Change Management 2.0
Replace surveys and checkpoints with telemetry-driven adoption, behavioral nudges, and predictive interventionsthat drive real-time course correction.
Traditional Change Management Is Broken
The Prosci/ADKAR playbook worked in 2005. But in a world of continuous delivery, distributed teams, and AI-augmented workflows, quarterly surveys and training checkpoints can't keep pace. By the time you know there's a problem, it's too late.
Core Capabilities
The Change Technology Stack
- Real-Time Adoption Tracking
Instrument your applications with behavioral telemetry to track feature adoption, workflow completion rates, and user journey friction points.
- ✓Track adoption by persona, department, and geography
- ✓Identify drop-off points and friction in workflows
- ✓Measure time-to-proficiency by role
- Behavioral Nudge Engine
Deploy contextual micro-interventions triggered by user behavior patterns, resistance signals, or workflow deviations.
- ✓Contextual in-app guidance at point of need
- ✓Personalized nudges based on adoption curve position
- ✓A/B tested intervention effectiveness
- Sentiment Analytics
Continuous measurement of sentiment through pulse surveys, NPS tracking, and passive signals from support tickets and Slack.
- ✓Early warning signals for change fatigue
- ✓Segment-specific sentiment tracking
- ✓Correlation of sentiment with adoption rates
- Resistance Pattern Recognition
ML models that detect resistance patterns before they become blockers, enabling proactive intervention.
- ✓Predict resistance 2-3 weeks before manifestation
- ✓Identify high-risk segments for targeted support
- ✓Track effectiveness of intervention strategies
Reference Technology Stack
Build your change telemetry stack in layers, starting with instrumentation and scaling to predictive interventions.
Maturity Model
Four Levels of Change Management Maturity
Change managed through checkpoints, surveys, and readiness gates
- •Manual tracking
- •Quarterly surveys
- •Email-based communication
Behavioral data captured, dashboards built, but interventions are manual
- •Event tracking live
- •Adoption dashboards
- •Weekly reviews
Automated micro-interventions triggered by behavior patterns
- •Contextual in-app guidance
- •Segment-specific nudges
- •A/B testing
ML models predict resistance, recommend interventions, close the loop
- •Predictive analytics
- •Automated interventions
- •Continuous learning
Real-World Use Cases
ERP Transformation
- ✓82% adoption in 90 days
- ✓40% reduction in support tickets
- ✓Employee NPS +32 points
Cloud Migration
- ✓78% adoption in 6 months
- ✓50% faster deployment frequency
- ✓60% reduction in incidents
Ready to Move from Surveys to Telemetry?
Take our maturity assessment to benchmark your change management capabilities and get a personalized roadmap.