Dynamically-guided problem resolution using machine learning

A non-transitory computer-readable storage medium comprising program instructions, which, when executed by one or more processors of a computing system, perform a method comprising:

• receiving outcome information at a machine learning system, wherein
• the outcome information is associated with an action of an action flow, and
• the action flow comprises a plurality of actions;
• generating update information, wherein
• the update information is generated by the machine learning system based, at least in part, on the outcome information;
• and
• updating action information of the action, wherein
• the action information is updated based, at least in part, on the update information.

A system comprising:

• one or more processors;
• and
• a computer-readable storage medium coupled to the one or more processors, comprising
• program instructions, which, when executed by the one or more processors,
• perform a method comprising
• receiving outcome information at a machine learning system, wherein
• the outcome information is associated with an action of an action flow, and
• the action flow comprises a plurality of actions,
• generating update information, wherein
• the update information is generated by the machine learning system based, at least in part, on the outcome information, and
• updating action information of the action, wherein
• the action information is updated based, at least in part, on the update information.