r/ADHD: Community-Based Understandings of Time Management Challenges in Digital Environments

1 Introduction

• ADHD-related time-management challenges arise in digital environments designed to capture attention and can be intensified by platforms such as TikTok and YouTube.Members use “time blindness” for difficulties perceiving, estimating, and tracking time.Source: §1 · p. 1
• Existing HCI research often studies digital challenges and support tools separately, leaving community members’ accounts of both challenges and strategies, and their relationship, less understood.The paper asks which challenges members discuss, which strategies they propose, and how the two relate.Source: §1 · p. 2
• The study analyzes r/ADHD posts to examine members’ digital time-management challenges and proposed strategies as a basis for community-grounded design.The subreddit is described as having approximately two million members.Source: §1 · p. 2

2.1 ADHD and Time Management

• Digital environments can interrupt intended activity, displace tasks, and make disengagement difficult; ADHD-related inhibitory control, reward preference, time estimation, and emotion regulation may add demands.Tools that require resisting distraction, tracking time, and maintaining routines may depend on the regulation they aim to support.Source: §2.1 · pp. 2–3

2.2 Designing for ADHD Time Management Challenges: From Research Prototypes to Everyday Tools

• Research prototypes and commercial tools offer routines, prompts, timers, blockers, and platform controls, but sustained effectiveness evidence is limited and restrictive tools can block needed content.Adults with ADHD report difficulty finding tools that fit how they work.Source: §2.2 · pp. 3–4

2.3 Towards a Community-Based Understanding of Time Management Challenges

• Community accounts can reveal which digital time-management challenges members discuss, which strategies they propose, and how the two relate, informing where design frameworks may need extension [44].This perspective addresses concerns that ADHD technology research may frame difficulties as individual deficits to correct.Source: §2.3 · p. 4, §2.2 · p. 4

3.1 Dataset

• The dataset spans r/ADHD posts from January 1, 2020, to November 8, 2025, and keyword filtering yielded 20,185 candidate posts for relevance screening.The archive initially contained 815,506 posts; 459,095 remained after excluding deleted or removed posts.Source: §3.1 · p. 6

3.2.1 Relevance screening.

• Researchers retained posts describing time-management challenges caused by or directly shaped by digital technology, and relevance-coding agreement exceeded .80 after calibration.Posts describing strategies without a challenge were excluded because the difficulty and its relation to digital technology could not be established.Source: §3.2.1 · p. 6

3.2.2 Human codebook development.

• Researchers built the codebook from 60 posts through independent coding, three rounds of discussion and refinement, and inductive challenge codes alongside adapted strategy categories.Codes prioritized ADHD-connected experiences over general digital distraction.Source: §3.2.2 · p. 6

3.2.3 Theme development.

• Researchers grouped codes by conceptual relatedness and close reading, refining theme boundaries through discussion and distinguishing disengagement failure from task avoidance.Failed productivity-tool attempts were categorized as self-regulation strategy breakdown rather than as strategies.Source: §3.2.3 · pp. 6–7

3.2.4 LLM prompt development and codebook saturation check.

• An LLM screened an additional 500 posts for content outside the existing codebook; human review found no new codes or changes to the themes or subthemes.The team treated this as evidence of code saturation within the study’s scope.Source: §3.2.4 · p. 7

3.2.5 Reliability evaluation and LLM-assisted annotation of relevant posts.

• On the final 30-post benchmark, human–LLM agreement over post-level theme sets was α=.81 for challenges and .72 for strategies.Four of fourteen themes met the reporting rule for individual reliability estimates; their human–LLM agreement ranged from .64 to .90.Source: §3.2.5 · p. 7

3.2.6 Close reading and interpretation.

• Researchers used annotations as a retrieval index, then sampled 20 posts per theme, including less prevalent subthemes and boundary cases, for close reading and analytic memos.Reliability evaluation and prevalence reporting remained at the frozen-codebook level.Source: §3.2.6 · pp. 7–8

3.3 Ethical Considerations

• The study used public archival posts, excluded posts removed before archiving, reported prevalence in aggregate, and paraphrased excerpts to reduce traceability.The researchers collected no usernames, profile information, or posting histories, and stored the corpus on access-restricted university systems.Source: §3.3 · pp. 8–9

4.1.1 Digital task avoidance: putting off tasks until they feel urgent.

• Digital task avoidance was the most prevalent challenge: 3,706 posts (68.9%) described digital activity displacing intended tasks until urgency prompted action.Members also described scrolling as a way to temporarily relieve overwhelm.Source: §4.1.1 · pp. 9–10

