SmokingTracker uses EMA to log sessions, mood, and triggers in real time. Three taps. No cognitive load. No recall bias distorting your clinical data.
Regular cannabis use impairs episodic memory encoding. By the time a client sits across from you, a full week of sessions, moods, and triggers has dissolved into a vague "about the same." EMA fixes this — by capturing it the moment it happens, not reconstructed in a clinical setting days later.
Cannabis use disorder clients often have impaired working memory during active use. A complicated logging interface guarantees low compliance. SmokingTracker's three-tap interface logs a full session in under five seconds — removing the barrier to real-time capture.
Research shows that craving, state anxiety, and social context predict use episodes — but only when measured in the moment. By the time a client sits across from you, these proximal triggers are gone. EMA captures them before they dissolve.
Individual sessions are noise. Patterns are signal. SmokingTracker aggregates EMA data into weekly trends, time-of-day heatmaps, trigger frequency rankings, and mood-use correlations — giving both client and clinician a picture that no single session can provide.
SmokingTracker's logging methodology is built directly on peer-reviewed EMA research.
No technical setup for the client. No app store required.
EMA logging powers the rest of the SmokingTracker platform.
Book a free 20-minute demo. We'll show you exactly how clients log between sessions and how the data appears on your dashboard.
Request access and see how SmokingTracker can support your treatment center during the current free pilot.