Research deep dive / UCD Innovation AcademySoiléir Impact Rating: making sustainability impact understandable.
Soiléir was explored in the context of my MSc Design Thinking for Sustainability and a Dublin City Council-related project brief. The central challenge was how to make sustainability performance and impact easier to interpret, compare and discuss without reducing complex environmental and social outcomes to a misleading single number.
Impact ratings can help people make decisions, but they also introduce design risks: what gets measured, which perspectives count, how evidence is weighted and whether a score creates false confidence. The research direction therefore centred on clarity, transparency and the relationship between evidence, interpretation and action.
Conceptual impact-rating framework · Portfolio interpretationDefine the decision context
→Identify relevant impact dimensions
→Examine evidence and uncertainty
→Communicate a meaningful assessment
Illustrative framework to communicate the research problem, not an official Soiléir methodology, approved rating algorithm or delivered client interface.
Context, contribution and learning
Situation and challenge. Sustainability decisions involve trade-offs between environmental, social and practical outcomes. The design problem was how to make those trade-offs legible for different audiences, while recognising that evidence quality and context matter.
My involvement. The work sits within my postgraduate sustainability design practice, drawing on systems thinking, design research, framing and communication of complex information. The public record here does not establish a final approved rating methodology or implementation.
Approach. The relevant design activities include interrogating the decision context, identifying stakeholder information needs, mapping the relationships between impact dimensions and exploring ways to communicate uncertainty rather than conceal it.
Outcome and learning. The key portfolio learning is that impact assessment should help people ask better questions, not merely display a score. A credible future version would need documented stakeholder validation, evidence standards, transparent weighting and testing of comprehension across audiences.