ADHD Mood Tracker

Marketing director at a tech startup, diagnosed with ADHD six months ago and recently started on stimulant medication. Reports feeling great in morning meetings but struggling to maintain focus and decision-making quality after 3pm. Wants to optimize medication timing and work schedule.

Frame this as medication optimization data, not mood tracking. 'Your afternoon crashes might be medication wearing off, natural circadian rhythm, or something else entirely. Three data points per day will show us the pattern.' Most clients on new medication expect linear improvement and get frustrated by variability. Normalize that medication response has patterns worth mapping.

Completion consistency drops off midweek - classic ADHD pattern with new habits. If morning ratings are consistently higher than afternoon/evening, medication timing is likely the variable. If energy and mood ratings diverge significantly (high mood, low energy or vice versa), the client may be pushing through crashes rather than acknowledging them.

Start with the afternoon column specifically. 'Read me Tuesday through Thursday afternoons.' Then ask: 'What time did you take your medication each day?' Look for the correlation between dose timing and the 2-3pm ratings. The question that opens this up: 'If you could redesign your schedule around this pattern, what would you move?'

Operations manager at a manufacturing company, recently promoted from floor supervisor. Attributes daily frustration and energy dips to 'difficult people' and 'constant interruptions.' Resistant to the idea that internal patterns might be contributing to workplace friction.

Position this as external factor tracking, not self-examination. 'Let's map when the difficult people and interruptions hit you hardest. If it's random, we'll see random data. If there's a pattern, we'll see that too.' Clients who blame external factors often resist mood tracking because it implies internal responsibility. Reframe as environmental data collection.

Client fills in Notes column extensively but rates mood/energy quickly without reflection. This suggests they're focused on justifying ratings rather than noticing patterns. If ratings correlate more with time of day than with the external events described in Notes, the client is discovering something they weren't expecting.

Start with the Notes column. 'Walk me through Monday's notes.' Then shift to the numbers: 'Your mood was a 2 Monday afternoon and a 2 Wednesday afternoon, but the situations you described were different. What was the same?' This moves from content to pattern without challenging their external attribution directly.

Independent management consultant who works with multiple clients simultaneously. Reports that some client interactions leave them drained while others energize them, but can't identify the pattern. Wants to optimize their client mix and scheduling to maintain consistent performance.

Frame as client portfolio optimization. 'Track your energy after different types of client work. If certain clients or project types consistently drain you, that's business intelligence.' This client is likely analytical and will appreciate the data-driven approach. Expect them to want to add columns for client names or project types.

Client may try to correlate every rating with specific client interactions, missing broader patterns like day-of-week effects or cumulative fatigue. If Friday ratings are consistently lower regardless of client work, that's schedule design, not client chemistry. Look for whether they're rating the work or rating themselves doing the work.

Start with the highest and lowest energy days. 'Thursday shows a 5 for energy, Tuesday shows a 2. Walk me through what was different about the work itself.' Then ask: 'What would happen if you scheduled your most demanding clients on your highest-energy days?' The conversation usually opens when you ask: 'Which pattern surprised you?'

Senior project manager at a healthcare organization, returning to work after three months of medical leave for stress-related health issues. Reports feeling 'emotionally fragile' and worried about maintaining professional composure in high-pressure situations with stakeholders.

Position as readiness assessment, not emotional tracking. 'Before we build strategies for managing stakeholder pressure, let's get baseline data on your current capacity. This shows us your bandwidth patterns so we can design your re-entry sustainably.' Clients returning from stress leave often fear that tracking mood confirms they're not ready to return.

Client may rate themselves higher than their actual experience to prove they're ready for full workload. Look for notes that describe difficult situations but mood ratings that don't reflect the difficulty. If morning ratings start high but deteriorate through the day consistently, they may be overcommitting early and paying for it later.

Start with the pattern across the week, not individual days. 'Looking at the whole week, when was your emotional bandwidth highest?' Then move to capacity planning: 'Based on this data, what would a sustainable schedule look like for your first month back?' The key question: 'What would you need to say no to in order to protect these high-capacity windows?'