
Scattered Data – No single source of truth for emissions data (a.k.a. the "where did we save that file again?" problem)
Complex Compliance Needs – Different reporting requirements for GHG and OGMP (because why have one standard when you can have five?)
Limited Visibility – Difficulty understanding emissions at different levels (facility, site, asset—just pick one already!)

🔹 Interviewed sustainability officers & environmental engineers (who confirmed our suspicions: reporting is a mess)
🔹 Analyzed current pain points in emissions tracking & reporting (spoiler: there were many)
🔹 Mapped out user journeys to identify friction points (turns out, everything was a friction point)

📌 Users Need a Multi-Level View
— High-level carbon footprint dashboards
— Drill-down capability to facility, site, and equipment-level data
📌 Compliance is Complex
— OGMP focuses on methane, while GHG covers all emissions
— Need for auto-populated forms & validation checks (because nobody wants to re-enter the same data 10 times)
📌 Missing Data Creates Gaps
— Some facilities lack direct emissions data
— AI-powered extrapolation can solve this (yes, we made AI do the hard work)
🔹 Problem
Sustainability managers needed a centralized dashboard to track Scope 1, 2, and 3 emissions across their organization.
🔹 Solution
We designed a real-time emissions dashboard with:
✅ Interactive charts to compare yearly emissions
✅ Filters by scope – View direct, indirect, and value-chain emissions
✅ Drill-down functionality – From total emissions → facilities → equipment
🔹 Impact
✔ 40% faster analysis time
✔ Increased user engagement with intuitive data visualization
🔹 Problem
Methane emissions need to be monitored at Source level as well as site level, following OGMP standards. Users also needed interactive maps to visualize methane leaks.
🔹 Solution
We designed a multi-level navigation for methane tracking:
✅ Map-based UI – Interactive facility-level insights
✅ Drill-down from assets → sites → equipment
✅ L3 vs. L4 comparison to measure detection vs. estimation
🔹 Impact
✔ 20% faster leak detection
✔ Improved compliance with OGMP reporting guidelines
🔹 Problem
Companies spend weeks preparing compliance reports manually. (Weeks! No exaggeration.)
🔹 Solution
We built a reporting module with:
✅ Auto-filled GHG & OGMP reports (because manual entry is so last century)
✅ Error validation & missing data alerts
✅ Multi-format export (PDF, CSV, API – you name it)
🔹 Impact
✔ Reporting time reduced from weeks to hours
✔ 98% data accuracy (finally, numbers we can trust)
🔹 Problem
Some facilities lack direct emissions data, leading to gaps in reporting.
🔹 Solution
We implemented an AI-powered extrapolation tool:
✅ Suggests estimated emissions based on similar facilities
✅ Users can review & approve extrapolated data
🔹 Impact
✔ 100% data coverage
✔ Improved regulatory compliance

✅ 30% reduction in reporting time
✅ 40% faster decision-making with real-time dashboards
✅ Higher engagement with an intuitive UX
🎯 Key UX Takeaways
✔ Data-heavy doesn’t mean complex – Good UX simplifies workflows
✔ Automation reduces user effort – The less manual work, the better
✔ Interactive visuals drive engagement – Users prefer insights over raw data