Rate your six sensory inputs daily and build an overload predictor that tells you when you are approaching your limit — before you crash through it.
By 4 PM the fan noise is suddenly unbearable, the lights feel like an interrogation, and you snap at someone who did nothing wrong. You tell yourself you are just in a mood. You are not — you crossed a line your nervous system crosses on a schedule. The same mix of a loud room, a heavy social day, and hours of screen time lands you at the exact same breaking point every time, and you almost never see it coming. The ADHD Sensory Overload Audit makes that line visible so you can stop before you hit it instead of cleaning up after.
Every day you rate six sensory load inputs: Light intensity, Sound and noise, Social demands, Crowding and busyness, Screen and digital load, and Physical demand. Each is rated on a manageable scale. The tool adds them into a daily sensory load score, tracks your average over 30 days, and — after three or more entries — begins building a personal overload predictor that identifies which combinations of inputs most reliably push you toward your limit.
Six sensory inputs and why each one matters separately
Rating six inputs rather than one aggregate score is the core design principle of the audit. Sensory overload is not one-dimensional. A quiet work-from-home day with heavy screen load hits different than a quiet office day with low screen use. A crowded environment with low social demands is different from a quiet environment with intense one-on-one social demands. Collapsing all of it into one number loses the diagnostic resolution you need to know what to do about it.
Light intensity matters particularly for ADHD adults who are photosensitive — bright overhead lighting, white-heavy screens, and high-contrast visual environments all contribute to nervous system load. Sound and noise is perhaps the most commonly identified sensory stressor: background conversations, unpredictable sounds, and continuous ambient noise raise cognitive load in ways that are difficult to compensate for. Social demands includes both the quantity of social interactions and their emotional intensity — a day with five routine professional meetings is different from a day with one high-stakes emotional conversation.
Crowding and busyness captures physical density in your environment. Screen and digital load tracks your total screen exposure — not just work screens but all digital stimulation including phone time. Physical demand rounds out the six, covering physical exertion and the body's stress response from it.
The overload predictor: what it surfaces after 30 days
After you log three or more audits, the tool begins building a personal baseline and overload predictor. After 30 entries, it has enough data to show you which specific input combinations most reliably precede your highest-load days and your worst recovery periods. This predictor is entirely personal — the same combination that pushes one ADHD person to overload might be entirely manageable for another.
The predictor becomes practically useful when you can use it prospectively: looking at an upcoming day and seeing that it involves three of your highest-load inputs, then making decisions to reduce one or two of them before the day happens rather than recovering from the crash afterward. This shifts sensory management from reactive to preventive, which is the difference between managing overload after it happens and not reaching overload at all.
The three-entry minimum note in the tool is important: the predictor cannot be personalized without data. The first three entries are baseline-building. The next ten are pattern detection. The entries after that are where the predictions start to carry enough specificity to act on.
Average load and overload days: reading your 30-day picture
The Avg Load (30d) metric shows your average daily sensory load across the last month. A rising average suggests your environment or schedule has become more demanding over that period. A stable average with frequent overload days suggests your threshold is lower than the average implies — you are hitting overload on days that look moderate on aggregate but include specific high-load inputs.
Overload Days shows how many days in the tracked period you logged a score high enough to qualify. The threshold is set based on your personal baseline data rather than a universal number, because a score that represents overload for one person might be a normal high day for another. This calibration is what makes the predictor meaningful rather than generic.
The Top Trigger stat identifies the sensory input that most frequently appears at its highest rating on your highest-load days. For most ADHD adults, this turns out to be more specific than they expected — not 'I am just an overwhelmed person' but 'Social demands at high intensity are consistently the input that pushes me past my threshold, regardless of what else is happening.'
Recovery actions: what the tool recommends based on your score
High-load audit days generate targeted recovery action suggestions based on which inputs were highest. A high Sound and noise score points toward quiet recovery time. A high Social demands score points toward alone time without social obligations. A high Screen and digital load score points toward analog activities, time outside, or simple tasks that do not require screens.
The recovery actions are not prescriptive medical advice. They are pattern-matched suggestions based on your specific load profile for the day. The tool does not know what your life permits. But having a specific recommendation — rather than a vague feeling that you need to rest — makes recovery planning more actionable, especially for ADHD adults who tend to reach for high-stimulation activities as rest even when their nervous system needs lower stimulation.
