Interactive Structured Analytic Systems

A system for solving a problem by offsetting cognitive bias, the system comprising:

• a plurality of data sources;
• at least one user;
• a display;
• and
• an analytics application communicably coupled to the plurality of data sources and the at least one user, wherein the analytics application:
• receives a question from the at least one user using the display, wherein the question is among a network of questions;
• receives hypotheses from the at least one user using the display;
• generates, by a query module, a plurality of queries using a natural language module, wherein the natural language module incorporates natural language into the plurality of queries, wherein the plurality of queries are based on the question and the hypotheses;
• sends the plurality of queries to the plurality of data sources;
• receives data from the plurality of data sources in response to the plurality of queries;
• evaluates the data to generate evaluated data;
• presents, to the at least one user using a triage module on the display, the evaluated data;
• receives, from the at least one user by the triage module on the display, a first selection of at least one data item of the evaluated data;
• converts, by the triage module, the at least one data item into evidence;
• receives a second selection of the evidence applied to a hypothesis among the hypotheses;
• evaluates, by an assessment module, the hypothesis against the question;
• presents, by the assessment module on the display, an assessment of the hypothesis against the question based on an analysis by a hypotheses manager;
• and
• receives, from the at least one user on the display, confirmation that the hypothesis answers the question.

A non-transitory computer-readable medium comprising instructions that, when executed by a hardware processor, perform a method for solving a problem, the method comprising:

• receiving a question from a user using a display, wherein the question is among a network of questions;
• receiving hypotheses from the user using the display;
• generating, by a query module, a plurality of queries using a natural language module, wherein the natural language module incorporates natural language into the plurality of queries, wherein the plurality of queries is based on the question and the hypotheses;
• sending the plurality of queries to a plurality of data sources;
• receiving data from the plurality of data sources in response to the plurality of queries;
• evaluating the data to generate evaluated data;
• presenting, to the user using a triage module on the display, the evaluated data;
• receiving, from the user by the triage module on the display, a first selection of at least one data item of the evaluated data;
• converting, by the triage module, the at least one data item into evidence;
• receiving a second selection of the evidence applied to a hypothesis among the hypotheses;
• evaluating, by an assessment module, the hypothesis against the question;
• presenting, by the assessment module on the display, an assessment of the hypothesis against the question;
• and
• receiving, from the user on the display, confirmation that the hypothesis answers the question.