Classifiers

New classifier

Reusable decision classifiers for decision models such as TypeSafe's Jev and the open-weight Kev. Each classifier asks one constrained question about a state, and your code acts on the answer. Chains show how classifiers combine, with branches driven by outcomes.

Educational catalog. Nothing here calls a model. Example outcomes are illustrative judgments written for teaching, not model outputs, scores or accuracy claims. Sourced documentation is labelled separately.

Classifiers

4 classifiers
ChoiceFeedback & research

Cancellation reason

Categorize why a customer is cancelling, for product and pricing insight. The cancellation always goes ahead.

Too expensiveMissing featureSwitching toolsNot using enough+3
F@f
Used in 1 chain0
ChoiceFeedback & research

Feature request specificity

Tell whether a feature request explains the user's problem, only proposes a solution, or is a vague wish.

Add to research backlogAsk for the use caseCount toward themeResearcher reads it
F@f
Used in 1 chain0
ScoreFeedback & research

Feedback sentiment

Rate how positive or negative a piece of feedback is, with neutral and mixed in the middle.

NegativeNeutral or mixedPositiveUnscored
F@f
Used in 1 chain0
ChoiceFeedback & research

Feedback topic

Tag a piece of product feedback with its main topic: usability, performance, pricing, missing feature, bug or praise.

UsabilityPerformancePricingMissing feature+3
F@f
Used in 1 chain0

Decision chains

2 chains

Complete flows that reuse the classifiers above, with branches driven by outcomes.