PREGNANCY MODE PROFILE CONFIGURATION

1 . A method comprising:

receiving physiological data associated with a user from a wearable device;

providing, to a user device associated with the user, a first set of targets associated with one or more physiological metrics and a first set of messages associated with the one or more physiological metrics based at least in part on the received physiological data, the first set of targets and the first set of messages associated with a first operational mode of an application associated with the wearable device that is associated with the user;

receiving, via the user device, a user input comprising an indication of the user being pregnant;

identifying a trigger to transition from the first operational mode to a second operational mode of the application associated with the wearable device that is associated with the user based at least in part on receiving the indication; and

providing, to the user device based at least in part on identifying the trigger, a second set of targets associated with the one or more physiological metrics and a second set of messages associated with the one or more physiological metrics that are adjusted for pregnancy and different from the first set of targets and the first set of messages based at least in part on the second operational mode.

2 . The method of claim 1 , further comprising:

determining, during a first time interval corresponding to the first operational mode, one or more scores associated with the user using a first algorithm and based at least in part on the received physiological data; and

determining, during a second time interval corresponding to the second operational mode, the one or more scores associated with the user being pregnant and using a second algorithm different from the first algorithm and based at least in part on the received physiological data.

3 . The method of claim 2 , wherein the one or more scores comprise a Sleep Score, a Readiness Score, an Activity Score, or any combination thereof.

4 . The method of claim 1 , further comprising:

identifying a second trigger to transition away from the second operational mode;

transitioning from the second operational mode to a third operational mode of the application associated with the wearable device that is associated with the user based at least in part on the second trigger, wherein the third operational mode comprises an intermediary mode for transitioning from the second operational mode to the first operational mode; and

providing, to the user device based at least in part on transitioning to the third operational mode, a third set of targets associated with the one or more physiological metrics and a third set of messages associated with the one or more physiological metrics that are adjusted for postpartum and different from the second set of targets and the second set of messages associated with the one or more physiological metrics based at least in part on the third operational mode.

5 . The method of claim 4 , wherein identifying the second trigger comprises:

receiving, via the user device, a user input comprising an indication that the user is in a postpartum state.

6 . The method of claim 4 , further comprising:

identifying a third trigger to transition from the third operational mode to the first operational mode;

transitioning from the third operational mode to the first operational mode based at least in part on the third trigger; and

providing, to the user device based at least in part on transitioning to the first operational mode, the first set of targets and the first set of messages based at least in part on the first operational mode.

7 . The method of claim 6 , wherein identifying the third trigger is based at least in part on a duration of time spent in the second operational mode, a duration of time spent in the third operational mode, measured physiological parameters included within the received physiological data that indicate the user is no longer pregnant, or a combination thereof.

8 . The method of claim 4 , wherein

the first operational mode comprises a non-pregnant mode,

the second operational mode comprises a pregnancy mode, and

the third operational mode comprises a postpartum mode.

9 . The method of claim 1 , further comprising:

identifying a second trigger to transition away from the second operational mode;

transitioning from the second operational mode to the first operational mode based at least in part on the second trigger; and

providing, to the user device based at least in part on transitioning to the first operational mode, the first set of targets and the first set of messages based at least in part on the first operational mode.

10 . The method of claim 1 , wherein the physiological data comprises temperature data, the method further comprising:

identifying that the temperature data satisfies a temperature threshold for the user, wherein identifying the trigger is based at least in part on the temperature data satisfying the temperature threshold for the user.

11 . The method of claim 1 , wherein

the first operational mode comprises a non-pregnant mode and the second operational mode comprises a pregnancy mode,

the first set of targets comprise targets associated with the user when the user is in a non-pregnant state,

the second set of targets comprise a set of adjusted targets associated with the user when the user is pregnant, and

the second set of messages are configured to promote the set of adjusted targets.

12 . The method of claim 1 , further comprising:

receiving, via the user device, a user input comprising a date of a user's last menstrual cycle, an estimated date of conception, a date of a first positive pregnancy test, an estimated due date, an actual birth date, or a combination thereof, wherein identifying the trigger is based at least in part on receiving the user input.

13 . The method of claim 1 , further comprising:

causing a graphical user interface of the user device to display pregnancy symptom tags based at least in part on the second operational mode.

14 . The method of claim 1 , further comprising:

causing a graphical user interface of the user device to display a message associated with the second set of targets and the second set of messages that are adjusted for pregnancy based at least in part on the second operational mode.

15 . The method of claim 14 , wherein the message further comprises trimester-specific physiological insights associated with pregnancy, a recommended wake time during which the user wakes up, a recommended bedtime during which the user goes to sleep, a recommended sleep duration, a recommended time of day during with the user rests, a request to input symptoms associated with pregnancy, educational content associated with pregnancy, or a combination thereof.

16 . The method of claim 1 , further comprising:

inputting the physiological data into a machine learning classifier, wherein providing, to the user device, the second set of targets and the second set of messages is based at least in part on inputting the physiological data into the machine learning classifier.

17 . The method of claim 1 , wherein the one or more physiological metrics comprise one or more sleep metrics.

18 . The method of claim 1 , wherein the wearable device comprises a wearable ring device.

19 . An apparatus, comprising:

a processor;

memory coupled with the processor; and

instructions stored in the memory and executable by the processor to cause the apparatus to:

receive physiological data associated with a user from a wearable device;

provide, to a user device associated with the user, a first set of targets associated with one or more physiological metrics and a first set of messages associated with the one or more physiological metrics based at least in part on the received physiological data, the first set of targets and the first set of messages associated with a first operational mode of an application associated with the wearable device that is associated with the user;

receive, via the user device, a user input comprising an indication of the user being pregnant;

identify a trigger to transition from the first operational mode to a second operational mode of the application associated with the wearable device that is associated with the user based at least in part on receiving the indication; and

provide, to the user device based at least in part on identifying the trigger, a second set of targets associated with the one or more physiological metrics and a second set of messages associated with the one or more physiological metrics that are adjusted for pregnancy and different from the first set of targets and the first set of messages based at least in part on the second operational mode.

20 . A non-transitory computer-readable medium storing code, the code comprising instructions executable by a processor to:

receive physiological data associated with a user from a wearable device;

provide, to a user device associated with the user, a first set of targets associated with one or more physiological metrics and a first set of messages associated with the one or more physiological metrics based at least in part on the received physiological data, the first set of targets and the first set of messages associated with a first operational mode of an application associated with the wearable device that is associated with the user;

receive, via the user device, a user input comprising an indication of the user being pregnant;

identify a trigger to transition from the first operational mode to a second operational mode of the application associated with the wearable device that is associated with the user based at least in part on receiving the indication; and

provide, to the user device based at least in part on identifying the trigger, a second set of targets associated with the one or more physiological metrics and a second set of messages associated with the one or more physiological metrics that are adjusted for pregnancy and different from the first set of targets and the first set of messages based at least in part on the second operational mode.