behind it [58], cut to 15 minutes. From C it borrows a cap on how long a stretch can run, shortened to 3 weeks because distant payoffs motivate weakly [10], and a short cool-down after each finish as an outlet for novelty (Anecdotal).

Cadence design

• Clock (only what the world forces): meetings, client bookings, your mother’s availability, application deadlines. Plus one 15-minute Monday check, because the outside world plans its commitments by the week and the week start is a fresh-start landmark [44][58]. The first Monday of each month extends it to a 30-minute pipeline sweep.
• Events: stop, interruption, new idea, stall, finish line reached, stretch cap hit. Each one fires a fixed small action (below). Your attention handles event cues better than clock cues [46], and a missed day fires nothing, so there is nothing to fall behind on.
• State: within a working stretch, energy picks the task from the focus project’s menu (hard thinking vs mechanical). Hyperfocus is allowed to run until the next anchor.

This beats a daily plan plus weekly review because it removes the daily plan, which has no accessible evidence behind it and leans on the weakest skill in the ADHD studies [48]. It also replaces “review everything weekly” with reviews that fire only when something actually happened.

Concrete setup (one-time: ~60 min, plus ~90 min for the project triage in §5)

1. Google Calendar. Create an Anchors calendar holding only externally fixed events. Add a recurring Monday check (15 min, first working hour). In the gaps, add 2–4 tentative Stretch blocks per week as protected time [59]. A missed Stretch is simply gone; it never moves or rolls over. Set a 10-minute alert before every anchor; that alert is your stop cue.
2. Repo. active/ holds at most two projects, Focus and Side. At the top of each, add:
   • ## Finish line: who will see or use it; 3 checkable criteria; an “out of scope / v2” list; the gate date (start + 3 weeks).
   • ## Resume here: the latest stop note.
   • ## Menu: tasks tagged 🔥 (high energy) or 🧊 (low energy).
3. Log. One file, raw/finishing-system/log.md, one line per session (format in §6). This is your visible progress record [18].
4. Phone and inbox. Use notification summary 3×/day and email 3×/day [31][32], with your own app limits [33].

A typical working stretch

1. Start (1 min): open Focus → read Resume here → check energy → pick a 🔥 or 🧊 item.
2. Work. If it’s flowing, keep going until the anchor alert. Take breaks when tired; there is no fixed timer.
3. Stop note (2 min): “Done: …. Next physical action: …. When I next open this, I will first ….” Then add the log line.

Triggers and time budget

Derailment protocol

• Missed day or week: do nothing to catch up. Missed Stretches are gone, not owed. Next time you sit down, read Resume here and do the first action. If 7 days have passed, the stall trigger fires: 10 minutes, not a re-plan. Missing a single day doesn’t break habit formation [37].
• Interruption: write a 30-second stop note (“next: …”) before you switch, even mid-sentence [2][7]. If you couldn’t, give yourself 5 minutes of re-reading on return. That ramp is normal [9] and counts as work time, not upkeep.
• Shiny new idea: capture it in raw/ with “revisit at next sweep”, which is a specific plan, not “someday” [4], and go back to work. At the sweep it can compete for the next Focus slot, never the current one.
• Bad week: the minimum viable system is stop notes only. If the Monday check is skipped, do a 5-minute version whenever you next sit down.
• Guilt: none is built in. “Skipped” is just a value in the log.

Finish gate

Write the Finish line when a stretch starts. Name a person who will see the result, which makes the payoff concrete [54], and pick criteria a stranger could check. At the gate, choose one:

• Launch: all criteria met → git mv to launched/, add an “Outcome” line, and move remaining polish to the v2 list. Polish beyond the criteria never blocks a launch. That is the 80% rule.
• Cut: cap reached, criteria not met → cut the criteria down to what’s done plus at most one more session, then launch.
• Park: blocked by someone else → back to exploring/ with a Resume note.
• Archive: no longer wanted → archived/ with a one-line lesson.

