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rule, rules, how, to, documentation, index, overview, interpret, logic, types, of, run, results,

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rules documentation index fetch the complete documentation index at https documentation decisions com llms txt use this file to discover all available pages before exploring further search ctrl k press ctrl k to open search powered by rules updated published on apr 28 2026 2 minute s read focus print copy page copy as markdown for llms view as markdown view the page as plain text open in chatgpt ask chatgpt about this page open in claude ask claude about this page prev next overview a rule is a designer element used to evaluate data against a set of pre configured conditions rules can be used to output resulting data to a flow or as a response to an api call show hide form controls filtering a report page rules are created within the rule designer which provides a visual workspace to view and define the logic rules also have varying types ranging from simple statement rules to complex truth tables the user sets the conditions that are being evaluated the meaning of a true result and the meaning of a false result the rules engine is one of the most powerful features in decisions and mastering it is the best way to unlock the platform s full potential how to interpret rule logic rules are made of logical statements that by default return a boolean value of true or false usually this comes in the form of if then statements there are two types of boolean logical statements if and as well as either or if and requires multiple conditions to be true for the rule to output true the below example shows a two part if and but any number of conditions are allowable either or is less constraining than if and merely requiring that one condition in a series be true for the rule to output true the example below uses two conditions but any number of conditions are possible types of rules name description statement rules if then statements truth table if and statements in a table format produces a list of results sequential rules flow behavior that allows several rules to connect together expression rules uses an algorithm to determine the result matrix rules uses a table to allow different inputs to trigger user set outputs other than true or false rule sets a grouping of rules or flows based on a common connection consolidated in a flow interceptor rules catch invalid data in the workflow process tree rule similar to matrix rules but with branching paths rule chain uses a special designer tool to create a path of rules that can branch depending on the rule results often used in questionnaires rule table allows complex and statements that can return data like a matrix rule external truth table a truth table that uses external sources to create rows how to run a rule there are three methods for running a rule these are workflow scheduled job and api within a flow there are steps to run rules many simple rules are already configured and can be dragged from the toolbox onto the canvass just like steps for more view the default rule page scheduled jobs can also be configured to run rules at set times rules can also be run via api external systems can submit data through integrations in json or xml format into decisions trigger a rule and then export out the results in json or xml rule results as discussed above the default rule results are true or false however there are other types of results that can be generated specific data can be returned based on the result of a rule this is seen in matrix rules results can be used to trigger other actions a false result could be used to cause another designer element to activate such as another step for further information on rules visit the decisions forum tags truth table rules decisions platform ai orchestration get pricing install resources videos events articles organization our company partners careers contact us connect
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