Reading Org Intelligence Dashboards

The Organizational Intelligence section of Cursus surfaces continuous measurement of your organization's capacity to absorb and sustain change. These dashboards are distinct from program-level readiness — they measure the underlying organizational health that either enables or constrains every change initiative running through it.

Org Pulse

Org Pulse is the composite organizational health score. It aggregates signals across four domains:

• PsyCap (psychological capital)
• Organizational climate
• Absorptive capacity
• Network health

The composite score ranges from 0–100. The score is displayed alongside a breakdown of each contributing domain and a 90-day trend line.

Org Pulse is not a vanity metric — it is an early warning system. A declining Pulse score three to six months before a major release is a leading indicator of adoption risk.

PsyCap (Psychological Capital)

PsyCap measures the psychological resources your workforce brings to change. It is computed across four dimensions:

• Self-efficacy — Confidence that they can execute what's being asked of them
• Hope — Belief that the path forward is achievable and that they can navigate obstacles
• Resilience — Ability to recover from setbacks and maintain performance under stress
• Optimism — Expectation that change will lead to positive outcomes

Each dimension is scored separately and aggregated into an overall PsyCap index. Groups with low self-efficacy need different support than groups with low optimism — the breakdown matters for intervention design.

Organizational Climate

Climate measures the conditions in which work happens:

• Psychological safety — Do people feel safe raising concerns, admitting mistakes, and asking questions?
• Trust — Do employees trust leadership's intentions and competence?
• Communication quality — Is information flowing clearly and in time for people to act on it?
• Change fatigue — How saturated is the organization with competing change demands?

Low psychological safety is the most significant climate risk during change. It predicts underreporting of problems until they become crises.

Absorptive Capacity

Absorptive capacity measures the organization's ability to acquire, assimilate, and apply new knowledge and practices. It is particularly relevant during technology and process changes, where learning speed is a direct adoption constraint.

High absorptive capacity organizations have strong internal knowledge networks, managers who coach rather than direct, and a history of successfully integrating prior changes. Low absorptive capacity signals that training, enablement, and learning support need to increase proportionally to the scale of the change.

Dynamic Capabilities Index (DCI)

The DCI measures organizational agility — how well the organization can sense change signals, seize opportunities, and reconfigure resources in response. It is the most forward-looking of the intelligence indices.

A high DCI indicates the organization can adapt without requiring heavy-handed change management. A low DCI indicates the change management function needs to compensate with more active intervention to achieve the same adoption outcome.

Snapshot Mode vs. Continuous Mode

How fresh the data is depends on your connected integrations:

• Continuous Mode — Active integrations (communication metadata, ERP telemetry, calendar) produce rolling updates. Scores refresh on the configured interval (default: daily).
• Snapshot Mode — Practitioner-entered assessments and periodic surveys produce point-in-time snapshots. Scores update when a new snapshot is entered.

Most organizations operate in a hybrid: some indices are continuous (where integrations are active) and others are snapshot-based (where they are not). The data freshness indicator on each metric shows when the underlying data was last updated and which mode it is in.

Signal source attribution

Every score in the Org Intelligence dashboards includes a source attribution indicator. Click the info icon on any metric to see:

• Which signal sources contributed
• The relative weight of each source
• The date of the most recent data point per source

This transparency is intentional — it helps practitioners assess confidence in a score and identify which integrations would most improve data quality.