Resource ID: INDIGO-ARES-0053
Link: https://www.sorensonimpact.com/impact-measurement
We integrate qualitative processes with data science to measure and demonstrate social sector impact for governments, nonprofits, and foundations. We don’t stop there—we ensure you, as our partner, know how to talk about your impact in a way that elevates your message to your audience.
We believe that profound social impact is contingent on leveraging four cohesive strategies: data science, community engagement, innovative finance, and impact storytelling.
The Sorenson Impact Methodology uniquely positions us to empower social entrepreneurs and organizations to measure, articulate, and expand their impact.
Impact goal: SDG oriented, Social impact
Internal/external: External, Internal
Leader: Sorenson
Method: Framework agnostic
Output format: Ordinal, Agnostic, Qualitative only, Monetary valuation, Quant but no index, Non monetary quant index
Scale: Meso, Macro, Micro, Agnostic
Sourcing: Outsource to vendor
Time frame: Ongoing, Prospective, Retrospective
Type: Consultancy
Used in sectors: Igos, Charity, Development, Governance policy, Social enterprises
Who: Third sector, Public sector
INDIGO data are shared for research and policy analysis purposes. INDIGO data can be used to support a range of insights, for example, to understand the social outcomes that projects aim to improve, the network of organisations across projects, trends, scales, timelines and summary information. The collaborative system by which we collect, process, and share data is designed to advance data-sharing norms, harmonise data definitions and improve data use. These data are NOT shared for auditing, investment, or legal purposes. Please independently verify any data that you might use in decision making. We provide no guarantees or assurances as to the quality of these data. Data may be inaccurate, incomplete, inconsistent, and/or not current for various reasons: INDIGO is a collaborative and iterative initiative that mostly relies on projects all over the world volunteering to share their data. We have a system for processing information and try to attribute data to named sources, but we do not audit, cross-check, or verify all information provided to us. It takes time and resources to share data, which may not have been included in a project’s budget. Many of the projects are ongoing and timely updates may not be available. Different people may have different interpretations of data items and definitions. Even when data are high quality, interpretation or generalisation to different contexts may not be possible and/or requires additional information and/or expertise. Help us improve our data quality: email us at indigo@bsg.ox.ac.uk if you have data on new projects, changes or performance updates on current projects, clarifications or corrections on our data, and/or confidentiality or sensitivity notices. Please also give input via the INDIGO Data Definitions Improvement Tool and INDIGO Feedback Questionnaire.