Each project gets one extension at most. Estimate stretches from how long past projects actually took, not from the plan [19] (students). After a Launch or Archive, take 1–3 cool-down days on anything you like (Anecdotal).

Fit with your tools

Nothing to install. Google Calendar holds Anchors, Stretches and the Monday check. active/ ≤ 2 is the WIP limit. Each project README holds its own Finish line, Menu and Resume note, so you don’t need a task app [36][48]. delulu-lab.space then shows your real pipeline.

5. Applied to your projects

active/ has six projects today, so it is three times over the limit.

• Quick-finish first (a triage week before the experiment): pocket-sudoku and brainstorm-tree each need one real-device or real-browser check, then a gate. daily-tasks is already “functional, in personal use”, so it is a Launch candidate even though it sits in raw/. elicitation-stack is “actively running”, so run the gate and decide whether the public summary counts as launched. Finishing four things in about four sessions uses the goal gradient [12] in your favour.
• Focus: CourtIQ Phase 1. Finish line: 04_normalize.py and 05_validate.py run, ≥15/20 situations PASS, output committed. Out of scope: positioning, the B2B dashboard. Why this one: your CourtIQ README lists Phase 1 as step 1 toward launch. The course, newsletter and junior-load ideas all build on CourtIQ’s methodology or its academy pitch, and it is the asset closest to your $250K solo-online goal. Publishing the ~8 finished Instagram pieces goes on its 🧊 menu.
• Side: kitchen-organizing. It is waiting on two outside inputs: your mother’s placeholder answers and the design exploration in design-handoff.md. It is event-triggered: when either one arrives, it gets a session. It is not parked, because a real person is involved.
• Pause → exploring/: rich-happy-goats-space. Write a Resume note first, recording the DNS state at Namecheap and where the Claude Design exploration stands.
• Park (one shared note, “revisit after the CourtIQ Phase 1 gate”): percentage-tennis-course, percentage-tennis-newsletter and junior-training-load all build on CourtIQ. tennis-league-ops is standalone but unvalidated and in the same domain, so park it too and judge it at a sweep.
• Leave parked: kindle-newsletter-digest (the design is settled, so it is a good next Focus), human-business-project, money-buckets, wine-app. funding-options is a reference note, not a project.
• Archive at the first sweep: rowing-platform. Its own README says it is only worth reviving with a live audience.

6. A 2-week experiment

Design. First, a triage week that isn’t scored: do the quick finishes, pauses and parks from §5 and write CourtIQ Phase 1’s Finish line. Then both arms work on the same Focus with the same Finish line, so both can tick criteria and pass gates. Week 1 = baseline (B): a 10-minute morning plan with time blocks and a 45-minute Friday review. Week 2 = the system (A). The order is still a confound, since practice favours week 2. If the result is close, repeat with the order swapped. One week per arm, with one person, gives a direction, not proof.

Daily log line (log.md): date | arm | worked y/n | system used y/n/partial | upkeep min | projects touched | resume min (sitting down → first real action) | criteria ticked | ideas captured / started.

Measure per week: Finish-line criteria ticked and gate passes (items taken from 80% to done), days the system survived out of working days, upkeep minutes, median resume time, projects touched, and ideas parked versus started.

Change course if:

• System abandoned for ≥3 consecutive working days → drop to stop notes plus Monday and rerun a week.
• Upkeep > 90 min/week → fold the stall reviews into the Monday check.
• Few criteria ticked in both arms → the problem is scope, not cadence; halve every Finish line.
• Baseline beats A on both criteria ticked and survival → adopt the baseline. The evidence for A is not strong enough to override your own data.
• A survives ≥4 of 5 working days, upkeep ≤ 70 min, and ticks at least as many criteria as B → keep it for a 4-week block, then re-measure.

