STOP GUESSING. START EXPERIMENTING WITH OURALYTICS
Personalized Experiments
Your body isn’t average — so why follow generic advice? Propose any health hypothesis and we’ll run a rigorous experiment on YOU, measuring real outcomes through your Oura Ring.
Shared Intelligence
The more people who join an experiment, the faster it learns. Like leading tech companies running thousands of concurrent tests, our shared model gets smarter with every participant — delivering results no individual could achieve alone.
Evidence, Not Opinions
Small changes can have a big impact, but most progress comes from getting many tiny improvements right. We apply controlled-experiment rigor to your daily habits — so every recommendation is backed by data, not intuition.
Your Oura Ring shows what’s happening. Ouralytics shows what to do about it.
Oura gives you rich data — sleep scores, readiness, HRV — but knowing your score was 72 doesn’t tell you how to make it 85. Ouralytics bridges that gap by running controlled experiments on your daily habits. Each night you get a personalized recommendation. Each morning, your ring measures the result. Over time, you discover exactly what works for your body.
We’re currently in beta. Join the experiment — the more participants, the faster the system learns for everyone. All data stays in your private AWS environment.
DISCOVER
Browse & Enroll
Find an experiment that matches your goal — better deep sleep, optimal bedtime, caffeine timing. One click to join. You can run up to 5 experiments at once.
Follow & Report
Each evening you get a recommendation. Each morning, tap Yes or No — did you follow it? Your Oura Ring measures the rest automatically.
Learn & Optimize
The system starts by exploring options, then shifts to exploiting what works. Within weeks, you’ll see your personalized playbook emerge from the data.
And GET INSPIRED
Create Your Own Experiment
Got a hypothesis? “Does a 10-minute walk after dinner improve my sleep?” Just describe it in plain language. Our AI validates it for safety and feasibility, generates the experiment structure, and publishes it to the shared catalog — where others can join and accelerate the learning. The more participants, the faster everyone discovers what works.