Inner Helix asks you to rate your mind (mood, clarity, focus, discipline, drive, pressure) and your body (hours slept, sleep quality, energy, appetite) once a day. Does that kind of record do anything? Here is what the studies say, with the limits next to each result. Effect sizes are averages across studies, not predictions for one person.
Watching your progress toward a goal
Across 138 randomised studies and 19,951 people, interventions that promoted progress monitoring improved goal attainment. Effects were larger when the monitoring was recorded or reported.
Does not show These were programmes built to increase monitoring, sometimes with other parts. It does not promise that any one journal or app will do this.
Harkin et al., Psychological Bulletin, 2016Well supported0.42 vs 0.26
Tracking, plus one more technique
In 122 evaluations of eating and physical-activity programmes, those that paired self-monitoring with another self-regulation technique (goal setting, feedback) outperformed those that did not.
Does not show A comparison across programmes, not a head-to-head trial of tracking alone. Other differences between programmes may explain part of the gap.
Michie et al., Health Psychology, 2009Well supported−0.27 to −1.14
Short sleep and next-day mood
A review of 154 studies found that sleep loss lowers positive mood, with effects between −0.27 and −1.14 across types of sleep loss. Results for negative mood and depressive symptoms were mixed.
Does not show A diary can show a possible pattern. It cannot prove that sleep caused one particular mood on one particular day; stress can move both.
Sleep loss and emotion, Psychological Bulletin (systematic review and meta-analysis)Suggestived = 0.65 → 0.36
If–then plans
The 2006 review of 94 tests found d = 0.65 for specific “if X, then I will Y” plans. A later review of 642 tests found 0.36 overall and 0.27 for behaviour change; one bias-adjusted model went as low as 0.15.
Does not show Effects shrink in larger, newer reviews and vary by goal. A plan is useful scaffolding, not a guarantee.
Gollwitzer & Sheeran, Advances in Experimental Social Psychology, 2006How long a habit takes
In one study, the modelled median time to reach a plateau of automaticity was 66 days, ranging from 18 to 254 across people. Missing a single day did not materially disrupt the pattern.
Does not show 39 people, an 84-day study; the longer estimates are model-based. 66 is not a deadline and not a universal number.
Lally et al., European Journal of Social Psychology, 2009 (online)Writing about hard experiences
Across 146 studies, expressive writing (writing about thoughts and feelings around a difficult experience) had a small average effect.
Does not show That is not the same as scoring a day from 1 to 10. A later meta-analysis found no significant long-term effect of brief self-directed writing on depressive symptoms.
Frattaroli, Psychological Bulletin, 2006Tracking can backfire for some people
Some people report worry, rumination or compulsive checking. Sleep-tracker case reports describe a preoccupation with sleep scores, called orthosomnia.
Does not show These show plausible harm, not how often it happens or whether it lasts. Trials rarely measured adverse effects.
Reviews of mood-tracking harms; orthosomnia case reportsNot shownno robust evidence
Mood tracking on its own as a treatment
A 2026 review found no robust evidence that mood-monitoring interventions improved bipolar depression or mania, and the evidence in unipolar depression was inconclusive.
Does not show The programmes also had clinical feedback or CBT modules, and no study compared basic mood monitoring alone with none. So its separate benefit is simply unknown.
Systematic review of mood-monitoring interventions, 2026