Method and research
At Open Impact, we build Impact Intelligence systems grounded in applied research, data quality, methodological frameworks, and proprietary digital tools.
At Open Impact, we build Impact Intelligence systems grounded in applied research, data quality, methodological frameworks, and proprietary digital tools.
Our approach is based on a simple belief: impact cannot simply be described. It must be measurable, readable, verifiable, and useful for decision-making.
That is why we combine scientific method, data intelligence, software, and strategic advisory to help public and private organizations turn ESG and impact data into governance, learning, and measurable value.
Impact can only be governed if it is measurable, readable, and verifiable.
Our Approach
For Open Impact, impact measurement is not a formal exercise. It is the meeting point between knowledge, responsibility, and decision-making.
Each process begins with a methodological design tailored to the specific case: objectives, stakeholders, theory of change, outcomes, indicators, sources, data collection tools, and reporting methods.
Method makes impact more robust. Data makes it readable. Platforms make it manageable over time.
How we work
We Define the Framework
We start from the organization’s objectives, its operating context, and the decisions the system is expected to support.
We Organize the Data
We structure indicators, data sources, collection workflows, roles, and responsibilities to build an information base that is robust, consistent, and scalable.
We Configure Digital Tools
We adapt platforms, dashboards, and operational solutions to the organization’s real processes, users, and governance model.
We Generate Insights for Decision-Making
We translate complex data into analyses, visualizations, and scenarios that help guide management, teams, and stakeholders.
Impact Integrity: Quality, Transparency, and Traceability
An Impact Intelligence system is only useful if it is reliable. That is why we focus on data quality, consistency between indicators and outcomes, source traceability, methodological transparency, and process auditability.
Technology, including AI, does not replace methodology: it enhances it. We use it to support faster, smarter, and better-informed systems, while always keeping rigour and human judgment at the centre.
Methods, Frameworks, and Standards
Our work integrates recognized approaches and frameworks to connect impacts, outcomes, indicators, and the value created.
- Theory of Change
- SROI
- Social Value
- SDGs
- BES
- ESG / ESRS
- Impact Value Chain
- KPI framework
- Proxies and Outcome Monetization
Method, Data, and Platforms Working Together
The value does not lie in a single software tool or an isolated dashboard. It lies in the ability to bring together frameworks, roles, processes, databases, digital environments, and decision-making logic into one coherent system.
That is why our approach connects applied research, proprietary software, databases, and strategic advisory.