North Star Guardrail Metrics Counterbalance Pairing
Pair actual NorthStarchange with caller counterbalancing guardrail bands and unknown evidence; improvement does not override independently breached/unobserved constraints. Caller independently verifies policy, evidence, dates and applicability; not legal/compliance advice or causal business-success prediction.
Description
A north-star improvement can be considered alongside guardrail observations.
A north-star improvement can be considered alongside guardrail observations.1
Meeting a target and preserving known guardrails are separate results, with unknown guardrails remaining unresolved. Use this tool to calculate north Star Guardrail Metrics Counterbalance Pairing from the supplied measurements and assumptions.
When to use North Star Guardrail Metrics Counterbalance Pairing
Use this tool to calculate north Star Guardrail Metrics Counterbalance Pairing from the supplied measurements and assumptions. Establish the business period, event definitions, jurisdiction or agreement edition, and independently documented evidence or comparison rubric.
How to use North Star Guardrail Metrics Counterbalance Pairing and understand its results
- Establish the business period, event definitions, jurisdiction or agreement edition, and independently documented evidence or comparison rubric.
- Enter observedNorthStarChange, callerDesiredNorthStarMinimum, observedGuardrailChanges, callerGuardrailLowerBounds, callerGuardrailUpperBounds, knownGuardrailFlags, using the field meanings and rules below, then run the tool.
- Read northStarTargetReached, knownGuardrailViolationIndices, unknownGuardrailIndices. Interpret the fields using their units, signs and evidence conventions below.
- If input validation fails, correct the reported field and run again. Before applying the result, check reference scope, model assumptions and any missing evidence or placeholder values.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| observedNorthStarChange | Observed north star change | number | Required |
| callerDesiredNorthStarMinimum | Caller desired north star minimum | number | Required |
| observedGuardrailChanges | Observed guardrail changes | list of number | Required |
| callerGuardrailLowerBounds | Caller guardrail lower bounds | list of number | Required |
| callerGuardrailUpperBounds | Caller guardrail upper bounds | list of number | Required |
| knownGuardrailFlags | Known guardrail flags; binary 1=known, 0=unknown, in the order described below | list of number | Required |
Enter finite observed north-star change and target plus nonempty aligned guardrail observations, ordered lower/upper bounds and binary known flags. Target is met when change≥target. Return separate known guardrail violations and unknown guardrail indices, with no aggregate proceed decision or causal inference.
targetMet=(change≥target); violations={known and outside inclusive bounds}; unknown={known=0} Use the exact units, boundary rules, ordering and missing-evidence conventions above.
| Output field | Meaning | Value type |
|---|---|---|
| northStarTargetReached | North Star Target Reached; follow the units, sign, ordering and evidence convention stated above | boolean |
| knownGuardrailViolationIndices | Known Guardrail Violation Indices; follow the units, sign, ordering and evidence convention stated above | list of values |
| unknownGuardrailIndices | Unknown Guardrail Indices; follow the units, sign, ordering and evidence convention stated above | list of number |
{
"input": {
"observedNorthStarChange": 10,
"callerDesiredNorthStarMinimum": 0,
"observedGuardrailChanges": [
-1,
5
],
"callerGuardrailLowerBounds": [
-2,
0
],
"callerGuardrailUpperBounds": [
2,
3
],
"knownGuardrailFlags": [
1,
0
]
},
"output": {
"northStarTargetReached": true,
"knownGuardrailViolationIndices": [],
"unknownGuardrailIndices": [
1
]
}
} Limitations and assumptions
Meeting a target and preserving known guardrails are separate results, with unknown guardrails remaining unresolved. Interpretation depends on the units, sampling scope and exact model described above.
All listed fields require explicit values. Unexpected fields, incorrect types, nonfinite numbers and sparse evidence arrays fail validation; the specific bounds and alignment requirements are stated above. Extremely large inputs or outputs can also be rejected. An input error is distinct from a successful result reporting false, no matches or missing evidence.
Alternative or Complementary methods
Use North Star Metric Selection Tree for this related task: A north-star metric should represent an independently chosen business objective.
Use Beachhead Segment Early Adopter Selector Grid when its separate inputs and assumptions fit the question: An early-adopter comparison uses independently defined segment criteria and weights.
References
Similar or alternative tools
- North Star Metric Selection Tree
A north-star metric should represent an independently chosen business objective.
- Beachhead Segment Early Adopter Selector Grid
An early-adopter comparison uses independently defined segment criteria and weights.