4.1.2 Digital disengagement failure: losing track of time until hours pass.

• Digital disengagement failure appeared in 1,269 posts (23.6%), describing sessions without a specific task that continued until members noticed lost time.Use could begin automatically and continue past enjoyment, making transitions out of digital media difficult.Source: §4.1.2 · p. 10

4.1.3 Self-regulation strategy breakdown: tools stop working and add to the guilt.

• Self-regulation strategy breakdown appeared in 480 posts (8.9%), as tools lost novelty, demanded upkeep, or required the self-regulation they were meant to support.Reminders could provoke anxiety, and repeated dismissal could weaken confidence in a strategy.Source: §4.1.3 · pp. 10–11

4.1.4 Emotional consequences of time-management difficulties: lasting guilt and self-blame over lost time.

• Emotional consequences were the most prevalent challenge theme, appearing in 2,963 posts (55.1%) that described exhaustion, helplessness, guilt, and self-directed anger.Members described guilt and shame as both consequences of time-management difficulties and further obstacles to focus.Source: §4.1.4 · p. 11

4.2.1 Regulation recruited from other people: a person, unlike a reminder, cannot be dismissed.

• Members recruited other people for advice, validation, and accountability, with social co-regulation the most prevalent strategy theme at 3,789 posts (70.4%).Members described partners as helping them initiate and sustain tasks, while community responses offered advice and recognition.Source: §4.2.1 · pp. 12–13

4.2.2 Cognition moved out of the head: tools last when shared, separate, or visible.

• Members externalized cognition through shared or separate tools and built environmental constraints, including timers, visible plans, app limits, and physical distance from phones.They sought configurations that supported attention or reduced reliance on decisions made during distraction, although activating constraints could itself require self-control.Source: §4.2.2 · p. 13, §4.2.3 · pp. 13–14

4.2.4 Working on the self: self-directed strategies help and are easy to skip.

• Self-directed strategies included exercise, mindfulness, rewards, gamification, and ADHD education, while design proposals sought harder-to-override limits, supervision, and reminders that stayed salient.Members also wanted minimal tools that did not feel infantilizing; proposed features addressed difficulties with enforcing rules and sustaining attention to reminders.Source: §4.2.4 · p. 14, §4.2.5 · p. 14

4.3.1 Advice and recognition across challenges.

• Social co-regulation co-occurred with every challenge in 66–79% of its posts, while goal-advancement tools also appeared in breakdown accounts where tools themselves could be part of the difficulty.These co-occurrences describe what members discussed together, not whether a strategy addressed a challenge or worked.Source: §4.3 · p. 14, §4.3.1 · p. 15, §4.3.2 · p. 16

5 Discussion

• Tools meant to support self-regulation could lose usefulness through fading novelty, discouraging feedback, upkeep, or reliance on users, while members carried self-blame that made returning harder.Members described rotating among tools and revising strategies, suggesting continuity of useful support matters more than staying with one system.Source: §5 · p. 16, §5.3 · p. 18

5.1 Productivity feedback meant to motivate effort triggers guilt

• Feedback intended to motivate could instead reinforce guilt when members interpreted unfinished work or lost focus as evidence of personal failure.Some members defined success as noticing distraction sooner and returning to a task, motivating recovery-oriented feedback that has not yet been shown effective.Source: §5.1 · pp. 16–17

5.2 Digital media use as a default state: habitual entry and effortful exit

• Members described digital media as a habitual state that was easy to enter but effortful to leave, with awareness of session length sometimes arriving late.Their proposed responses included advance-set reminders or restrictions and mechanisms requiring movement away from the device, reducing reliance on in-the-moment decisions.Source: §5.2 · p. 17

5.3 Tool breakdown returns regulation to the user

• Tool breakdown often reflected fading novelty, discouraging feedback, upkeep, or user-dependent enforcement rather than technical faults, and members sometimes switched tools instead of repairing them.The authors frame self-management as trying, assessing, and revising strategies, with design attention to carrying useful task information across changes.Source: §5.3 · p. 18

5.4 The dual costs of failure: unfinished work and self-blame

• Lost work and sleep co-occurred with guilt, self-blame, and doubts about competence, and these emotional costs could make tasks and tools harder to return to.The authors argue that evaluations should assess task outcomes alongside self-blame, feelings toward tools, and willingness to return after difficulties.Source: §5.4 · p. 18

5.5 Design implication

• Members preferred interventions that were easy to activate but harder to dismiss, while retaining control over their purpose, strength, and override conditions.Greater reminder visibility may also make reminders more intrusive, so users should be able to adjust placement, duration, and repetition.Source: §5.5 · pp. 18–19
• Members envisioned digital supervisors that provide task tracking and check-ins when human support is unavailable, raising needs for trust, contestability, portability, and safe exit.The authors propose evaluating these systems for reliable support when self-regulation is difficult, not only for behavior change.Source: §5.5 · p. 19

