What is mood tracking?

Mood tracking is the systematic practice of recording your emotional state at regular intervals — typically using numerical scales, descriptive labels, or both. In microdosing, mood tracking transforms a vague sense of "I think this is working" into concrete, reviewable data.

It's the difference between:

"I've been feeling pretty good lately, I think" (unreliable)
"My average mood on dose days is 7.2 vs. 5.8 on my pre-protocol baseline" (informative)

Why mood is the #1 metric to track

Surveys consistently show that mood improvement is the most commonly reported benefit of microdosing, ahead of creativity, focus, and other metrics. It's also the most studied outcome in microdosing research.

Tracking mood specifically helps you:

Detect genuine effects vs. expectancy/placebo
Optimize your protocol — dose, timing, frequency
Identify triggers — what external factors affect your mood on vs. off days?
Measure long-term shifts — is your baseline mood changing over weeks and months?
Communicate with professionals — if you work with a therapist or coach, data is invaluable

How to track mood effectively

The scale

Use a 1–10 numerical scale with anchors:

1–2: Very low (deep sadness, despair, severe anxiety)
3–4: Below average (notably down, irritable, unmotivated)
5: Neutral (neither good nor bad, just normal)
6–7: Good (positive outlook, engaged, content)
8–9: Very good (joyful, energized, deeply content)
10: Exceptional (peak experience, profound well-being)

Frequency

Minimum: Once daily (evening reflection on the whole day)

Recommended: 2–3 times daily (morning, midday, evening)

Optimal: At consistent times to reduce variability

What to track alongside mood

Mood doesn't exist in a vacuum. Track these contextual factors to understand what influences your ratings:

Sleep quality and duration (previous night)
Exercise (type and duration)
Caffeine and alcohol intake
Stress level
Social interaction quality
Weather and light exposure
Menstrual cycle phase (if applicable)
Other supplements or medications

Qualitative notes

Numbers tell you what changed. Notes tell you why:

"Mood dropped after argument with partner — unrelated to dose"
"Unusually creative and upbeat, may be connected to excellent sleep"
"Feeling anxious but also energized — unusual combination"

Analyzing mood data

After 2 weeks

Enough data to calculate:

Average mood on on-days vs. off-days vs. baseline
Day-to-day variability (standard deviation)
Whether transition days differ from full off-days

After 4 weeks

More meaningful patterns emerge:

Trend line — is your overall mood rising, stable, or declining?
Day-type comparison — which protocol days consistently feel best?
Confounding factors — are sleep, exercise, or stress better predictors than the dose?
Dose-response — if you've adjusted doses, how did mood respond?

After a full cycle + break

The most important analysis:

New baseline vs. old baseline — has your resting mood shifted?
Protocol effectiveness — was the overall arc positive, neutral, or negative?
Decision point — continue, adjust, or stop?

Common mood tracking pitfalls

Recall bias — rating at night for the whole day overweights evening mood. Track in real-time when possible.
Anchoring — yesterday's rating influences today's. Try to rate independently.
Social desirability — unconsciously rating higher because you "should" feel better. Be brutally honest.
Ignoring context — a mood drop due to a bad meeting isn't a microdosing failure. Always note context.
Over-analysis — day-to-day fluctuations are normal. Focus on weekly averages and trends, not individual data points.

Mood Tracking