Service · Validation Programming
Independent validation programming
Double programming only catches what both programmers know to look for, and wearable data is full of failure modes a generalist won't flag. We sit independently on top of your production and validation programming, confirm the data was cleaned and derived correctly, and track down the cause of any discrepancies before they reach the analysis.
What we check
An expert second read of the data handling
Data cleaning
Wear-time, non-wear detection, valid-day rules, and artifact filtering, applied the way the protocol intends.
Derivations
Endpoint and biomarker derivations (gait, sway, HRV/RMSSD from raw BBI, step count) computed and aggregated correctly.
Production and validation
An independent read of both your production and validation programming, not a replacement for either.
Discrepancy root cause
When outputs disagree, we trace the cause, not just the difference, so it can be fixed at the source.
Sensor-specific edge cases
The device- and measure-specific data-quality traps that generic QC misses.
Reproducibility
A check that the pipeline produces the same result twice, with the documentation a reviewer would expect.
Why an outside set of eyes pays off
Built to catch what double-programming misses
Most validation programmers are strong statisticians who simply haven't spent years inside wearable data. The errors that sink a sensor endpoint hide in plain sight: a wear-time rule applied inconsistently, a BBI artifact left in, a derivation that quietly drifts. They're easy to miss if you don't know where they live, and expensive to find after the data locks. An independent, sensor-data-specialist check catches them while there's still time to fix them. It pairs naturally with SAP review and the DIY Starter Pack.
Have a production and validation programmer on your sensor data?
A short call scopes what to check and the deliverable. De-identified data only.
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