## Sleep Reset Member Outcomes Report 2026 ### 01 — Overview The 2,745 members in this analysis arrived at the program after years of disrupted sleep, failed remedies, and diminishing quality of life. This report covers two things: who they are and how they sleep before starting, and how their sleep changes over the course of the program. **Nine in ten reported they had been trying to improve their sleep for a long time without lasting success.** By week 4 of the program, nearly three quarters were falling asleep faster than at intake. - **Average nightly sleep at intake:** 5.7hrs - **Had tried to improve sleep before, without lasting success:** 92% - **Falling asleep faster by week 4:** 74% - **No longer meeting insomnia diagnostic criteria at week 8:** 72% **About the data:** This report draws on two data sources from the same 2,745-member dataset. Sections 02–06 (intake portrait) use responses from the program enrollment questionnaire and describe members _before_ the program begins. Section 07 (outcomes) uses weekly sleep diary entries logged in the app during the program. Where a figure could be read either way, the source is noted. --- ### 02 — Who We Serve #### Member Demographics Members in this dataset span adulthood broadly, with the highest concentration in their 40s and 50s — decades often characterized by compounding demands: careers, young children, hormonal transitions, and rising health complexity. ##### Age Distribution - 40s: 22% - 50s: 21% - 30s: 19% - 60s: 17% - 70s+: 14% - Under 30: 7% ##### Gender - **Female:** 55% - **Male:** 45% The overrepresentation of women reflects a well-documented pattern: hormonal transitions, caregiving responsibilities, and anxiety-related sleep disruption disproportionately affect women's sleep quality across the lifespan. The 40s and 50s cohorts together account for 43% of this dataset — a population at the peak of personal and professional demands, and at significant risk for the long-term health consequences of chronic sleep deprivation. --- ### 03 — Sleep at Intake #### How Members Sleep Before Starting Members in this dataset report an average of **5.7 hours per night at intake** — well below the 7–9 hours recommended by the American Academy of Sleep Medicine. More striking is the distribution: 17% report fewer than 4.5 hours on a regular basis. - **Mean nightly sleep at intake:** 5.7hrs - **Reporting fewer than 4.5 hours per night:** 17% - **Reporting fewer than 7 hours per night:** 77% #### Time Spent Awake in Bed - 1 – 2 hours: 39% - Over 2 hours: 29% - 30 – 45 minutes: 22% - Under 30 minutes: 9% **90% of the members in this dataset lie awake for 30 minutes or more each night.** Nearly one in three spends over two hours awake — a pattern clinically associated with learned sleep anxiety and a core driver of the insomnia cycle. #### Nighttime Waking Frequency - Every night: 71% - Several times a week: 23% - Once a week: 6% **71% of members in this analysis wake in the night every single night**, and 94% do so at least several times a week. --- ### 04 — Root Causes & Stressors #### What's Keeping Members Awake Sleep disruption does not occur in isolation. Intake data captures the life context members connect to their sleep problems — the clinical terrain any effective sleep program must address. ##### Racing Thoughts at Night - **Report racing thoughts as a nightly or frequent sleep disruptor:** 90% - **Say racing thoughts keep them awake _often_ — not just sometimes:** 46% #### Life Stressors Affecting Sleep - Work stress: 46% - Health concerns: 31% - Hormonal changes: 16% - Staying up too late habitually: 13% - Young child under 5: 11% - Loss, grief, or bereavement: 7% ##### Behavioral Factors - Eating within 3 hrs of bedtime: 77% - Phone use in bed: 71% - Reading in bed: 64% - No consistent wind-down routine: 49% - Alcohol within 3 hrs of bedtime: 43% - Watching TV in bed: 34% --- ### 05 — Member Priorities #### What Members Most Want to Change At intake, members identify their primary sleep goals. Three outcomes dominate — reflecting the core phenomenology of chronic insomnia: difficulty maintaining sleep, insufficient depth, and difficulty initiating sleep. The majority select more than one, indicating that sleep difficulty is rarely a single-symptom problem. - Want to sleep through the night without waking: 80% - Want more deep, restorative sleep: 57% - Want to fall asleep faster: 47% ### Primary Treatment Intention - **Address both sleep & anxiety:** 52% - **Improve sleep generally:** 43% - **Reduce nighttime anxiety specifically:** 5% **52% of the members in this dataset enrolled specifically to address both their sleep and their nighttime anxiety** — underscoring that effective sleep treatment must engage the nervous system, not just sleep hygiene habits. ### Current Sleep Aid Use at Intake - **Using something (any form):** 72% - **No sleep aids:** 28% --- ### 06 — Clinical Conditions #### Diagnosed Sleep Conditions in the Dataset - **No prior diagnosis:** 56% - **Insomnia:** 31% - **Sleep Apnea:** 17% - **Restless Leg Syndrome:** 6% - **Circadian Rhythm Disorders:** 1% - **REM Sleep Behavior Disorder:** 1% --- ### 07 — Program Outcomes #### What Changes During the Program Sleep Reset's program is built on Cognitive Behavioral Therapy for Insomnia (CBT-I) — the first-line treatment recommended by the American Academy of Sleep Medicine over medication. - **74% falling asleep faster by week 4** - **Average time to fall asleep, intake vs. week 6:** 42→16 min - **Fewer nighttime wakings by program completion (1.8 → 0.5 avg):** 3.6× - **Sleep efficiency, intake vs. week 6 — crossing the clinical 85% threshold:** 77→88% - **Improved sleep quality rating by week 6:** 73% - **No longer meeting insomnia diagnostic criteria at week 8:** 72% ### Sleep Efficiency Across the Program - **Week 1 (intake):** 77% - **Week 4:** 87% - **Week 6:** 88% - **Week 8:** 88% --- ### 08 — Methodology #### Dataset This report draws on a single dataset of 2,745 members who enrolled in the Sleep Reset program and completed the intake questionnaire. The same members' weekly sleep diary entries, logged in the app during the program, form the basis of the outcomes section. Members were not selected based on sleep severity, outcomes, or any other filter. #### Limitations Members who enroll in a behavioral sleep program are, by definition, experiencing sleep difficulty — prevalence figures in this report will exceed those of the general adult population. All intake data is self-reported and subject to recall bias. Outcomes figures reflect members who logged data through the relevant week and may not represent those who disengaged earlier.