Weekly Sleep and Energy Log

A client with ADHD who is a regional sales manager consistently attributes his afternoon performance crashes and missed follow-ups to being tired, but cannot say more specifically what is happening with his sleep. He estimates he gets 'around seven hours' but his actual pattern is variable and he has no data. He and his coach have been working on focus and task completion for six weeks with limited progress. The hypothesis is that inconsistent sleep is amplifying his symptoms enough to undercut every strategy they build. The tracker is needed to test that hypothesis.

Frame this as reflective work, not a habit intervention: 'Before we add more strategies on top of what we've been building, I want to know if sleep is the variable that's making everything else harder. Seven hours average could be six nights of six hours and one night of nine. That pattern is very different from seven consistent nights. The tracker tells us what's actually happening.' Keep the commitment simple: two minutes per day, logged the moment he wakes up. Bedtime is written in his phone alarm; wake time and energy are added to the tracker immediately, before he gets out of bed. Remove any step that requires remembering to track later.

Watch for the client logging energy as consistently 3 out of 5 regardless of actual sleep quality - a tendency to normalize and not notice variation. If his ratings are flat across the week, ask about specific days: 'You rated Thursday a 3. What happened Thursday afternoon - any performance issues, any task you meant to do and didn't?' The behavioral evidence often reveals energy variation the self-rating does not capture. Also watch for him sleeping in significantly on weekends - the tracker should reveal whether weekend recovery sleep is creating a Sunday-night reset that undermines Monday.

Calculate the weekly average with him in session: 'Your average is 5.8 hours. You estimated seven. What do you make of that gap?' The discrepancy between his estimate and the data is often more motivating than any coaching argument about sleep importance. Then look at the correlation: 'On the days you got at least seven hours, what was your energy rating? On the days under six hours?' If the correlation is clear, the data makes the case for prioritizing sleep without requiring any persuasion.

A client with ADHD who is a nonprofit development director wants to track her sleep but has a consistent pattern with self-tracking tools: she completes them for three to five days, misses one day, feels guilty, and abandons the tracker entirely. This has happened with habit apps, mood journals, and a previous sleep log attempt. She is interested in the Weekly Sleep Tracker but skeptical that this time will be different. The coaching focus is on the executive function failure in the tracking habit, not the sleep data itself.

Name the pattern before she starts: 'The three-to-five-day cliff is predictable with ADHD. A missed log day feels like failure and triggers the abandonment. That's not a willpower problem - it's how the a person processes broken streaks. So we're going to design for it: when you miss a day, the rule is fill in what you can remember and move forward. A partial row is worth more than a blank row, and a blank row does not erase the completed rows.' Also address the when: the tracker instruction says 'fill in bedtime and wake time the moment you wake.' Build that into an existing morning anchor - the moment her alarm goes off, before she checks her phone, she writes two numbers. Not a routine. Two numbers.

Watch for the client returning the following week with a fully completed tracker and describing it as 'easy.' This often means the energy ratings are being filled in from memory at the end of the week rather than in the moment, which makes them unreliable. Ask: 'When did you fill in the energy ratings?' The mid-morning rating requires a separate trigger from the wake-time entry. If both are happening at the same time (morning), the energy data is estimating rather than recording. Also watch for the guilt response when a day is missed - the abandonment decision often happens within minutes of noticing the gap.

After one week, do not start with the data. Start with the process: 'How many days did you actually record in the moment versus fill in later from memory?' This is the calibration conversation. A partially accurate tracker is more useful than a fully complete but unreliable one. Once you know what the data represents, look at the weekly averages - not to judge, but to ask: 'Does this match how you experienced this week? What surprised you?' The reflection questions at the bottom of the tracker are designed for this exact conversation.

A client with ADHD who is a chief operating officer has a meeting-heavy schedule that she cannot fully control but can partially influence. She knows she performs better on some days than others but schedules important board presentations, difficult personnel conversations, and strategic planning sessions without reference to her energy patterns. After three weeks of sleep tracking, she has data showing a consistent pattern: Tuesdays are reliably high-energy, Fridays are reliably low, and the energy level correlates strongly with the previous night's sleep. The coaching focus is using this data to make scheduling decisions that match cognitive demand to capacity.

This scenario uses completed tracker data as its input. Frame the session as a translation: 'You have three weeks of data showing when you are most and least functional. Now we're going to see whether your calendar matches that pattern or fights against it.' Pull up her tracker and her calendar side by side. Ask her to identify three upcoming high-stakes events and check when they land relative to her energy pattern. The goal is not to reschedule everything but to identify one or two adjustments that would put difficult decisions on high-energy days and protect low-energy days from demanding contexts.

Watch for the client treating the energy pattern as destiny rather than information - 'Fridays are always low so I can't do anything important on Fridays.' The tracker reveals a pattern, not a fixed rule. A Friday after an unusually good Thursday sleep may be a 4 out of 5, not a 2. Teach her to check the previous night's data as a same-morning calibration tool, not just to look at weekly trends. Also watch for her calendar being so externally controlled by others that the scheduling insight feels useless. In that case, the coaching target shifts to which meeting invitations she declines or reschedules, not which ones she initiates.

After she has used the tracker for a full month: 'Looking at your highest-energy days, what did they have in common beyond sleep hours? What about your lowest?' The notes column often reveals factors she did not initially prioritize - alcohol the night before, a difficult conversation late in the day, an evening workout. Use the full picture to build a predictive model: 'If you want a 4 or 5 energy day, what are the three conditions that need to be in place the night before?' This makes the tracker's value concrete and actionable beyond the weekly review.