Target Audience
Target Solution
The ideal solution provided by Cannibuddy:
Offers personalized cannabis dosing and strain recommendations based on individual physiology, genetics, and metabolic pathways.
Incorporates user-friendly session tracking and data visualization features for easy monitoring and trend analysis.
Provides a platform for community support, enabling users to share experiences and learn from others.
Interviews
To ensure the app addresses the needs and concerns of its target audience, a series of user interviews were conducted. Participants included individuals who have used cannabis for medicinal purposes, healthcare providers familiar with cannabis treatments, and experts in AI-driven healthcare solutions.
The interviews aimed to gather insights on current challenges faced, desired features in a medication self-management app, and potential improvements in cannabis treatment management.
Methodologies
Data Collection
Personas
Causal Diagram of the Intervention
Key Findings
#1 Panic Attack Coping Mechanisms
Multiple calming techniques to cope with anxiety/panic attacks:
Breathing Exercises, Grounding techniques, photo reel, motivation
Uses habit formation to improve focus and have a game plan if they experience negative side effects
Simple screens, large buttons, multiple ways to get information, multiple techniques
Anchor contacting to coping
#2 Panic Attack Auto Contact
The system looks at the heart and respiratory rates when the session started
Will auto-contact the closest contact
Auto-generated message
Few/No clicks
Bigger buttons on the Session in Progress page
Can still easily contact someone if the user feels the attack before our system does
Uses Social Support and Influence to increase awareness of a friend who can help
#3 Session Tracking
Users can track their cannabis medication sessions by:
Providing info about their symptoms (and current feeling), environmental factors, and product type
After session, users are asked again what their symptoms are
Can go to Calendar view to see summary of efficacy and panic attacks
Uses Self-Monitoring/Reflection to help them learn about their medications and triggers
Allow them to repeat sessions to lower burden
Collect as much information without them spending too much time (Supply options, pictures to autofill products)
Calendar shows summary and trends
#4 Recommendations
Uses session information journaling to help users avoid panic attacks and increase the efficacy of their medications
Uses Behavioral Strategies to help facilitate choosing high efficacy and low panic attacks products:
Users have to go through a reminder prompt
Sort by efficacy descending (more accessible)
Show how it helps other users
User Journey
Wireframes
Using sketching and Figma, I translated my first sketches into low-fidelity wireframes. Then, I improved them by adding a few relevant stock images and copies provided by the marketing team. At this stage, the wireframes were defined enough for some user testing. Based on 4 tests, I’ve made a few alternations and moved on to creating high-fidelity prototypes.
