Techniques for interaction-based optimization of a service platform user interface

A computer-implemented method, comprising, via a processor of a computing device:

• determining a plurality of user clusters to categorize a plurality of users based on an interaction level with a computer-implemented platform, each of the plurality of user clusters determined based on at least one cluster characteristic with a context of interaction, the context of interaction associated with an engagement level and at least one of time of day, device type, or duration between visits;
• determining the context of interaction for at least one of the plurality of users interacting with the computer-implemented platform;
• determining a plurality of queries to prompt for user information from the plurality of users;
• assigning each of the plurality of queries:
• a plurality of priority values, each of the plurality of priority values indicating a priority of a query for one of the plurality of user clusters, and
• a plurality of response probability values, each of the plurality of response probability values comprising a second value indicating a probability that a user of the one of the plurality of user clusters interacts with the query, each of the plurality of response probability values determined based at least partially on the context of interaction;
• presenting a set of user queries selected from the plurality of queries for presentation to the one of the plurality of users interacting with a computer-implemented interface based on the plurality of priority values and the plurality of response probability values for the one of the plurality of user clusters associated with the one of the plurality of users;
• receiving interaction information associated with user interaction with the computer-implemented platform during presentation of the set of user queries;
• and
• modifying the set of user queries based on the interaction information.

At least one non-transitory computer-readable medium comprising a set of instructions that, in response to being executed via a processing unit of a computing device, cause the computing device to:

• determine a plurality of user clusters to categorize a plurality of users based on an interaction level with a computer-implemented platform, each of the plurality of user clusters determined based on at least one cluster characteristic with a context of interaction, the context of interaction associated with an engagement level and at least one of time of day, device type, or duration between visits;
• determine the context of interaction for at least one of the plurality of users interacting with the computer-implemented platform;
• determine a plurality of queries to prompt for user information from the plurality of users;
• assign each of the plurality of queries:
• a plurality of priority values, each of the plurality of priority values indicating a priority of a query for one of the plurality of user clusters, and
• a plurality of response probability values, each of the plurality of response probability values comprising a second value indicating a probability that a user of the one of the plurality of user clusters interacts with the query, each of the plurality of response probability values determined based at least partially on the context of interaction;
• present a set of user queries selected from the plurality of queries for presentation to the one of the plurality of users interacting with a computer-implemented interface based on the plurality of priority values and the plurality of response probability values for the one of the plurality of user clusters associated with the one of the plurality of users;
• receive interaction information associated with user interaction with the computer-implemented platform during presentation of the set of user queries;
• and
• modify the set of user queries based on the interaction information.