Limitations

• The data are self-reported posts from one Reddit community, may overrepresent breakdown or success, and do not measure reported efficacy, durability, or abandonment behaviorally.The authors also cite Reddit participation differences, moderation, pandemic disruptions, excluded comments, and possible undetected promotion as limits on generalizability or tool visibility.Source: §6 · p. 19
• AI-generated or AI-assisted writing may influence the dataset, and detector flag rates are not verified estimates of AI authorship.The exploratory check flagged 0% of sampled posts in 2020–2023, 6% in 2024, and 21% in 2025; detector benchmark performance may not transfer to this corpus.Source: §6 · p. 19
• Only four of fourteen themes met the individual-reliability reporting rule, so aggregate agreement does not establish equally reliable identification of every theme.The authors call for a larger benchmark with adequate coverage of individual themes.Source: §6 · p. 20

Future Work

• Future research could study how recommendations are adopted and evaluate tools on task initiation, recovery, sustained usefulness, self-perception, and transitions between strategies.The authors also propose examining digital supervisors’ interruption timing, initiative, contestability, and user control, alongside ways to reduce the social burdens of accountability.Source: §6 · p. 20

7 Conclusion

• Members described difficulty starting intended tasks, disengaging from digital media, and sustaining support; tools could demand the self-regulation they were intended to reduce.Accounts motivate designs that reduce the work of sustaining support and evaluations that consider recovery after distraction and emotional costs alongside task outcomes.Source: §7 · p. 20

A Keywords Used for Filtering Related Posts

• Posts were filtered using digital and time-management keyword lists, and a post was retained only if it contained at least one term from each list.The filtering produced 20,185 candidate posts for relevance screening.Source: A Keywords Used for Filtering Related… · p. 25, Table 3 · p. 25

B Relevance Coding Rule

• The relevance rule treated a challenge as digital when technology was part of its source, context, or mechanism, and framed time management around goal-directed activity.Qualifying forms included goal–behavior mismatch, lost time awareness or compulsive use, task disruption, emotional consequences, and failed strategies.Source: B Relevance Coding Rule · p. 25

B.1 Inclusion Rules

• Inclusion rules required a specific digital contributor to a time-management challenge, but did not require advice-seeking, a proposed fix, or a long post.Posts reflecting on past struggles could qualify even if resolved, and a single qualifying clause could suffice.Source: §B.1 · p. 26

B.2 Exclusion Rules

• Posts were excluded when the challenge lacked a digital component, the digital element was only background, or the post was promotional or too diffuse to describe a specific challenge..Source: §B.2 · p. 26

C Codebook

• Three coders developed a codebook with five time-management challenge themes and nine strategy themes.The paper states that a figure presents the themes and subthemes.Source: C Codebook · p. 26

Challenge themes

• The listed theme labels include guilt about resting, guilt about not fulfilling potential, and drawing on a task’s own rewards.The supplied labels place the first two under challenge themes and the rewards item under strategy themes.Source: Challenge themes · p. 27

1. Digital disengagement failure

• Emotional responses include anger at the disorder and disappointment in oneself.Source: §1 · p. 27
• Disengagement is categorized as inability to stop ongoing screen sessions and reflexive device use without conscious intent.Listed forms include entertainment without a task in mind, self-described addictive use, and doomscrolling.Source: §1 · p. 27, §10 · p. 27
• Strategy codes include doing fun tasks, noticing dopamine after task completion, and arranging rewards after tasks.Source: §1 · p. 27

10. Design envisioning

• Members are coded as feeling helpless about bad digital habits, including not knowing what to do next.Source: §1 · p. 27, §10 · p. 27

5. Self-regulation strategy breakdown

• The listed responses also include proposing novel tools and failed attempts to restrict digital access.Source: §5 · p. 27, §11 · p. 27

2. Task-embedded digital interruption

• Internal-state practices include mental preparation, affirmations, mindfulness, outdoor activity, and exercise.Source: §2 · p. 27
• External alerts can prompt task-switching, and members may be unable to regain focus afterward.Source: §2 · p. 27
• Strategy breakdowns include failed disconnection and productivity-tool attempts, loss of motivation, and abandonment due to complexity.Source: §2 · p. 27
• Attention may also be captured without an external trigger, including by a nearby device during a task.Source: §2 · p. 27

