Beyond the Metrics: What ESG Reporting Doesn’t Always Show

Working on this project has challenged me to think beyond the technicalities of ESG metrics...

By
Mugi
March 31, 2025

Working on this project has challenged me to think beyond the technicalities of ESG metrics and focus on the bigger picture: how data, reporting, and transparency interact in the real world. Our team focused on the fashion and apparel industry, where the environmental and social impacts are significant. We selected four impact areas—Water, Energy, Emissions, and Waste—and used GRI topic standards to guide our data collection and analysis.

At this stage, we’ve gathered nearly 200 valid data points from five companies with consistent reporting across a five-year period. Just getting to this point was eye-opening. Out of more than 100 companies initially screened, fewer than 10 met the criteria. This already showed how rare it still is to find consistent, quantitative sustainability disclosures, even among companies that claim to care about ESG. It made me realize that the absence of data is, in itself, a signal. Whether due to internal capacity issues, shifting priorities, or strategic reasons, gaps in disclosure can be as telling as what’s reported.

One theme that keeps coming up is greenwashing. There’s always a lingering question: are companies genuinely improving, or are they just good at writing reports? And honestly, it’s okay to keep questioning that. Skepticism is healthy in this space. One way companies can build trust is by having their sustainability reports externally verified. It doesn’t guarantee perfection, but it adds a layer of credibility that helps differentiate real effort from superficial PR.

At the same time, this project has left me with some bigger questions I haven’t fully answered yet. What really defines good sustainability reporting? Is it the company that discloses everything in great detail, even if the data shows no improvement, or the one that shows meaningful progress, even if it reports less comprehensively? There’s a tension between completeness and clarity, and it’s not always obvious which one matters more. I’ve also noticed that certain components, like carbon offsets or avoided emissions, aren’t always captured in the GRI standards. These efforts can significantly shape a company’s sustainability strategy, but they don’t always appear in the datasets we’re analyzing. It makes me wonder how to account for the full picture when some pieces might fall outside the framework.

I also had a valuable learning moment during our interim presentation. I presented a graph that I thought would be helpful based on how the conversation was going, but I hadn’t discussed it with my teammates beforehand. It created some confusion for the client, and I realized afterward that even good ideas can fall flat if they’re not aligned with the team. That experience reminded me how important it is to be one voice when speaking to a client, especially in a setting like this where clarity and cohesion are key.

More broadly, I’ve realized that team dynamics are always evolving. Everyone brings different working styles and communication habits to the table. The key is to stay communicative—otherwise, people can easily start assuming the worst. Silence gets misinterpreted, and small misunderstandings can grow bigger than they need to be. Being open, even when things are uncertain, helps keep the group aligned and focused on the shared goal.

This project has pushed me to think more critically about what sustainability performance actually looks like, and how to analyze it when the data is messy or inconsistent. It’s not just about comparing year-over-year numbers; it’s about understanding the company’s context, goals, and trade-offs. I’ve come to appreciate that sustainability data is rarely clean or complete. It takes judgment, patience, and humility to work through the gaps and still come away with insights.

As we move into the next phase of the project, I’m excited to dig deeper into the patterns we’ve found and explore whether reporting practices align with real-world outcomes. It’s one thing to check the boxes, and another to show progress that’s meaningful. Hopefully, our work will contribute to that conversation.