MAY 2026
Trend Signal Dashboard — CXOntology
Sample Trend Signal Dashboard

The signal layer.
Eighteen months deep.

Drill into how every signal, sub-dimension, and dimension has moved over the last eighteen months. Anomaly detection, comparison primitives, and trajectory drill-down across 68 signals × 4 brands × 18 months. Use this to find the signal beneath the strategic narrative.

Nov 2024 — Apr 2026

Period

B2B SaaS

Industry profile

Apr 15, 2026

Last collection

Composite — CXO Client

67.0/ 100

Rank 3 of 5 · v6mo +2.86/mo

18-month Δ

+11.6

vs Nov 2024 · trough Aug 2025

Gap from peer median

-0.1

narrowing 0.16 pts/mo

Anomalies — current month

13

sub-dimensions deviating ≥1.8σ

i

How to read this view. Click any row in the table to focus the comparison chart on that entity. Switch granularity to drill from dimensions → sub-dimensions → signals. Anomalies above auto-surface from the most recent month's deviation from trend. Use the brand toggles in the legend to isolate trajectories.

Anomaly callouts — current month

Sub-dimensions deviating ≥1.8σ from their 17-month trend. Top 6 by absolute deviation.

Competitor 3 · Operational Footprint

Current 73.5 · expected 63.2 (trend continuation)

+1.1σ

Competitor 3 · Engineering Discipline

Current 80.5 · expected 70.3 (trend continuation)

+0.9σ

Competitor 3 · Data & Measurement Sophistication

Current 78.0 · expected 68.3 (trend continuation)

+0.9σ

Competitor 3 · Platform Modernity

Current 79.0 · expected 69.4 (trend continuation)

+0.8σ

CXO Client · Platform Modernity

Current 72.0 · expected 62.9 (trend continuation)

+0.9σ

CXO Client · Service & Support Posture

Current 70.0 · expected 61.0 (trend continuation)

+0.7σ

Composite

trajectory · last 18 months · 4 brands

455565752025-062025-082025-102025-122026-022026-042026-0574.870.867.065.556.3

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Sparkline (18mo)

Service & Support Posture

Engagement & Retention · 1 signals

70.0+12.0+25.0+4.17+2.0

Platform Modernity

Innovation & Future-Readiness · 3 signals

72.0+13.7+24.7+4.11-2.0

Data & Measurement Sophistication

Innovation & Future-Readiness · 1 signals

67.0+9.0+23.0+3.83-11.0

Engineering Discipline

Innovation & Future-Readiness · 2 signals

71.5+12.0+23.0+3.83-6.0

Lifecycle & Loyalty Mechanics

Engagement & Retention · 1 signals

64.0+9.0+23.0+3.830.0

AI / Agentic Surface Maturity

Innovation & Future-Readiness · 6 signals

67.7+11.0+20.8+3.47-11.2

Operational Footprint

Innovation & Future-Readiness · 2 signals

65.0+8.0+18.5+3.08-8.5

Trust & Credibility

Conversion · 4 signals

66.8+6.5+15.8+2.63-2.5

Funnel Friction

Conversion · 2 signals

63.0+1.5+15.0+2.50-11.5

Organic Search Authority

Acquisition · 3 signals

68.3+6.0+15.0+2.50-1.3

Personalization & Relevance

Engagement & Retention · 2 signals

61.5+11.0+15.0+2.50-9.5

Page Performance & Speed

Conversion · 10 signals

69.5+5.1+14.5+2.42-3.6

Brand-Driven Demand

Acquisition · 5 signals

62.6+7.0+13.8+2.30+0.4

Search Demand Capture

Acquisition · 6 signals

71.7+8.7+13.7+2.28+2.2

Inclusive Conversion

Conversion · 2 signals

72.0+11.0+13.5+2.25-0.5

Paid Acquisition Program Scale

Acquisition · 3 signals

62.0+7.0+11.0+1.83-4.7

AI / Answer-Engine Visibility

Acquisition · 2 signals

66.5+6.0+9.0+1.50-8.0

Methodology & Data State

How this read holds up. Methodology disclosed.

The workbench depends on transparent definitions. What's measured, how trajectories are smoothed, and how anomalies are flagged.

Cadence and back-cast

Eighteen months of monthly trajectory data; engagement state Established (4+ months of native collection plus 14 months reconstructed from public APIs and archival sources). Sub-dimension and dimension scores roll up from the underlying observations layer; raw observations are inspectable in the underlying dataset.

Composite cascade

Composite is the simple mean of its constituent dimensions; each dimension is the simple mean of its sub-dimensions; each sub-dimension is the simple mean of its signals. Industry profile drives dimension weighting at the composite level. Every roll-up is reproducible from the underlying observations layer.

Anomaly, velocity, and gap

Anomalies surface from the most recent month's deviation from the prior 17-month linear trend (residual standard deviation, current-month z-score ≥1.8σ flagged). Velocity is a 6-month rolling change. Gap vs peer median is client value minus the median of three named competitors.

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