7. Open questions

1. What are your fixed anchors in a typical week: day-job hours, meetings, your mother’s availability, client bookings?
2. When are you most focused: morning, evening, or does it vary? That decides where Stretches go and whether energy matching is worth testing.
3. What usually pulls you off a project: a new idea, someone else’s request, boredom at the midpoint, or a blocker?
4. Do you agree CourtIQ Phase 1 should be Focus, with the kitchen launch as Side until your mother’s inputs and the design direction arrive?
5. Does elicitation-stack count as launched now, or is a public deliverable still missing?
6. Is there a person or co-working setup you would try body doubling with? It is cheap, though unproven.
7. For each active project, what does “80% quality I’d be satisfied with” look like? Those answers become the Finish lines.

Sources

Links point to the page read or to the DOI. The access level for each (full text or abstract only) is in _sources-log.md.

1. Leroy (2009). Why is it so hard to do my work? Organizational Behavior and Human Decision Processes 109:168–181. https://ideas.repec.org/a/eee/jobhdp/v109y2009i2p168-181.html
2. Leroy & Glomb (2018). Tasks interrupted. Organization Science 29:380–397. https://doi.org/10.1287/orsc.2017.1184
3. Ghibellini & Meier (2025). Interruption, recall and resumption: meta-analysis of Zeigarnik and Ovsiankina effects. Humanities & Social Sciences Communications. https://colab.ws/articles/10.1057/s41599-025-05000-w
4. Masicampo & Baumeister (2011). Consider it done! JPSP 101:667–683. https://users.wfu.edu/masicaej/MasicampoBaumeister2011JPSP.pdf
5. Smit (2016). Successfully leaving work at work. J Occupational and Organizational Psychology. https://doi.org/10.1111/joop.12137
6. Altmann & Trafton (2002). Memory for goals. Cognitive Science 26:39–83. https://doi.org/10.1016/s0364-0213(01)00058-1
7. Trafton, Altmann, Brock & Mintz (2003). Preparing to resume an interrupted task. IJHCS 58:583–603. https://doi.org/10.1016/s1071-5819(03)00023-5
8. Mark, Gudith & Klocke (2008). The cost of interrupted work. CHI. https://ics.uci.edu/~gmark/chi08-mark.pdf
9. Parnin & Rugaber (2011). Resumption strategies for interrupted programming tasks. Software Quality Journal. https://doi.org/10.1007/s11219-010-9104-9
10. Jackson & MacKillop (2016). ADHD and monetary delay discounting: meta-analysis. Biol Psychiatry CNNI. https://europepmc.org/article/MED/27722208
11. Steel (2007). The nature of procrastination. Psychological Bulletin 133:65. https://doi.org/10.1037/0033-2909.133.1.65
12. Kivetz, Urminsky & Zheng (2006). The goal-gradient hypothesis resurrected. J Marketing Research. https://doi.org/10.1509/jmkr.43.1.39
13. Bonezzi, Brendl & De Angelis (2011). Stuck in the middle. Psychological Science. https://doi.org/10.1177/0956797611404899
14. Gollwitzer & Sheeran (2006). Implementation intentions and goal achievement: meta-analysis. Adv Exp Soc Psych 38. https://doi.org/10.1016/s0065-2601(06)38002-1
15. Sheeran, Listrom & Gollwitzer (2024/2025). The when and how of planning: 642 tests. European Review of Social Psychology 36:162–194. https://doi.org/10.1080/10463283.2024.2334563
16. Gawrilow & Gollwitzer (2008). Implementation intentions facilitate response inhibition in children with ADHD. Cognitive Therapy and Research 32:261–280. https://doi.org/10.1007/s10608-007-9150-1
17. Wang, Wang & Gai (2021). Meta-analysis of MCII. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2021.565202
18. Harkin et al. (2016). Does monitoring goal progress promote goal attainment? Psychological Bulletin 142. https://europepmc.org/article/MED/26479070
