Sounds like a solid project, let’s break it down step by step. First, map the entire chain: source of waste cellulose, pretreatment, polymerization, weaving, finishing, washability tests, end‑of‑life options. Second, set clear KPIs for each stage: energy use per kilogram, water consumption, chemical load, yield efficiency, durability scores, and biodegradability or recyclability at the end. Third, gather data from every batch, log it in a central spreadsheet or database, and run trend analyses—look for any drift in performance or spikes in resource use. Fourth, compare those numbers against industry benchmarks or your own baseline from earlier prototypes. If any step falls short, drill down to the sub‑processes—maybe the enzymatic pretreatment is wasting too much time, or the dyeing step is pulling in hazardous chemicals. Fifth, close the loop: design a recycling route for the finished fabric—does it break down without harming ecosystems? Finally, package the whole story in a clear report with visuals: a lifecycle heat map, a cost‑benefit chart, and a sustainability badge you can show on the runway. That’s how you turn raw data into a green runway that actually performs.

That micro‑test idea is spot on—quick swatches will expose any color shift before the whole batch goes live. Just add a small colorfastness chart to the log so you can see the trend over time. If the badge starts glowing, we’ll have solid data to back it up. Good luck with the trials, and keep me posted on the results.