Stability & data handling in experiments

Experiments on Clovord are designed with stability, reliability, and privacy in mind. However, testing new behavior can sometimes introduce temporary inconsistencies.

Stability expectations

During an Experiment, you may experience:

  • Minor UI inconsistencies
  • Changes between updates
  • Temporary feature removal
[Image: Warning / stability notice example]

How Clovord handles stability

  • Real-time monitoring
  • Fast rollback mechanisms
  • Gradual rollout controls

Data handling during Experiments

To evaluate Experiments, Clovord may process aggregated technical data such as:

  • Feature usage counts
  • Performance metrics
  • Error and crash indicators
[Image: Abstract analytics / metrics visualization]

Privacy commitment

Experiment data is used solely to improve Clovord. It is not sold and not used for personal profiling.