Learning and Evaluation at Nidrana
A structured, transparent approach to understanding participation, impact, and long-term potential in non-clinical, nature-based community spaces.
Why Evaluation Matters
Nidrana combines quantitative and qualitative methods to create a balanced understanding of impact.
Our evaluation approach is:
Non-clinical and community-based
Focused on participation and experience
Transparent and ethically grounded
Designed for learning and improvement
Aligned with public funding and research standards
We prioritize clarity over complexity and relevance over abstraction.
A Structured, Evidence-Informed Approach

Key Areas of Measurement
Evaluation focuses on outcomes relevant to everyday life and social participation.

Well-being
Sense of Belonging
Engagement & Participation
These indicators reflect the core aim of Nidrana:
supporting stable, meaningful participation in everyday life.
Measurement Methods
Nidrana uses a combination of simple, validated tools and direct observation.
Evaluation Timeline
Evaluation takes place at multiple points to understand change over time:
This allows us to assess:
Short-Term Effects
Sustained Changes
Long-Term Relevance
Participation and Behavioural Indicators
In addition to surveys and feedback, we track:
Attendance per session
Retention rates
Dropouts and cancellations
Number of completed sessions
Interest in continuation
Demand indicators such as waiting lists
These metrics are essential for understanding whether the model is:
Realistic
Accessible
Scalable
Impact
Acceptability
Mechanism
Demand
Evaluation at Nidrana follows clear ethical principles:
Participation is voluntary
Data is anonymized and handled according to GDPR
No diagnosis or clinical interpretation is made
Participants are informed and give consent
Safeguarding protocols are in place
Nidrana operates within a non-clinical scope, and evaluation reflects this boundary.

What We Produce
Evaluation results are translated into clear, usable outputs:
Pilot evaluation report
Participant insight summaries
Facilitator learning reports
Scalable program framework
Recommendations for future implementation
These outputs support:
Funders
Municipalities
Partner Organizations
Future Expansion
From Learning to Long-Term Impact

Evaluation is not only about measurement. It is about building a model that can be trusted, replicated, and improved.
Through structured learning, Nidrana aims to:
Strengthen prevention-focused approaches
Support social cohesion
Contribute to public-interest innovation
Provide a scalable alternative to fragmented support systems


