Cannabis Use Disorder Dashboard

Know how your clients are doing before they walk in the room

SmokingTracker's practitioner dashboard turns objective EMA data into actionable clinical insight. Traffic-light status, trend charts, and trigger analysis — all waiting for you when you open the session.

Measurement-Based CareReal-Time DataMulti-Client View

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Risk stratification

A traffic-light system that tells you who needs attention today

Every client on your caseload shows a status based on app engagement — how recently they logged. Green, Yellow, and Red tell you at a glance who is actively tracking and who may be pulling back — without reading through raw logs.

Green — Engaged Client logged within the past 2 days. Consistent engagement with the app — a reliable signal that data is current.

Yellow — Watch Last log was 2–7 days ago. Engagement is dropping — worth a check-in before the next scheduled session.

Red — Disengaged No log in 7+ days, or never logged. Disengagement is often the first observable sign of a client pulling back — act before the next session.

Practitioner patient list with traffic-light risk status indicators

Client detail view

Everything you need for the session — in one scroll

Open any client and see their complete picture: calendar heatmap of logged sessions, frequency and consumption trends over time, mood and craving trajectory, top triggers, and a chronological activity feed. No piecing together spreadsheets.

Session calendar heatmap — see use patterns at a glance
Frequency and quantity trend lines over 4, 8, or 12 weeks
Mood and craving scores plotted alongside use events
Trigger breakdown: stress, social, boredom, habit, pain

See how this turns into a clinical report →

Client detail view showing cannabis use trends and mood data

Analytics & methods

Understand which methods and substances are driving use

Cannabis is not one substance. Flower, concentrate, edible, and vape have different onset times, potency profiles, and behavioural patterns. SmokingTracker breaks down your client's use by method so treatment targets are grounded in actual behaviour — not generalised assumptions.

Use breakdown by substance type and administration method
Time-of-day and day-of-week pattern analysis
Co-occurrence of use with stress, cravings, and mood states
Goal adherence tracking — use vs. reduction targets

Learn about measurement-based care →

Analytics breakdown by cannabis method — flower, concentrate, vape, edible

Session notes & flags

Add clinical annotations directly to the data

Attach session notes, flag significant events, and track treatment milestones alongside the objective EMA data. When you export a report, your annotations appear in context — making the document session-ready and referral-quality without extra formatting work.

Free-text session notes attached to any date
Flag events — relapse, goal achievement, medication change
Notes included in exported PDF reports
Full audit trail — timestamps on all entries

See clinical reports →

Clinical notes and annotations in the practitioner dashboard

Clinical Evidence

Why real-time data outperforms recall in CUD treatment

The case for objective, session-by-session tracking is well-established in the addiction literature.

Measurement-Based Care

MBC reduces symptom severity by 58% vs. treatment-as-usual (Lambert et al., 2001)

These figures reflect independent MBC research, not SmokingTracker outcome data. Systematic reviews of measurement-based care consistently find large effect sizes when clinicians use objective outcome data to guide session decisions.

Self-Report Bias

Clients underreport cannabis use by 30–50% on retrospective questionnaires

Studies comparing EMA capture to weekly retrospective recall consistently find that recall-based methods miss roughly half of actual use episodes, especially in heavier users.

Treatment Engagement

Clients who receive regular progress feedback are 2× more likely to stay in treatment (Scott & Lewis, 2015)

These figures reflect independent MBC/FIT research, not SmokingTracker outcome data. Feedback-informed treatment trials demonstrate that sharing objective progress data with clients improves alliance and retention.

Trigger Analysis

Identifying proximal triggers doubles the effectiveness of coping skills training

CBT and contingency management protocols perform better when trigger work is grounded in the client's own EMA-identified pattern data rather than generic high-risk scenario lists.

Selected references:

Scott K & Lewis CC (2015). Using measurement-based care to enhance any treatment. Cogn Behav Pract.
Hjorthøj CR et al. (2012). Agreement between self-reported and documented cannabis use. Addict Behav.
Lambert MJ et al. (2003). Is it time for clinicians to routinely track patient outcome? Clin Psychol Sci Pract.
Witkiewitz K & Marlatt GA (2004). Relapse prevention for alcohol and drug problems. Am Psychol.

How It Works

From client invite to clinical insight in minutes

Invite your client

Send a secure link from the dashboard. Your client creates an account and begins logging immediately — no app store, no lengthy setup. You're connected in under two minutes.

Data flows automatically

Every session your client logs appears in your dashboard in real time. Trend charts, risk status, and trigger analysis update continuously — no manual imports or check-ins required.

Open prepared, close informed

Check the dashboard before each session — review the week's data, note any escalations, add session annotations. Export a print-ready report when documentation is needed for EHR or referral.

Know how your clients are doing before they walk in the room

A traffic-light system that tells you who needs attention today

Everything you need for the session — in one scroll

Understand which methods and substances are driving use

Add clinical annotations directly to the data

Why real-time data outperforms recall in CUD treatment

MBC reduces symptom severity by 58% vs. treatment-as-usual (Lambert et al., 2001)

Clients underreport cannabis use by 30–50% on retrospective questionnaires

Clients who receive regular progress feedback are 2× more likely to stay in treatment (Scott & Lewis, 2015)

Identifying proximal triggers doubles the effectiveness of coping skills training

From client invite to clinical insight in minutes

Invite your client

Data flows automatically

Open prepared, close informed

Related Features

EMA Logging

Clinical Reports

Measurement-Based Care

Know your caseload before the session starts.

Start with one client.
See how it works.

Know how your clients are doing before they walk in the room

A traffic-light system that tells you who needs attention today

Everything you need for the session — in one scroll

Understand which methods and substances are driving use

Add clinical annotations directly to the data

Why real-time data outperforms recall in CUD treatment

MBC reduces symptom severity by 58% vs. treatment-as-usual (Lambert et al., 2001)

Clients underreport cannabis use by 30–50% on retrospective questionnaires

Clients who receive regular progress feedback are 2× more likely to stay in treatment (Scott & Lewis, 2015)

Identifying proximal triggers doubles the effectiveness of coping skills training

From client invite to clinical insight in minutes

Invite your client

Data flows automatically

Open prepared, close informed

Related Features

EMA Logging

Clinical Reports

Measurement-Based Care

Know your caseload before the session starts.

Start with one client.See how it works.

Start with one client.
See how it works.