Monthly Screen Time Tracker

A client with ADHD has decided to reduce screen time but has no accurate sense of their current usage. Their phone's built-in screen time data exists but they find it demotivating and overwhelming to look at. They want to set realistic goals but are resistant to any target that feels arbitrary. Coaching focus is on habit formation and self-regulation.

Frame this as observation before intervention: 'Before we set any limits, we need to know what we are actually working with. This month is data collection only - no targets, no judgment.' The ADHD-specific failure mode with this tool is guilt-avoidance. If the client expects to see bad numbers, they will avoid tracking to avoid seeing them. Naming this upfront disarms the avoidance: 'The point of the first month is not to do better. It is to see clearly what you are actually doing.' The calendar format - one checkbox or symbol per day - is important because it does not require estimating or recall. Each day is binary: tracked or not tracked.

Watch for the tracker being filled in retrospectively rather than daily. The ADHD failure pattern with 30-day trackers is completing days 1-5, skipping days 6-12, and then trying to reconstruct the gap from memory. The retrospective reconstruction is nearly worthless as data. If you see long runs of identical marks followed by a gap, ask directly: 'Were those filled in daily or did you catch up at some point?' Use the gaps as data too: 'The week you stopped tracking - what was happening that week?'

Do not start with totals. Start with the shape of the month: 'Where did you track consistently, and where did tracking fall apart?' The interruption points are more informative than the averages. Then ask the client to identify two or three days they remember as high screen time days and see if the tracking correlates. If the client tracked honestly, there will be alignment. If not, there is a gap between self-perception and behavior worth exploring. End by asking: 'Given what this month looked like, what is a realistic goal for next month - not ideal, realistic?'

A client with ADHD who recently completed a digital detox program wants to maintain their progress over the following month. During the program, structure was provided externally. Now they are back in their normal environment and worried about drift. They remember how they felt during the program but cannot reliably recall day-to-day whether they have been meeting their intentions.

Position the tracker as an externalized working memory: 'You can not hold 30 days of decisions in your head. This does it for you.' ADHD working memory limitations mean that the client's sense of how they are doing is typically based on the last 2-3 days, not the actual month. The calendar format makes the full pattern visible in a way that memory cannot. Some clients coming out of structured programs feel they should not need external supports anymore. Address that directly: 'External structure is not a crutch. It is what makes consistent performance possible. Your detox program had it built in. This is how you build it yourself.'

Watch for the client setting daily targets that are too aggressive based on detox-program standards rather than real-life standards. A client who had zero recreational screen time during a detox program may set a 30-minute daily limit that is not sustainable in their actual life. When the limit gets broken once, shame enters and the tracking stops. Pre-frame this: 'Whatever daily intention you set, make it something you could actually hit on a day when your boss calls with an emergency and you are exhausted.'

Start with the weeks where the client hit their intention most consistently and ask what was different about those weeks. Look for structural factors rather than willpower factors - specific routines, environmental conditions, social accountability. Then look at the weeks where the intention broke down: 'What was different about that week?' Build a conditions map for success. End by asking what the client wants to continue doing, adjust, or add going into the next month.

A client with ADHD has successfully reduced screen time for two months but has noticed a pattern of relapse - weeks of good progress followed by a day or cluster of days with high screen use. They cannot identify what causes the relapses and want to break the cycle. Previous coaching sessions have identified stress and poor sleep as general contributors but the client wants to get more specific.

Reframe the tracker from a compliance tool to a pattern-detection tool: 'We are not using this to grade you. We are using it as a dataset for investigating the relapse pattern.' Ask the client to add a second data point alongside screen time - a simple 1-5 rating for stress level or sleep quality that day. The correlation between that second variable and the high-screen days will usually become visible within two weeks. The ADHD brain can use color-coding or symbols effectively here - different marks for different screen levels make patterns visible without requiring interpretation at the moment of entry.

Watch for the client logging stress levels as uniformly high - either genuinely, or as a way of explaining away screen use without examining specific triggers. If every day is 4-5 stress regardless of screen time, the stress variable is not differentiating. Push for specificity: 'What was happening the day before the relapse? What was happening the night before?' Also watch for the client identifying triggers accurately but having no response strategy - the trigger recognition is useful but incomplete without a competing behavior to insert.

Start with the relapse clusters: 'Looking at the month, where do the high-screen days fall? Are they isolated days or do they run together?' Isolated days suggest specific triggers; clusters suggest a recovery-from-trigger problem (after one high-screen day, the pattern continues). Then move to the precursor data: 'The day before your worst cluster this month, what did the stress rating look like?' Build the client's understanding of their own early warning signs. End with a concrete plan: if the client can identify 2-3 reliable precursors, they can create an if-then response that interrupts the chain before the relapse day arrives.