Resource ID: INDIGO-ARES-0005
Link: http://www.garycommunity.org/sites/default/files/article_attachments/TIGR%20Layout_0.pdf
We developed the Transformational Impact Grid (TIGR), a visual tool to help us evaluate new opportunities, clarify expectations for investment results and report on outcomes. The TIGR is reshaping and strengthening GCI’s long-term investment strategy, serving as an internal guide to help ensure that the grants, program-related
investments and full, for-profit community investments we make have the power to create meaningful change to benefit low-income children and families.
There is a graph-like grid, with the Y axis representing the effectiveness of an organization, and the X-axis showing the level of transformativeness of a certain type of change.
Impact goal: Well being, Social impact, Local rejuvenation, Development poverty reduction
Internal/external: External, Internal
Leader: Gary Community Investments (GCI)
Method: Observation, Theory of change, Ex ante projections
Output format: Qualitative only
Scale: Meso
Sourcing: Self driven, Proprietary in house
Time frame: Prospective
Type: Case study
Used in sectors: Charity, Development, Social enterprises
Who: Third 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.