The optional notes field and the context that enriches the data
The 'Anything notable today?' optional notes field is deliberately low-pressure. It is not a journal requirement. It is an invitation to add context that might explain a rating pattern. A brief note — 'difficult family call at 4 PM,' 'worked in a coffee shop all day,' 'started new medication this week' — can be enormously useful when you review your Trends data three weeks later and try to understand why that week's overload days clustered the way they did.
Even a one-word note is more useful than no note. The context that feels obvious on the day it happens tends to disappear when you look at aggregate data without it. This is the same principle as journaling for pattern recognition, applied minimally enough that the habit is sustainable. Log 3+ entries to unlock your personal overload predictor — start now, no account needed, and a free trial saves your history.
How to use it
- At the end of each day, rate each of the six inputs: Light intensity, Sound and noise, Social demands, Crowding, Screen load, and Physical demand.
- Add an optional note for any context that explains unusual ratings — a specific stressor, a change in environment, or an event that affected the day.
- Mark the day as Manageable or indicate overload level if the total score felt above your typical threshold.
- After 3 entries, check the overload predictor to see which input combinations are beginning to pattern.
- Review the Trends tab every 2 weeks to track your average load and identify rising patterns before they become chronic.
Who it's for
- Remote worker who crashes every Friday afternoon — Logs audits for three weeks. Trends tab shows Friday Screen and digital load averages are 35% higher than any other day of the week, and Social demands are spiking due to week-end catch-up calls. Moves two Friday calls to Thursday. The Friday crash disappears.
- ADHD parent managing school events and work simultaneously — Identifies Crowding and Social demands as the consistent Top Trigger combination. School events that involve both register as the highest-load audits by far. Builds in a 90-minute solo recovery window after each school event. Overload frequency drops by half.
- Creator working in a shared office with variable noise levels — Sound and noise score is the top trigger. Average load is 15 points higher on days in the shared office versus working from home. Switches to home-first for creative sessions and shared office for calls and meetings only. Average load drops to near-home levels.
- ADHD adult tracking overload to share with a psychiatrist — Uses the 30-day average and overload day count as data points in a medication review conversation. The pattern data replaces anecdotal 'I feel overwhelmed a lot' with specific frequency, input profiles, and trend direction.
Key terms
- Sensory load
- The cumulative intensity of sensory and social inputs on a given day. ADHD-associated sensory sensitivity means the same inputs carry higher load for some people than for others.
- Overload threshold
- The personal sensory load level above which cognitive function, emotional regulation, and physical comfort deteriorate noticeably. Different for every person and affected by sleep, stress, and nervous system state.
- Overload predictor
- The pattern-detection function that identifies which input combinations reliably precede your highest-load days. Requires at least 3 entries to activate and becomes more accurate with more data.
- Recovery action
- A suggested activity targeted to the specific inputs that drove a high-load day. Matched to your audit profile rather than generic rest recommendations.
Frequently asked questions
Is sensory overload the same as sensory processing disorder?
They overlap but are not identical. Sensory processing difficulties are common in ADHD and are related to how the brain filters and prioritizes sensory input. The audit tracks your daily load level and pattern without making a diagnostic claim. The data you collect is useful for understanding your personal thresholds and discussing them with a provider, not for self-diagnosis.
What does 'Manageable' mean in the audit rating?
Manageable means the day's total sensory load was within your typical range — not a low-load day, but not a day that pushed you past your comfortable threshold. You can still function, focus, and engage. The distinction between Manageable and overload days is the primary binary the predictor uses to build your threshold profile.
How do I rate 'Social demands' if I did not have social interactions today?
Rate it at the low end of the scale — the absence of social demand is itself a data point, and a consistent pattern of low social demand correlating with lower total load is useful information. If you had a day with no social interactions but high social anxiety about anticipated interactions, rate the anxiety component rather than actual interactions.
My overload predictor says I need 3 more entries. What should I rate if my loads are all low today?
Rate what is actually true for today, even if the loads are low. Low-load days are as important for calibrating your baseline as high-load days. A predictor built only on high-load entries will not know what your normal looks like and cannot accurately identify overload as distinct from typical high-load days.