Optimizing natural language analytical conversations using platform-specific input and output interface functionality

An electronic device, comprising:

• a display;
• one or more processors;
• memory;
• and
• one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for:
• receiving a first natural language (NL) input directed to a data source, from a first client;
• parsing the first NL input into tokens based on a grammar and the data source;
• generating and outputting an intermediate NL response, to a second client, based on the tokens and output modality of the second client;
• in response to receiving a user input to provide missing information in the first NL input:
• generating an input query based on the user input;
• and
• querying the data source using the input query, to obtain a result set;
• generating and outputting, to the second client, a first NL output and a snapshot of a data visualization, based on the result set and the output modality of the second client;
• selecting an expression type for the first NL input from amongst aggregation, grouping, filtering, limiting, and sorting;
• selecting a response from a pre-defined template of responses based on the expression type;
• in accordance with a determination that the output modality of the second client includes voice-only responses:
• generating and playing, on the second client, (i) a speech output corresponding to the response and (ii) a follow-up question;
• and
• in accordance with a determination that the output modality of the second client includes a display:
• generating and displaying, on the second client, a screenshot of a corresponding visualization for the response.

A non-transitory computer readable storage medium storing one or more programs configured for execution by an electronic device with a display, the one or more programs comprising instructions for:

• receiving a first natural language (NL) input directed to a data source, from a first client;
• parsing the first NL input into tokens based on a grammar and the data source;
• generating and outputting an intermediate NL response, to a second client, based on the tokens and output modality of the second client;
• in response to receiving a user input to provide missing information in the first NL input:
• generating an input query based on the user input;
• and
• querying the data source using the input query, to obtain a result set;
• generating and outputting, to the second client, a first NL output and a snapshot of a data visualization, based on the result set and the output modality of the second client;
• selecting an expression type for the first NL input from amongst aggregation, grouping, filtering, limiting, and sorting;
• selecting a response from a pre-defined template of responses based on the expression type;
• in accordance with a determination that the output modality of the second client includes voice-only responses:
• generating and playing, on the second client, (i) a speech output corresponding to the response and (ii) a follow-up question;
• and
• in accordance with a determination that the output modality of the second client includes a display:
• generating and displaying, on the second client, a screenshot of a corresponding visualization for the response.