Causal
Passive biometrics meets active micro-sampling. Causal connects Apple Health with 3-second check-ins to find what actually moves the needle for your well-being.
Caffeine after 2:00 PM delays your deep sleep onset by 35 minutes.
Tap to expandActive Factors & Causal Insights
Random Check‑ins
Lightweight prompts capture how you feel without logging fatigue.
Lifestyle Levers
Track caffeine, stress, or alcohol to discover their impact on recovery.
Comparative Insights
See how your habits affect sleep and biometrics compared to others.
Privacy First
Your data is de‑identified at source and processed securely.
Rest‑Respecting Prompts
Check‑ins appear only while you’re awake, never disrupting sleep.
All your health data in one sync.
Sync read-only Apple Health signals and combine them with active check-ins.
Common Questions
What is causal inference in health tracking?
Causal estimates possible lifestyle patterns beyond simple correlations by combining randomized check-ins with Apple Health signals. It is designed for personal wellness insight, not medical diagnosis.
Why does Causal prompt me randomly instead of letting me log manually?
Manual logging introduces strong recall and selection biases. Prompting you randomly during waking hours yields mathematically sound causal data without notification fatigue.
How are active factors like caffeine or stress tracked?
Lifestyle factors like caffeine, stress, or workouts are tracked through quick, random check-in prompts. Passive Apple Health metrics currently include read-only sleep duration, HRV, resting heart rate, and workout duration.
What is a percentile benchmark?
It compares your biometric reaction slope (e.g., how much your HRV drops per drink of alcohol) with the broader Causal user community. You'll learn if you are in the top 10% of caffeine sensitivity or if sugar affects your sleep less than average.
Is my data private and secure?
Causal does not use health data, HealthKit data, biometrics, or check-in answers for ads, marketing, resale, or unrelated profiling. Data is used to generate personal wellness insights.