• One code captures self-directed learning about ADHD.Source: §12 · p. 27
• Reading books about ADHD is listed as one form of that learning.Source: §12 · p. 27
• Watching YouTube videos is also listed as a form of self-directed ADHD learning.Source: §12 · p. 27

• Members' codes include avoiding intended tasks through passive videos, gaming, feed-scrolling, undirected phone use, and delaying bedtime by phone.Source: §13 · p. 27
• Social-support codes include shared accountability, seeking online-community advice or peer help, and validation through shared experiences.Source: §13 · p. 27
• Task-advancement strategies include to-do lists, schedules, small goals, focus sessions such as Pomodoro, and organizing tasks by difficulty.Source: §13 · p. 27

7. Sensory scaffolding

• Keeping motivation visible includes motivation posters or wallpaper and remembering one’s reasons.Source: §7 · p. 27
• Managing the auditory environment during tasks is presented as a sensory-support strategy.Source: §7 · p. 27
• The auditory subthemes distinguish a quiet environment from background sounds.Source: §7 · p. 27

8. Self-tracking

• Repeated self-regulation struggles are described as emotionally exhausting.Source: §8 · p. 27
• Monitoring one’s own time use is listed as a strategy.Source: §8 · p. 27
• Keeping motivation visible includes motivation posters or wallpaper and remembering one’s reasons.Source: §8 · p. 27

14. Digital friction engineering

• Members described reconfiguring devices to reduce interruptions, including separate work and entertainment accounts, notification controls, blockers, and phone locks.The listed strategies also include taking notes of distractions and tracking time spent on tasks.Source: §14 · p. 27
• The challenge labels include frustration with recurring struggles, overwhelm from excess input, and guilt over time perceived as misspent or lost.Source: §14 · p. 27

D.1 System Prompt

• The system prompt calls for faithful, auditable analysis grounded in direct quotes and prohibits inferring beyond the text.Source: §D.1 · p. 28

D.2 Phase 1 – Step 1: Relevance Screening Prompt

• Posts qualify when digital technology contributes to a time-management challenge; tools mentioned only as solutions or background do not establish relevance.Source: §D.2 · pp. 28–29

D.3 Phase 1 – Codebook-Matching Rules

• Coding uses only the provided closed codebook, selecting the closest fitting label and leaving a passage uncoded when none reasonably fits.Source: §D.3 · p. 30

D.4 Phase 1 – Step 2a: Challenge Coding Prompt

• The challenge-coding prompt separates problems from strategies and requires each challenge code to be supported by a verbatim quote.Emotion codes require an emotion word or close self-evaluation stem in the quote.Source: §D.4 · p. 30

D.5 Phase 1 – Step 2b: Strategy Coding Prompt

• The strategy-coding prompt codes actions, tools, habits, advice, and help-seeking only when they target digital time management.Strategies may be successful, unsuccessful, or aspirational.Source: §D.5 · p. 31
• Strategy coding included practices explicitly aimed at reducing or replacing digital use, required verbatim post evidence and codebook labels, and excluded general practices without a digital-time-use link.Source: §D.5 · p. 32

D.6 Phase 2 – System Prompt

• Cross-post consolidation judged sameness using code labels, descriptions, and evidence, assigned each instance to exactly one cluster, kept distinct mechanisms separate, and required verbatim codebook labels.Source: §D.6 · p. 32

D.7 Phase 2 – Corpus Synthesis Prompt

• Corpus synthesis clustered codes only when they shared a mechanism, assigned every input ID once, and labeled clusters with frozen codebook labels rather than invented ones.Source: §D.7 · p. 33

D.8 Phase 3 – System Prompt

• Phase 3 uses the same system prompt as the general coding procedure in Appendix D.1.Source: §D.8 · p. 33

D.9 Phase 3 – Theme Assignment Prompt

• Theme assignment mapped each challenge and strategy code separately to one primary theme from closed lists, without inventing themes or subthemes.Source: §D.9 · p. 34

E AI-Generated Content Check

• The AI-content check sampled 100 posts longer than 50 words per year from 2020–2025, flagged Pangram AI or Mixed classifications, and used 2020 through October 2022 as baseline; Table 4 reports yearly estimates.Source: E AI-Generated Content Check · p. 34, Table 4 · p. 34

F Heatmaps for Relationships between the Challenges and Strategies Discussed in r/ADHD

• The heatmaps cover social co-regulation subthemes alongside all challenge themes, and emotional-consequence subthemes across forms of social co-regulation.Figure 8 cells show the share of challenge-containing posts coded for each subtheme and are not mutually exclusive; Figure 9 addresses whether help-seeking forms arise in similar or distinct emotional contexts.Source: Figure 8 · p. 35, Figure 9 · p. 35