Feature
Run personal health experiments with more structure and less guesswork
SynthVitals helps you move from “I think this helped” to a cleaner before-and-after test. Choose a baseline, apply an intervention, and compare what changed using the metrics you care about most.
Define the question
Turn vague goals into a testable hypothesis like whether more sleep improves HRV or whether a walk changes recovery.
Compare periods clearly
Use a baseline and intervention window so you can see whether metrics improved, worsened, or stayed noisy.
Learn from your own data
Experiments help you personalize decisions instead of relying only on generic wellness advice that may not fit your life.
Experiment workflow
From hypothesis to measured result
The core value of experiments is structure. You can compare a baseline period to an intervention period instead of relying on memory or vague impressions.
Frame one clear question, such as whether more sleep improves HRV or recovery.
Track the same metrics before and after your intervention for cleaner comparison.
Use the result to decide whether a habit is worth keeping, changing, or dropping.
Experiment timeline
Baseline vs interventionBaseline window
Normal routine captured first
Intervention period
Same metrics reviewed after change
Outcome review
Trends and comparisons in one view
Frequently asked questions
What are health experiments in SynthVitals?
They are structured before-and-after tests that help you measure whether a habit change actually shifted your metrics.
What can I test?
Sleep targets, exercise routines, fasting timing, food choices, and many other behaviors that show up in your data.
Related pages
HRV tracking
A common experiment target when testing sleep, exercise, or recovery changes.
CGM dashboard
Use experiments to test food, walking, and metabolic routines.
Wearable + lab correlation
Move from interesting patterns to a cleaner intervention test.
What My Synth does
Learn when to use projections first and when to validate them with a real experiment.