Example 11: Current Reality Tree (CRT)

A root cause analysis graph showing how causes lead to undesirable effects:

vgraph salesDecline: CRT "Sales Decline Analysis" {
    // Undesirable Effects (problems at the top)
    node ude1: UndesirableEffect "Sales revenue declining";
    node ude2: UndesirableEffect "Customer complaints increasing";
    node ude3: UndesirableEffect "Market share decreasing";

    // Intermediate Effects (neutral outcomes in the causal chain)
    node ie1: IntermediateEffect "Customers switching to competitors";
    node ie2: IntermediateEffect "Product perceived as outdated";
    node ie3: IntermediateEffect "Support response time is slow";

    // Desirable Effects (things we want to keep)
    node de1: DesirableEffect "Brand reputation still strong";

    // Given (unchangeable facts at the bottom)
    node g1: Given "Market is highly competitive";
    node g2: Given "Customer expectations keep rising";

    // Changeable (root causes we can address)
    node c1: Changeable "Product development cycle is too long";
    node c2: Changeable "Support team is understaffed";
    node c3: Changeable "No customer feedback loop";

    // Junctor for combining conditions
    node and1: AndJunctor "";

    // Root causes leading to intermediate effects
    edge c1 -> ie2: changeable_causes_intermediate;
    edge c3 -> ie2: changeable_causes_intermediate;
    edge c2 -> ie3: changeable_causes_intermediate;

    // Given facts contributing to situation
    edge g1 -> ie1: given_causes_intermediate;
    edge g2 -> and1: given_to_and_junctor;
    edge ie2 -> and1: intermediate_to_and_junctor;

    // And junctor combining conditions
    edge and1 -> ie1: and_junctor_causes_intermediate;

    // Alternative causes (implicit OR — any single arrow into ude2 is sufficient)
    edge ie1 -> ude2: intermediate_causes_undesirable;
    edge ie3 -> ude2: intermediate_causes_undesirable;

    // Intermediate effects leading to undesirable effects
    edge ie1 -> ude1: intermediate_causes_undesirable;
    edge ie1 -> ude3: intermediate_causes_undesirable;

    // Brand reputation affected but still positive
    edge ie2 -> de1: intermediate_causes_desirable;
}

Note: CRT graphs flow bottom-to-top, with root causes (Given and Changeable) at the bottom and Undesirable Effects at the top. CRT uses sufficient-cause logic: multiple unjoined arrows into the same effect are read as OR (any one is sufficient). The AndJunctor is the explicit exception, indicating multiple conditions that must be true together. Labels for junctors are typically empty as the icon conveys the meaning.