Define organizational, temporal, and life cycle boundaries before collecting a single data point. Specify whether you count only avoided manufacturing or also include delivery, cleaning, charging, and storage. Choose baselines that make sense for your area, like typical purchase rates locally or nationally. Explain geographic relevance for the UK context and market availability of items. Clear boundaries and transparent baselines prevent confusion, support replicability, and let readers compare results fairly across hubs, years, and different categories of shared items.
A borrowed item reduces impact only if it genuinely replaces a new purchase or another higher-impact option. Use surveys, interviews, and literature to estimate displacement rates honestly, distinguishing between convenience borrowing and genuine substitution. Incorporate evidence from WRAP studies, UK consumer insights, and previous evaluations of sharing initiatives. Record uncertainty bands, and be explicit about assumptions for occasional-use items like drills. Conservative estimates build credibility, while sensitivity testing shows where improved data collection could reveal even stronger environmental savings.