Measure the mind,
without asking a question.
Self-reporting is notoriously flawed. nx10 provides continuous, passive tracking to identify physiological baseline shifts over time and objectively validate clinical interventions.
The Blind Spot
The problem with surveys.
Apps focused on cognitive behavioral therapy (CBT), meditation, or mood tracking rely on the user to accurately report their state. But human memory is fallible, and user compliance is low.
Biased by Design
Users only open health apps when they remember to, usually missing their lowest points entirely. When they do answer a mood survey, their responses are heavily influenced by their most immediate, recent interaction - not their overall trend.
This results in sparse, noisy data that is impossible to build reliable clinical or product models upon.
The Nx10 Solution
nx10 tracks a per-user baseline across all their daily digital interactions. By deploying our iOS Keyboard Extension, you capture kinematics while they text friends or write emails.
It captures subconscious, visceral truth. Kinematics do not lie, and they don't require the user to fill out a 5-minute daily survey.
The Playbooks
From science to systems.
Longitudinal Anxiety & Depression Markers
Mental health declines are rarely sudden; they are gradual slopes. A patient might not realize their depression is worsening until weeks after the fact.
The Implementation:
Because nx10 establishes an affective baseline, your app can detect macroscopic shifts over weeks. If a user's typing cadence and swipe pressure begin consistently deviating toward lethargy (low arousal) and low valence, the app can proactively suggest a clinical check-in or alert a care team.
app.post('/nx10-webhooks', (req, res) => {
if (req.body.eventType === 'baseline_deviation') {
const metrics = req.body.payload;
if (metrics.arousalTrend === 'declining_7d') {
// Alert the clinician
clinicalSystem.flagPatient(
req.body.sourceId,
"Lethargy marker detected"
);
}
}
});
func onBreathingExerciseComplete() {
let postExerciseBCI = Nx10.getCurrentBCI()
if postExerciseBCI.trend == .increasing {
// Cognitive load restored
Analytics.log("Intervention_Success")
} else {
// Intervention failed to regulate user
Analytics.log("Intervention_Failure")
suggestAlternativeTherapy()
}
}
Validating Interventions
When a user completes a guided meditation or a CBT exercise in your app, how do you know if it actually helped them?
The Implementation:
By comparing the Brain Charge Index (BCI) and Game Behaviour Index (GBI) immediately before and after the exercise, developers can objectively, mathematically prove that their specific app features successfully restored cognitive capacity and lowered negative arousal.
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