Musewoods · GroveThe Musewoods Field Manual

Analytical System

Musewoods treats analytical work as part of an argument rather than as a dashboard bolted onto a page. The author begins by deciding what the reader needs to notice, what structure explains it, and what evidence makes the interpretation inspectable. Existing editorial and analytical motifs are then composed to do those jobs: an outcome, thesis, quote, or concise chart can establish a signal; a chart, Matrix, analysis grid, or Mermaid diagram can reveal pattern; and Drilldown, Ledger, notes, or sourced figures can expose the evidence beneath the interpretation.

This page has two purposes. The first half demonstrates the shared analytical primitives through one illustrative governance scenario. The chart section then switches deliberately into implementation specimens drawn from the canonical chart data used by Musewoods. Those figures exercise the chart engine; they are not presented as empirical evidence for the governance scenario above them.

The Signal

A useful analytical composition normally begins with one bounded claim before it introduces structure. The example below is intentionally illustrative: the number gives the reader something concrete to interrogate, while the Lens, Matrix, and Drilldown demonstrate three different ways to make the reasoning behind that claim visible.

The Signal, As A Number

73%

of delegated decisions reached commit unverified.

The Reading — Lens

Who may legitimately act?

Read through authority, the number is about delegation: decisions are being made by actors whose mandate to make them was never explicitly granted. The gap is therefore a governance-design problem before it is a tooling problem.

The Pattern — Matrix

Governance capability by delegated actor
The Pattern — Matrix — 3 rows by 6 columns.
FullFullPartialAbsentAbsentAbsent
FullFullFullFullPartialAbsent
FullFullFullFullAbsentAbsent

Full, partial, or absent capability.

Verification is the column that thins first as authority extends.

Source Studio analysis, illustrative

The Pattern — Charts

Charts normalize into one shared ChartSpec regardless of the field that hosts them. The model carries analytical intent — chart type, dimensions, measures, sort, axis semantics, labels, annotations, and interaction — while the data reference is resolved separately and the renderer owns geometry. Field adapters define the safe area and editorial treatment around the figure; they do not fork the analytical engine.

The three figures below are representative engine specimens rather than one continuous dataset. The exhaustive chart inventory belongs in the canonical Journal gallery, Charts across Musewoods, where every registered family can be exercised without turning this Guide page into a chart catalog.

Divergence, As A Chart

Contribution by pathway
Positive and negative contributions on a shared zero.Diverging bar chart of eight pathways; renewal revenue and delivery margin are strongly positive, support cost and rework are negative.−10−6−22610Renewal revenueDelivery marginCustomer retentionWorking capitalSupport costOnboarding timeRework hoursEscalations8.45.13.21.1−2.6−4.3−6.8−9.5Fit: FITPlot: 774 × 504 (77% of frame)Labels: 16 rendered · 0 moved · 0 clipped · 0 unresolvedAxes: x 6 · y 0

Positive and negative contributions on a shared zero.

Source Illustrative Musewoods data

Correlation, As A Chart

Readiness versus outcome
Each point is one team; series groups indicate readiness bands.Scatter plot of readiness against outcome for a dozen teams, grouped Low, Medium, High; outcome rises with readiness.0102030405001234567892 · Low3 · Low5 · Medium6 · Medium8 · High9 · HighLowMediumHighFit: FITPlot: 939 × 466 (83% of frame)Labels: 0 rendered · 0 moved · 0 clipped · 0 unresolvedAxes: x 10 · y 6

Each point is one team; series groups indicate readiness bands.

Source Illustrative Musewoods data

From Relationship To Composition

The first specimen compares contributions around a common zero and the second examines relationship between two measures. A treemap answers a different question entirely: where does the whole sit across a hierarchy? Breaking the run before the next figure makes that analytical change explicit instead of presenting three unrelated chart families as one uninterrupted visual rhythm.

Composition, As A Chart

Where the value sits
Share of value by segment.Treemap of five value segments; revenue is the largest tile, learning and enablement the smallest.Revenue34.2Margin protection26.4Delivery operations16.8Risk reduction13.1Learning andenablement11.4Customer retention9.7Working capital release8.3Governedautomation7.1Vendorconsolidation5.9Complianceattestation4.6Supportdeflection3.2Legacy…Fit: FITPlot: 708 × 408 (93% of frame)Labels: 12 rendered · 0 moved · 0 clipped · 0 unresolvedAxes: x — · y —

Share of value by segment.

Source Illustrative Musewoods data

Interaction Grammar

ModeWhat it doesWhere it is permitted
noneStatic; the first frame carries the whole argumentevery family
inspectReveal precise evidence about one mark on hover, focus, or tapevery family
focusReduce visual competition around one persistent selectionsupported families
compareHold a small set of selections side by sidesupported cartesian families
exploreManipulate the analytical space rather than merely reveal marksdeliberately restricted

Interaction passes through two gates: the chart family's engine capability in lib/chart/interaction.mjs, and the editorial permission granted by the host field in lib/chart/adapters.mjs. Unsupported combinations fail validation instead of silently degrading into something else. The first frame must still carry the argument; interaction can reveal precision, sustain comparison, or open exploration, but it should never be required to discover what the chart is fundamentally saying.

The Evidence — Drilldown

Delegated systems, assessed

Strong analytical semantics; a person remains the decision and the check.

Acts within a bounded scope; verification is self-reported, not independent.

Full authority to the point of action; no independent verification stage.

From Signal To Inspectable Evidence

The governance example on this page demonstrates one analytical composition: a signal becomes two authored readings, the Matrix exposes the pattern behind those readings, and the Drilldown makes each assessment inspectable. The chart specimens demonstrate the second half of the system: a shared engine that can express different analytical jobs without leaking geometry into authored content. Together they show the governing principle of Musewoods analytics — make the argument legible in the first frame, then make the reasoning and provenance progressively inspectable.

Resonance Signals Are Not Analytical Content

bounded-journey-signals

The eight registered Resonance events describe delivery, entry, engagement, depth, field crossing, Grove reach, Follow creation, and Return. They are a bounded operational grammar using opaque actor identifiers, not a generic source of events for authors to query directly inside Story, Journal, or Grove analytical motifs.

authored-analysis

Charts, Lens, Matrix, and Drilldown remain authored evidence surfaces with their own semantic and provenance contracts. If Resonance rollups later become a dataset for editorial analysis, they should enter through the normal logical data-resolution seam rather than creating a Resonance-specific chart engine or letting presentation components read the event store directly.

For the authoring contract behind Lens, Matrix, and Drilldown, see Shared Cross-Field Motifs on Authoring Grammar. For the bounded journey-event contract, see Resonance System. For registry-derived implementation status and coverage, see System Health.