Use Cases: Sensors in Action
See how extensible sensors uncover organizational physics across different data sources. Each use case demonstrates tension measurement, signal detection, and behavioral pattern analysis.
Sentiment vs. Action: Belief-Behavior Gap
Combining communication pattern sensors with engagement survey sensors to measure the gap between what people say (belief) and what they do (behavior). This cross-sensor analysis reveals where organizational intent diverges from reality.
Analyzes collaboration patterns across communication platforms to measure actual behavior:
- →Who communicates with whom (network structure)
- →Information flow patterns (silos vs. collaboration)
- →Tool adoption and engagement depth
- →Response time and interaction velocity
Source-agnostic: Works across any communication platform
Processes sentiment and belief data from survey responses to measure stated preferences:
- →Self-reported collaboration scores
- →Perceived innovation and agility
- →Stated tool proficiency and satisfaction
- →Leadership and culture assessments
Source-agnostic: Works with any survey or feedback platform
By comparing these two sensors, TensoryX reveals the belief-action gap—where organizational self-perception diverges from actual behavior patterns. This gap is a powerful signal for intervention priorities.
Example Signal 1
Survey: "We're highly collaborative" (8.5/10)
Behavior: 23% cross-team communication
Gap: Siloed execution despite collaborative intent
Example Signal 2
Survey: "We value data-driven decisions"
Behavior: Reports consistently go unread
Gap: Aspiration without behavioral change
Example Signal 3
Survey: "Proficient with new tools"
Behavior: Shallow engagement, feature avoidance
Gap: Training needed, not just access
Why This Matters
Organizations invest millions in transformation initiatives based on sentiment surveys that report high engagement, collaboration, and innovation scores. Yet adoption fails, silos persist, and AI investments amplify dysfunction instead of solving it.
Why? Surveys measure belief, not behavior. People say what they think is expected, what they aspire to be, or what they hope is true. Actual behavior—revealed through communication patterns—tells a different story.
Cross-sensor analysis reveals the belief-action gap at scale. This isn't about catching people in lies—it's about understanding where organizational systems, incentives, or habits prevent good intentions from becoming reality.
Result: Target interventions where they matter. Fix broken workflows before investing in AI. Train where gaps exist, not everywhere. Measure progress through behavior change, not just sentiment improvement.
Additional Use Cases (With Design Partners)
Project Collaboration Sensor
Analyze project management tool usage vs. stated project health to detect early warning signals of delivery risk.
Explore with design partners
Knowledge Sharing Sensor
Compare documentation usage patterns with training completion to identify knowledge gaps and information silos.
Explore with design partners
Leadership Signal Sensor
Measure executive communication patterns vs. engagement scores to detect leadership-workforce alignment gaps.
Explore with design partners