The document contains diagrams and equations analyzing the factors that influence the adoption and success of a diet and health tracking mobile app. It presents three hypotheses: that app accuracy positively impacts photo uploads, customization positively impacts perceived benefits, and user participation positively impacts adoption and premium subscriptions. Stock and flow diagrams model the relationships between app quality, marketing, and technical defects on user acquisition and retention over time.

3. EXOGENOUSENDOGENEOUS EXCLUDED
● Income Level● Government
Regulations
● Population
● Download Rate
● Premium service subscri
ption rate
● Degree of Customization
● Technical Defects
● Marketing Activities
● Investment in app devel
opment
● Data Processing Rate

4. The accuracy of Dietagram has a positive impact on the numb
er of pictures taken
Hypothesis 1:
Hypothesis 2:
Hypothesis 3:
The accuracy and customization of Dietagram has a positive i
mpact on the perceived benefits
User participation has a positive impact on the adoption and p
remium subscription rate

5. < Causal Loop Diagram >

6. < Stock and Flow Diagram 1>

7. < Stock and Flow Diagram 2 – with technical defects>
Potential Users
Users
Adoption Rate
User Participation# of Showcases
# of Banner
Advertisements
Click-Through Rate
Attendance Rate
Quality of Features
Download Rate
+
+
+
+
+
+
+
+
+
Premium Users
Subscription Rate
Price of Premium
Service
-
Technical Defects
+
+
+

8. < Stock and Flow Diagram 2 – without technical defects>
Potential Users
Users
Adoption Rate
User Participation# of Showcases
# of Banner
Advertisements
Click-Through Rate
Attendance Rate
Quality of Features
Download Rate
+
+
+
+
+
+
+
+
+
Premium Users
Subscription Rate
Price of Premium
Service
-
Technical Defects
++
+

11. FIXED USERS EQUATIONS

12. BEST USERS SIMULATION RESULT