19. Buehler, Griffin & Ross (1994). Exploring the planning fallacy. JPSP 67:366. https://doi.org/10.1037/0022-3514.67.3.366
20. Hyndman & Bisin (2026). Replication of “Procrastination, deadlines, and performance”. Psychological Science. https://europepmc.org/article/MED/42456006 · Retraction notice (2026): https://europepmc.org/article/MED/42684323
21. Knouse, Teller & Brooks (2017). Meta-analysis of CBT for adult ADHD. J Consulting and Clinical Psychology. https://doi.org/10.1037/ccp0000216
22. Solanto et al. (2010). Meta-cognitive therapy for adult ADHD. American Journal of Psychiatry. https://doi.org/10.1176/appi.ajp.2009.09081123
23. Shah, Friedman & Kruglanski (2002). Goal shielding. JPSP 83:1261. https://europepmc.org/article/MED/12500810
24. Bertolotti, Mattarelli, Vignoli & Macrì (2015). Multiple team membership and team performance. Research Policy 44(4). https://econpapers.repec.org/article/eeerespol/v_3a44_3ay_3a2015_3ai_3a4_3ap_3a911-924.htm
25. Crawford, Reeves, Stewart & Astrove (2019). Multiple team membership and unit performance. J Applied Psychology. https://doi.org/10.1037/apl0000381
26. O’Leary, Mortensen & Woolley (2011). Multiple team membership. Academy of Management Review. https://doi.org/10.5465/amr.2009.0275
27. Eagle, Baltaxe-Admony & Ringland (2024). An investigation of body doubling with neurodivergent participants. ACM TACCESS. https://doi.org/10.1145/3689648
28. Gollwitzer, Sheeran, Michalski & Seifert (2009). When intentions go public. Psychological Science. https://europepmc.org/article/MED/19389130
29. Bryan, Karlan & Nelson (2010). Commitment devices. Annual Review of Economics. https://doi.org/10.1146/annurev.economics.102308.124324
30. Giné, Karlan & Zinman (2010). A commitment contract for smoking cessation. AEJ: Applied Economics 2(4):213. https://doi.org/10.1257/app.2.4.213
31. Fitz et al. (2019). Batching smartphone notifications can improve well-being. Computers in Human Behavior 101:84–94. https://www.prosocialdesign.org/citations/batching-smartphone-notifications-can-improve-well-being
32. Kushlev & Dunn (2015). Checking email less frequently reduces stress. Computers in Human Behavior. https://www.interruptions.net/literature/Kushlev-ComputHumBehav15.pdf
33. Allcott, Gentzkow & Song (2022). Digital addiction. American Economic Review. https://doi.org/10.1257/aer.20210867
34. Parry (2023). Meta-analysis of the “brain drain effect”. Media Psychology. https://doi.org/10.1080/15213269.2023.2286647
35. Bernstein & Turban (2018). The impact of the “open” workspace on human collaboration. Phil Trans R Soc B. https://europepmc.org/article/MED/29967303
36. Lyngs et al. (2019). Self-control in cyberspace: review of digital self-control tools. CHI. https://kclpure.kcl.ac.uk/portal/files/105313743/Lyngs2019preprint_jan_30_1.pdf
37. Lally et al. (2010). How are habits formed. European Journal of Social Psychology. https://doi.org/10.1002/ejsp.674
38. Hagger et al. (2016). Multilab preregistered replication of ego depletion. Perspectives on Psychological Science. https://europepmc.org/article/MED/27474142
39. Desai et al. (2024). Literature review on dopamine fasting. Cureus. https://europepmc.org/article/MED/38966464
40. Biwer et al. (2023). Pomodoro vs self-regulated breaks. British Journal of Educational Psychology. https://cris.maastrichtuniversity.nl/en/publications/understanding-effort-regulation-comparing-pomodoro-breaks-and-sel/
41. Albulescu et al. (2022). Micro-breaks meta-analysis. PLoS ONE. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0272460
