Techniques for workflow analysis and design task optimization

One or more non-transitory computer-readable media including instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of:

• receiving, via a user interface presented on a client device, a selection of a first task that is performed via a design application;
• performing one or more operations to determine a first edge and a second edge, wherein the first edge is associated with a first user workflow for performing the first task, the second edge is associated with a first workflow graph that graphically represents a plurality of user workflows for performing the first task, and the one or more operations are based on a similarity algorithm that implements one or more machine learning functions;
• generating a modified first user workflow based on a comparison between the first edge and the second edge;
• and
• causing the modified first user workflow to be displayed via the user interface.

A computing system comprising:

• a memory that includes instructions;
• and
• a processor that is coupled to the memory and, upon executing the instructions, performs the steps of:
• receiving, via a user interface presented on a client device, a selection of a first task that is performed via a design application;
• performing one or more operations to determine a first edge and a second edge, wherein the first edge is associated with a first user workflow for performing the first task, the second edge is associated with a first workflow graph that graphically represents a plurality of user workflows for performing the first task, and the one or more operations are based on a similarity algorithm that implements one or more machine learning functions;
• generating a modified first user workflow based on a comparison between the first edge and the second edge;
• and
• causing the modified first user workflow to be displayed via the user interface.