Class S
Statutory
blockscoreval: +1
Absent or worse blocks. Hard regulatory floor.
How we listen
Scoring, in plain steps.
Scoring here is how we listen, not how we judge. You describe what your everyday practice looks like; we summarise where it stands and what is most worth attention next.
What the score is, plainly
The score is a short profile of your practice across a small number of areas. It can show where a practice is doing measurable harm; it can show where a practice is established and reliable. It is not a single number you carry around.
When something needs attention first
A few items in the model are blockers — they need to be addressed before any higher claim makes sense. The self-score surfaces them gently, in everyday terms, so you can see what to look at first without needing the rule-set.
Honest about who your peers are
Comparisons only mean something between hives of similar shape. The model carries the shape with every result so a number from a small contained hive is never quietly compared to one from a regulated multi-vendor hive.
Why this is hard to game
A handful of quiet rules keep the model honest: claims must come with the shape they were measured in, comparisons must come with their cohort, and the result lists what was uncertain along with what was confident.
Self-score
What does your practice look like, in everyday terms?
Below are short observations from everyday work. Pick the one closest to what you usually see. "Not sure" is a real answer here — it lowers our confidence rather than your score.
How far along
You can stop at any prompt. Nothing is sent until you say so.
Here is what we noticed
This is a short read of your practice in plain language. None of these are verdicts; they are starting points for a conversation, including a conversation with us.
Looks established
Most worth attention next
How confident we are
A small next step
Show the technical detail behind this
A technical view of this Profile is available below. The path-engine produces structured outputs (item-codes, signed scores from minus-three to plus-five, blocker classes S/M/A, weakest-dimension and Confidence-Factor letter-codes); the rendered Profile JSON will arrive once the backend endpoint is wired.
{ "profile_pending": true, "engine": "self-score-walkthrough", "answers": [] }Show the technical detail behind this
Signed-score scale (-3 to +5)
| Score | Meaning | Evidence implication |
|---|---|---|
-3 | Severe active harm | Documented adverse outcome attributable to practice gap. |
-2 | Active harm | Measurable degradation; remediation required. |
-1 | Mild active harm | Triggers a Class-A blocker review. |
0 | Absence | Practice missing, not actively harming. |
+1 | Initial | Practice exists but ad-hoc. |
+2 | Repeatable | Two or more cycles of evidence retained. |
+3 | Defined | Standardised across the hive. |
+4 | Managed | Quantitatively managed with telemetry. |
+5 | Optimising / exemplar | Continuous-improvement evidence; cited as reference. |
Blocker classes
Class M
Maintenance
blockscoreval: 0
Regression blocks. Drift below baseline triggers a block.
Class A
Active-harm
blockscoreval: -1
Only active-harm blocks. Evidence of measurable damage required.
Cohort tiers
Cohort-A
Tier A
Criterion: Exact type-set + exact axis-vector match (incl. quorum_size bucket)
Citability: Citable as a HiveCraft level rating.
Cohort-B
Tier B
Criterion: Type-set superset + non-conflicting axis-flag match
Citability: Marked non-citable cross-shape.
Cohort-C
Tier C
Criterion: Matching primary-type only; axis-flags may differ
Citability: Marked non-citable cross-shape.
Sample profile rendering: L4 [MV+MI+REG] | A:L5 · B:L4 · C:L4 · D:L3 | weakest D6=L1 | C1 | cohort-tier:A (n=3)