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Canonical: https://semiotic.nteract.io/examples/insight-forge
The Insight Forge
Synthetic case file.Synthetic Wayfinder Supply Co. shipments; no customer or carrier records are real. Outcomes are complete thirty days after shipment, so the rates shown here are not right-censored.
Current questionWhen did the problem appear?Full dataset in view9,600 / 9,600 rows
Thirty-day return rate by shipment date
May 15–29 · completed outcomes · baseline 3.7%
The author has marked 3 features on this chart: a threshold line labeled "Nonincident baseline 3.7%", a highlighted band labeled "Incident window (proposed)", and a threshold line labeled "Insert B rollout". A line chart of rate by time, split by series. rate ranges from 0.02 (1.7T) to 0.1 (1.7T), with a mean of 0.05 across 90 points. This is an alerting chart; watch for points that break from the rest.
- The author has marked 3 features on this chart: a threshold line labeled "Nonincident baseline 3.7%", a highlighted band labeled "Incident window (proposed)", and a threshold line labeled "Insert B rollout". A line chart of rate by time, split by series. rate ranges from 0.02 (1.7T) to 0.1 (1.7T), with a mean of 0.05 across 90 points. This is an alerting chart; watch for points that break from the rest.
- X axis: time, 1.7T to 1.8T.
- Value axis: rate, 0.02 to 0.1.
- Series Seven-day return rate: The author has marked 3 features on this chart: a threshold line labeled "Nonincident baseline 3.7%", a highlighted band labeled "Incident window (proposed)", and a threshold line labeled "Insert B rollout". rate ranges from 0.02 (1.7T) to 0.1 (1.7T), with a mean of 0.05 across 90 points.
- Annotations: 3 marked features.
The incident rises to 9.4% against a 3.7% nonincident baseline.
Incident band is proposed; collect and test it before accepting a claim.
Current semantic artifact · anomalyReturn-rate spikeMay 15–29: 152 returns among 1,617 completed shipments, 9.4% versus a 3.7% baseline.
n = 1,617
Rule-based interpreterGrounding, not a model call
This is an alerting chart; watch for points that break from the rest.
Reader groundingThe author has marked 3 features on this chart: a threshold line labeled "Nonincident baseline 3.7%", a highlighted band labeled "Incident window (proposed)", and a threshold line labeled "Insert B rollout". A line chart of rate by time, split by series. rate ranges from 0.02 (1.7T) to 0.1 (1.7T), with a mean of 0.05 across 90 points.
First ingredientSelect an item in the satchel
Second ingredientSelect an item in the satchel
Recipe resultNo compatible recipe yet
Compatibility previewChoose two satchel items. Ingredients are referenced, never consumed.
Anomaly + DenominatorAppraise the Signal
Anomaly + SegmentCut a Cohort
Filter + PathFrame a Hypothesis
Hypothesis + CounterevidenceTest the Attribution
Insight + Saved ViewBind Knowledge to a View
Final lessonThe charts did not agree because they looked alike. They agreed because the same semantic evidence survived translation from time, to categories, to flows, to cohorts.
Implementation lessonSemiotic renders four analytical chart forms and the scoped-value readouts. Its observation, grounding, audit, annotation lifecycle, navigation, and config surfaces make the artifacts portable. The satchel and forge are ordinary React.
onObservation normalizes transient chart events.describeChart and buildReaderGrounding reinterpret each room.validateProps, diagnoseConfig, andauditAccessibility power the Appraisal Desk.toConfig, fromConfig, and configToJSX preserve saved views.