Impact Framework & Measurement

Measuring impact is at the heart of the Space Impact Forum’s approach. Our Impact Framework ensures that interventions across Food, Energy, Environment, and Urban Labs are evidence-based, measurable, and scalable. By combining theory, data, and practical evaluation, we track outcomes and inform future decision-making.

Why Impact Measurement Matters

Impact measurement allows us to validate the effectiveness of interventions, ensure accountability, and provide actionable insights for scaling solutions. It connects the objectives of each Lab to tangible outcomes, ensuring alignment with sustainability goals and societal needs.

Core Impact Framework

Our framework combines internationally recognised methodologies and sector-specific metrics to guide all Labs from problem identification to scaled interventions.

Theory of Change (ToC)

Articulates how and why desired outcomes will be achieved. Maps inputs, activities, outputs, and long-term impact for each intervention.

Logical Framework (LogFrame)

Provides a structured approach for planning, monitoring, and evaluating interventions. Includes indicators, baselines, targets, and assumptions.

Key Performance Indicators (KPIs)

Defines measurable metrics for each Lab, including environmental, social, economic, and technological outcomes.

Impact Pathways

Tracks causal relationships between actions and results, allowing Labs to visualise short-, medium-, and long-term impact trajectories.

Monitoring & Evaluation (M&E)

Establishes processes to collect, analyse, and report data systematically, ensuring continuous learning and improvement.

Data & Analytics Integration

Leverages satellite, geospatial, and operational data to quantify impact, identify trends, and inform decision-making in real time.

Methodology

All Labs follow a structured methodology to ensure robust impact measurement and continuous improvement.

1. Scoping & Baseline
  • Define problem statements and key objectives
  • Map baseline data and establish initial metrics
  • Identify stakeholders and contextual factors
2. Co-Design & Indicator Selection
  • Develop intervention pathways with stakeholders
  • Select KPIs and success criteria aligned with ToC and LogFrame
  • Integrate sector-specific and cross-sector indicators
3. Data Collection & Monitoring
  • Deploy tools and sensors to gather operational and geospatial data
  • Monitor progress against defined KPIs
  • Ensure data quality, validation, and standardisation
4. Analysis & Evaluation
  • Analyse trends, outcomes, and causal pathways
  • Assess efficacy, efficiency, and equity of interventions
  • Update ToC and LogFrame as needed
5. Reporting & Knowledge Sharing
  • Produce dashboards, case studies, and policy briefs
  • Engage stakeholders for feedback and adoption
  • Promote transparency and evidence-based learning
6. Continuous Improvement & Scaling
  • Iterate interventions based on monitoring insights
  • Identify opportunities for scale, replication, and cross-sector adoption
  • Maintain long-term impact tracking and accountability

Engage with Impact Measurement

Collaborate as a data provider, technical partner, researcher, or observer to strengthen Labs’ evidence-based approaches and scale solutions globally.

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