What Actually Lowers Decision Load: 7-Day Retest Findings

Most research on decision fatigue measures load at a single point in time. We were more interested in a different question: does anything actually move the number?

We re-contacted a subset of participants from our initial cohort one week after their first DLI assessment and asked them to retake it. We also asked what, if anything, they had done differently in the intervening week.

This is early, exploratory data. The sample is small and the methodology is not controlled. We are reporting it because the patterns are consistent enough to be worth examining, and because several findings run counter to what we expected.

Stability First: Most Scores Were Stable

The first finding was about reliability, not change. Of 47 retested participants, 38 (81%) had scores within 8 points of their original score.

This matters because decision load has been criticized as just measuring "how stressed you feel today." The retest data does not support that interpretation. If DLI were primarily a mood measure, we would expect more variance across 7 days — most people have meaningful mood variation across a week.

The stability suggests the measure is capturing something structural about a person's situation, not just their emotional state at a given moment.

What Changed in the Scores That Did Change

Nine participants (19%) showed meaningful change — defined as 10+ point movement — at retest. Seven went down. Two went up.

We asked the seven who improved what they had done differently. The responses clustered into three patterns:

Behavior reported	Participants	Avg score change
Completed deferred decisions — actively resolved things they had been avoiding or postponing	5 of 7	–14 pts
Wrote down open loops — externalized pending decisions to a list, note, or document rather than holding them mentally	4 of 7	–11 pts
Delegated or explicitly declined — transferred a decision to someone else, or made a firm no-decision and stopped revisiting it	3 of 7	–9 pts

Of the two who went up: one reported taking on a new project that added commitments they hadn't yet scoped; one reported a significant personal situation that added several unresolved personal decisions to their queue.

What Did Not Move Scores

Several behaviors participants reported did not appear to correlate with score change:

• Exercise or sleep changes (reported by 4 participants — no consistent score movement)
• Productivity app changes — adding or changing task management systems (reported by 3 — no consistent movement; one participant who added a new system showed a slight increase)
• Taking time off work (reported by 2 — scores were stable, not improved)

This is consistent with the broader dataset finding: decision load is not primarily about energy or time. It is about the number of unresolved choices being held. Rest restores energy but does not resolve decisions. Systems can add decisions of their own.

The ADHD Subgroup Finding

Among the 7 participants who improved their score, 4 self-identified as having ADHD. This is a higher proportion than their representation in the full retest sample (4 of 47, roughly 9%).

All four reported externalizing open loops as a behavior. Three reported completing deferred decisions. None reported adding new systems or tools.

One interpretation: externalization may have a stronger effect in ADHD because the cost of holding decisions in working memory is higher. If executive function gaps mean decisions get re-evaluated repeatedly rather than settling into an automatic response, writing them down may provide more relief than it does for people whose brains handle the parking-and-filing automatically.

This is speculative. The numbers are small. But the pattern is worth noting and is consistent with clinical literature on ADHD and working memory externalization strategies.

What "Completing a Decision" Actually Looked Like

Participants who reported completing deferred decisions described specific examples:

"Replied to an email I had been avoiding for two weeks. It took 4 minutes. I had been spending more mental energy avoiding it than it would have taken to answer."

"Cancelled a commitment I was ambivalent about. I had been half-deciding to cancel for three weeks. Once I actually did it, I noticed I felt lighter almost immediately."

"Finally decided not to apply for the grant. I had been in 'maybe I'll apply' mode for a month, which meant the decision was taking up space even when I wasn't actively thinking about it."

The common element is not the specific decision or its outcome — it is the act of closing a loop that had been staying open. The emotional valence of the outcome (good or bad, yes or no) mattered less than the closure itself.

An Important Limit of This Data

We do not know whether these behaviors caused the score improvement, or whether people who felt better anyway were more likely to take action and also reported lower scores. Causation is not established here.

The honest summary is: people who showed score improvement reported specific behaviors; people who did not show improvement did not report those behaviors; the behaviors are consistent with the theoretical model of what drives decision load. That is a correlation worth investigating with a controlled design, not a proof.

We are planning a follow-up study with assigned conditions. The retest data is informing what conditions to test.

This is a research field note reporting preliminary retest data. n=47 is too small to draw firm conclusions. Results are observational and based on self-reported data. This content does not constitute medical or psychological advice. The ADHD subgroup finding is directional only (n=4). Results vary.