Program Evaluation

• Whole-System Intelligence: We evaluate programs as dynamic, living systems, integrating insights from systems science and neurology to understand how parts interact, adapt, and evolve in real-world contexts. 
• Viable Systems Thinking: Grounded in the Viable System Model, we assess organizational effectiveness based on the capacity to self-regulate, adapt, and sustain purpose-driven operations under changing conditions.
• Neurologically-Informed Feedback Loops: Our evaluations recognize the parallels between healthy neural networks and responsive organizations, ensuring feedback mechanisms are both timely and actionable.
• Holistic Insight Meets Practical Design: We synthesize qualitative and quantitative inputs across stakeholders, aligning mission, structure, and behavior into clear, measurable outcomes that foster meaningful impact.
• Sustainability Through Learning: Evaluation isn't just a verdict—it's an invitation to evolve. We guide programs toward continuous learning and adaptive capacity-building, cultivating resilience from within.

• Participatory Methods: Engages stakeholders—including beneficiaries—as co-evaluators. 
• Adaptive Design: Evolving evaluation questions, tools, and frameworks in real time based on findings and context shifts. 
• Systems Thinking Integration: Often uses tools like the Viable System Model (VSM) or causal loop diagrams to map complexity and interdependencies. 
• Multiple Ways of Knowing: Validates qualitative, quantitative, and indigenous knowledge as equally important. 

• Developmental Evaluation Influence: Often embedded during program implementation to support innovation and learning. 
• Nonlinear Approach: Recognizes that change is emergent and not always predictable—embraces complexity. 
• Feedback Loops: Builds continuous cycles of feedback, reflection, and recalibration. 

• Acts as a facilitator of change, not a distant observer. 
• Supports organizational learning, capacity building, and policy shifts. 
• Works closely with leadership and frontline staff to interpret data in context and design strategic pivots. 

 May not result in a single static report, but rather in: 

• Iterative briefs 
• Real-time dashboards 
• Interactive workshops or storytelling sessions 
• Focuses on useful, actionable insights to influence both practice and systems-level policy. 

• Engages stakeholders as co-creators of the evaluation process 
• Uses adaptive, real-time methods to respond to emerging needs and data 
• Applies systems thinking to understand complexity and interdependence 
• Incorporates multiple ways of knowing (quantitative, qualitative, experiential, cultural) 
• Emphasizes learning and reflection as core evaluation outcomes 
• Supports organizational and systems change, not just measurement 
• Values nonlinear processes and embraces emergent outcomes 
• Builds in continuous feedback loops for decision-making and growth 
• Positions the evaluator as a partner and facilitator in transformational change