108,407 signals ingested
·Last updated Feb 27, 2026 · 09:14 AM
CIO

Organizational Network Analysis

Hidden influencer health, cluster adoption risk, and immune system signals — sourced from Slack/Teams metadata

Immune System Risk: HIGH
8
Total Influencers Tracked
across all initiatives
3
Active Champions
amplifying the change
3
Silent / Resistant
immune system risk
71%
Adoption Forecast
if current ONA trends hold

Immune System Rejection Risk — 3 of 8 top influencers are silent or resistant

Hidden influencers are the "immune system" of the organization. When they go silent or resist, the rest of the org follows — even if official metrics show progress. The current pattern mirrors a transplant rejection: the body (org) is performing the motions while the immune system (influencers) fights the change. Adoption forecast is capped at 71% unless this is addressed.

Influence vs. Engagement Map

High-influence / low-engagement quadrant = highest governance risk. These are the people others follow who have gone quiet.

Low Influence · High Engagement
High Influence · High Engagement
← Champions Zone
Low Influence · Low Engagement
High Influence · Low Engagement
← Danger Zone
0255075100Influence Score →0255075100Engagement →PriyaJamesMeiCarlosAishaDanielRachelTomKenjiAmaraTom
champion
passive
silent
resistant
· Circle size = network reach

ONA Health Dimensions

Network health across 6 dimensions

Champions ActiveEngagement AvgNetwork ReachVoluntary ParticipationPsych SafetySignal Amplification

Cluster Adoption Risk

Department clusters ranked by influencer health and adoption rate. Clusters with silent/resistant key influencers are highest risk.

ClusterKey InfluencerCluster SizeAdoption RateStatusRisk Flag
Core Services
Engineering
Carlos Rivera
67
52%
criticalKey influencer showing resistance — adoption at risk
Infrastructure
Engineering
Mei Lin
58
61%
criticalTop influencer silent for 3 weeks — immune system rejecting change
Security
Security
Rachel Osei
29
48%
criticalInfluencer completely silent — highest risk cluster
Product
Product
James Okafor
43
74%
warningKey influencer disengaged — passive compliance risk
Platform Engineering
Engineering
Priya Nair
84
81%
healthyNo active risk flags
Design
Design
Aisha Thompson
31
89%
healthyNo active risk flags

Top Influencer Profiles

Ranked by influence score — the people others go to for advice. Their stance determines the org's immune response.

ONA-Driven Recommended Actions

Synthesized from network analysis — prioritized by influence score and risk level

1

Activate Priya Nair and Aisha Thompson as formal change champions with dedicated enablement budget

2

Schedule 1:1 with Mei Lin and Rachel Osei within 48 hours — understand and address their concerns

3

Assign Carlos Rivera's team a dedicated support DRI to reduce overwhelm signal

4

Re-engage James Okafor with a direct ask: "What would make you a champion for this?"