Glycemic response insight detection

A computer-implemented method comprising:

• acquiring physiological data generated by a glucose monitoring device that monitors a blood glucose level of an individual;
• analyzing the physiological data to identify a glycemic response according to at least a pattern-defining parameter;
• monitoring contextual data generated by one or more network-enabled devices,
• wherein the contextual data includes engagement data related to engagements with programs executing on a mobile phone, and
• wherein each engagement represents an interaction recorded by, or received on, the mobile phone;
• analyzing the contextual data to identify a first contextual event that is related to the glycemic response,
• wherein the first contextual event represents an engagement with a particular program executing on the mobile phone that is performed within a threshold duration of time with respect to the glycemic response;
• identifying a personalized retrospective insight for the individual by dynamically linking the glycemic response and the first contextual event;
• storing the personalized retrospective insight in a database to create a historical record of personalized retrospective insights associated with the individual;
• analyzing the contextual data to identify a second contextual event that is substantially similar to the first contextual event;
• and
• causing a notification to be presented to the individual that specifies the glycemic response experienced in combination with the first contextual event.