Tag Archive
Posts connected to the decision-tables topic.
A goal-driven ruleset does not have to answer the same question every time. Override its goals per run, from the runner or from an API call, and one set of rules can answer eligibility today and pricing tomorrow without being edited.
Every mature ruleset accumulates logic that no longer does anything. Here is how to find it in an afternoon, using the fire rates on the Analytics page and the Verify tab, and how to tell dead rules apart from rules that are merely waiting.
The new Analytics page shows how your rules behave in production: how often each rule fires, what decisions your RuleSets are producing, and how runs are turning out day by day.
Give any rule an active date window and a policy change turns itself on and off. Schedule a price change weeks ahead, retire a promotion at midnight, and prove both work with a simulated run date in your tests.
The new Verify tab reads your RuleSet without running it and tells you what is wrong: rules that can never fire, rules that duplicate each other, two rules fighting over the same value, keys nothing supplies, and input combinations no rule covers.