Vizuna vs Trust Equation Software
The Best Trust Equation Software for Teams
Most Trust Equation tools treat the framework as a concept. Vizuna turns it into an applied measurement system — with colleague feedback, recurring scoring, and VizunaAI guidance.
How is Vizuna different from Trust Equation Software? Vizuna measures professional trust through source-protected colleague reflections using the Trust Equation (Credibility, Reliability, Safety, Selflessness), while Trust Equation Software focuses on trust equation tools. Vizuna provides continuous, private measurement rather than periodic reviews.
- Recurring measurement, not a one-time assessment or workshop exercise
- Source-protected colleague reflections provide objective signal, not just self-scoring
- VizunaAI synthesises patterns and suggests specific actions over time
Side-by-side comparison
| Dimension | Trust Equation Software | Vizuna |
|---|---|---|
| Measurement type | Self-assessment or workshop | Source-protected colleague reflections + self-assessment |
| Frequency | One-time or periodic | Recurring |
| Framework | Trust Equation (varies by tool) | Trust Equation (CRSS) — full four dimensions |
| Output | Score or report | Score + trend + AI guidance |
| Privacy | Varies (often attributed) | Aggregate, privacy-gated insights |
Privacy & governance
No names. No ranking. No attribution.
Vizuna is designed to keep organisation-facing reporting aggregate and source-protected, without turning trust into surveillance.
No names. No ranking.
Organisation-facing reporting is designed to reduce attribution risk and avoid linking trends back to one person.
Aggregated, not attributed.
Signals appear only after combining multiple colleague perspectives.
Patterns, not people.
The system is built to prevent monitoring or employee ranking.
Built-in privacy constraint
Built for aggregate, source-protected reporting.
Vizuna is designed so org-facing analytics focus on patterns across multiple reflections rather than exposing who said what.
Signal submitted
Colleague reflection recorded
Aggregated
Combined with multiple others
Pattern only
Individual signals stripped away
Aggregate output
Only aggregate patterns reach the surface
Ready to measure trust more directly than trust equation tools?