METHOD AND SYSTEM FOR OPTIMIZING DYNAMIC USER EXPERIENCE APPLICATIONS

1 . A method comprising:

providing, by a processor and to an electronic device, an application component executable at the electronic device to perform a step of a workflow;

receiving, by the processor, from the electronic device, and via the application component, data provided in response to a request for information;

determining, by the processor, that the data satisfies the request for information;

determining, by the processor, and based on determining that the data satisfies the request, an efficacy of the application component, wherein the efficacy is indicative of a likelihood of completing the step of the workflow; and

modifying, by the processor, and based on the efficacy, the workflow, wherein modifying the workflow increases the likelihood of completing the step of the workflow.

2 . The method of claim 1 , further comprising:

modifying, by the processor and based at least in part on the efficacy, a first profile associated with at least one of the electronic device or a user of the electronic device;

determining, by the processor, that a characteristic of the first profile matches a corresponding characteristic of a second profile associated with an additional user; and

based on the first profile matching the corresponding characteristic of the second profile, modifying, by the processor, the second profile.

3 . The method of claim 1 , wherein modifying the workflow comprises at least one of:

adding a new step,

removing the step,

modifying of an order of steps in the workflow, or

modifying a dependency between at least two steps in the workflow.

4 . The method of claim 1 , wherein the application component includes a prompt requesting the information, and the efficacy is determined based on:

a time to respond to the prompt, or

validity of data received in response to the prompt.

5 . The method of claim 1 , wherein the workflow is a first workflow and modifying the workflow comprises modifying the application component, the method further comprising:

identifying, by the processor, a second workflow including the application component; and

modifying, by the processor and based on the efficacy, the second workflow.

6 . The method of claim 1 , wherein the step is a first step and the efficacy is a first efficacy, the method further comprising:

determining, by the processor, a second efficacy associated with a second step of the workflow; and

determining, by the processor and based at least in part on the first efficacy and the second efficacy, an overall efficacy of the workflow.

7 . The method of claim 1 , wherein the workflow is modified based at least in part on an output of a machine learning algorithm, the machine learning algorithm being trained using training data including prior interactions with application components provided to perform the step of the workflow.

8 . The method of claim 1 , further comprising:

modifying, by the processor and based on the efficacy, a profile associated a user of the electronic device; and

providing, by the processor, the modified workflow to an additional electronic device, different from the electronic device, associated with the profile.

9 . The method of claim 1 , wherein the efficacy is determined based at least in part on a survey indicative of user satisfaction received from the electronic device.

10 . The method of claim 1 , wherein the step is associated with a plurality of application components, the method further comprising:

identifying, by the processor and based on a type of the electronic device, the application component from the plurality of application components.

11 . The method of claim 10 , wherein the plurality of application components includes one or more of:

a web form, a text message to be transmitted to the electronic device, or a voice interaction with the electronic device.

12 . A system comprising:

a processor; and

a non-transitory program memory operably connected to the processor and storing executable instructions that, when executed by the processor, cause the processor to perform operations comprising:

providing, to an electronic device, an application component executable at the electronic device to perform a step of a workflow;

receiving, from the electronic device, and via the application component, data provided in response to a request for information;

determining that the data satisfies the request for information;

determining, based on determining that the data satisfies the request, an efficacy of the application component, wherein the efficacy is indicative of a likelihood of completing the step of the workflow; and

modifying, based on the efficacy, the workflow, wherein modifying the workflow increases the likelihood of completing the step of the workflow.

13 . The system of claim 12 , the operations further comprising:

modifying, based on the efficacy, a profile associated with at least one of the electronic device or a user of the electronic device; and

providing the modified workflow to an additional electronic device, different from the electronic device, associated with the profile.

14 . The system of claim 12 , the operations further comprising:

receiving at least one of imaging data or audio data captured from the electronic device; and

performing at least one of a facial analysis based on the imaging data, or a voice analysis based on the audio data,

wherein the efficacy is further based on the facial analysis or the voice analysis.

15 . The system of claim 12 , wherein the workflow is a first workflow and modifying the workflow comprises modifying the application component, the operations further comprising:

identifying a second workflow including the application component; and

modifying, based on the efficacy, the second workflow.

16 . The system of claim 12 , wherein the step is associated with a plurality of application components, the operations further comprising:

identifying, based on a type of the electronic device, the application component from the plurality of application components,

wherein the plurality of application components includes one or more of:

a web form, a text message to be transmitted to the electronic device, or a voice interaction with the electronic device.

17 . A non-transitory computer readable medium containing instructions that, when executed, cause a computing device to:

provide, to an electronic device, an application component executable at the electronic device to perform a step of a workflow;

receive, from the electronic device, and via the application component, data provided in response to a request for information;

determine that the data satisfies the request for information;

based on determining that the data satisfies the request, determine an efficacy of the application component, wherein the efficacy is indicative of a likelihood of completing the step of the workflow; and

modify, based on the efficacy, the workflow, wherein modifying the workflow increases the likelihood of completing the step of the workflow.

18 . The non-transitory computer readable medium of claim 17 , wherein the application component includes a prompt requesting the information, and the instructions further cause the computing device to:

determine an indication of a time to respond to the prompt,

wherein the efficacy is determined based on the time to respond.

19 . The non-transitory computer readable medium of claim 17 , wherein modifying the workflow comprises at least one of:

adding a new step,

removing the step,

modifying of an order of steps in the workflow, or

modifying a dependency between at least two steps in the workflow.

20 . The non-transitory computer readable medium of claim 19 , wherein modifying the workflow is further based at least in part on an output of a machine learning algorithm.