Data provides the foundation for monitoring training needs, tracking completions, and evaluating impact. It ensures training is not random but evidence-based and transparent.
Key elements
- Volunteer management systems capturing training records.
- Training needs assessments feeding into data dashboards.
- Disaggregated data on participation (age, gender, geography).
- Evaluation data from post-training feedback.
Without good data, NSs cannot plan effectively or demonstrate accountability. Data ensures that training reaches those who need it most and that it improves over time.
Examples
- ARC Volunteer Connection: Tracks training completions nationwide.
- VDMS (Kenya RC): Manages volunteer training records and diversity data.