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Reclaim Your Nights: Sleep Better, Live Brighter

Discover how simple evening screen habits can transform your sleep and energy, starting tonight.

14–30 days Beginner · Intermediate · Advanced 2 participants

Context

Why this matters

In our increasingly connected world, screens are ubiquitous, but their blue light and stimulating content can disrupt our natural sleep cycles. This study helps you explore how conscious evening digital habits can significantly improve your sleep quality, leading to more energy, better mood, and enhanced overall well-being. Understanding and managing your digital sunset can be a powerful tool in reclaiming restorative sleep.

At a glance

Study overview

3
Common protocols reported
14–30 days
Typical duration
2
Participants enrolled

This study will explore how implementing a "digital sunset" routine (reducing or eliminating screen time before bed) impacts sleep onset, duration, quality, and next-day energy levels.

AI guide

Talk to the study agent

Ask the agent how this study works, what to expect, or how reporting works for different protocols.

Welcome to the Digital Sunset for Better Sleep study! I'm your AI guide here to help you understand and implement strategies for better sleep through mindful use of digital devices in the evening. How can I assist you today?

Exploration mode — join the study below to unlock private, memory-aware conversations.

About your protocol

Tell us about your protocol

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60-Minute Screen-Free Challenge

Beginner 14 days

Participants commit to no screens for 60 minutes before their desired bedtime.

The 90-Minute Wind-Down

Intermediate 21 days

Extends the screen-free period to 90 minutes, incorporating a relaxing pre-sleep activity like reading a physical book, light stretching, or journaling.

Evening Tech Detox

Advanced 30 days

A comprehensive approach to minimizing evening blue light exposure and mental stimulation from devices, potentially including blue light blocking glasses and establishing a dedicated 'tech-free zone' in the bedroom.

Something else

Custom

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Cohort

Community

What other participants are sharing in this study.

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