We co-design evaluations that reflect context and purpose
Every project begins with collaboration. We work alongside teams and communities to shape evaluation scope, questions, and tools that reflect the program's intent.
We support this through:
- Early-stage co-design workshops
- Program logic models and theories of change
- Collaborative evaluation planning
- Mapping of stakeholder priorities and system influences
We evaluate programs using the right methods
We use mixed methods and a systems-aware lens to understand what’s working, for whom, and why.
This includes:
- Process, outcome, and impact evaluation
- Quantitative and qualitative data
- Thematic and systems-level synthesis
- Realist-informed analysis
- Causal loop diagrams
We make sense of existing evidence
Where useful, we incorporate reviews and synthesis to understand what’s already known.
This includes:
- Literature reviews and desktop scans
- Evidence summaries
- Identification of patterns, assumptions, and evidence gaps
We build internal evaluation capacity
We work with teams to strengthen their confidence and capability in data use, learning, and evaluation thinking.
We support this through:
- Co-design of surveys and interview tools
- Practical workshops
- Mentoring
We support translation into action
We help teams reflect, plan, and respond. We support the uptake of evaluation findings into strategic and policy-level decisions.
This includes:
- Post-evaluation sense-making
- “What this means for...” planning sessions
- Evidence-to-action strategy support