42. Hayashi, Sato & Hori (1994). Ultradian rhythms in task performance. Perceptual and Motor Skills. https://europepmc.org/article/MED/7870505
43. Singer. Shape Up (Basecamp). https://basecamp.com/shapeup/2.2-chapter-08
44. Dai, Milkman & Riis (2014). The fresh start effect. Management Science 60(10). https://anderson-review.ucla.edu/wp-content/uploads/2021/03/Dai-Milkman-Riis_FreshStartEffect_2014_Mgmt_Sci.pdf
45. Keller et al. (2021). Routine- vs time-based cue planning RCT. British Journal of Health Psychology. https://europepmc.org/article/MED/33405284
46. Altgassen, Kretschmer & Kliegel (2014). Prospective memory in individuals with ADHD. J Attention Disorders. https://europepmc.org/article/MED/22660916
47. Talbot, Müller & Kerns (2018). Prospective memory in children with ADHD: review. Clinical Neuropsychologist. https://europepmc.org/article/MED/29065807
48. Fuermaier et al. (2013). Complex prospective memory in adults with ADHD. PLoS ONE. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0058338
49. Chauhan et al. (2025). Chronotype and synchrony effects: systematic review. Chronobiology International 42(4). https://europepmc.org/article/MED/40293205
50. Hupfeld, Abagis & Shah (2019). Hyperfocus in adult ADHD. ADHD Attention Deficit and Hyperactivity Disorders. https://doi.org/10.1007/s12402-018-0272-y
51. Barkley (1997). Behavioral inhibition, sustained attention, and executive functions. Psychological Bulletin 121:65. https://europepmc.org/article/MED/9000892
52. Zheng, Wang, Chiu & Shum (2022). Time perception deficits in children and adolescents with ADHD: meta-analysis. J Attention Disorders 26(2). https://europepmc.org/article/MED/33302769
53. Mette (2023). Time perception in adult ADHD: review. IJERPH 20:3098. https://europepmc.org/article/MED/36833791
54. Rung & Madden (2018). Experimental reductions of delay discounting. J Experimental Psychology: General. https://europepmc.org/article/MED/30148386
55. Perlow & Porter’s predictable time off at BCG, as reported by Knowledge at Wharton (secondary). https://knowledge.wharton.upenn.edu/article/remaking-the-workplace-one-night-off-at-a-time/
56. Aeon, Faber & Panaccio (2021). Does time management work? PLoS ONE. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0245066
57. Claessens, van Eerde, Rutte & Roe (2007). A review of the time management literature. Personnel Review. https://research.tue.nl/en/publications/a-review-of-the-time-management-literature/
58. Uhlig et al. (2023). Field experiment on weekly planning behaviour. J Occupational and Organizational Psychology. https://europepmc.org/article/MED/38515981
59. Das Swain et al. (2023). Focused time saves nine. CHI. https://doi.org/10.1145/3544548.3581326
60. Heylighen & Vidal (2008). Getting Things Done: the science behind stress-free productivity. Long Range Planning. https://researchportal.vub.be/en/publications/getting-things-done-the-science-behind-stress-free-productivity
61. NIMH. Attention-deficit/hyperactivity disorder. https://www.nimh.nih.gov/health/topics/attention-deficit-hyperactivity-disorder-adhd
62. Safren et al. (2010). CBT vs relaxation for medication-treated adults with ADHD. JAMA. https://doi.org/10.1001/jama.2010.1192
63. Monsell (2003). Task switching. Trends in Cognitive Sciences. https://europepmc.org/article/MED/12639695
64. Huang, Jin & Zhang (2017). Step by step: sub-goals as a source of motivation. OBHDP 141:1–15. https://ideas.repec.org/a/eee/jobhdp/v141y2017icp1-15.html
65. May, Hasher & Healey (2023). For whom (and when) the time bell tolls: chronotypes and the synchrony effect. Perspectives on Psychological Science. https://europepmc.org/article/MED/37369064