Plan A: Turning Emissions Data Into Action

Breaking the "One-Size-Fits-All" Rigidity

The platform forced every company, regardless of industry or size, into the same rigid workflows, with no room to adapt to how each business actually tracks and reduces its carbon footprint.

The Constraint
Dashboards lacked the flexibility for the complexity of real-world sustainability reporting, leading to manual workarounds that put pressure on retention → That meant burning CS and customer time every quarter producing customised spreadsheets and exports.

The Goal
Transform the product from a static functional tool into a desirable experience where carbon data was easy to explore, customise, and explain.

Plan A dashboard before – company emissions view with summary, chart, and per-entity breakdown — Before.

Plan A dashboard after – company dashboard with KPIs and emissions by category — After.

Architecting Self-Serve Customisation

As the designer owning analytics and reporting, I drove the end-to-end revamp of the dashboard and reporting experience—from information architecture through the visual language users rely on to explore emissions data on their own. Alongside that work, I partnered with other design fellows to evolve the design system, so charting, states, and patterns stayed consistent as the product scaled.

Scorecard component – data display widget with title and value states

Scorecard component documentation – anatomy, states, and variants

Plan A chart tooltip system: emissions per scope (basic), benchmark view with YoY pills, and emissions over time by category—three variants in one composite. — Tooltips make complex carbon metrics scannable: one pattern scales from basic scope views to benchmark and category-level detail in self-serve reporting.

Customisation Engine: Built a modular system allowing users to build and refine custom charts by choosing specific emission categories, axes, and legends.

Create chart – configure and preview stacked bar chart by emission category and geography — Users build custom charts by choosing emission categories, axes, and chart types—so the right view of their data is always within reach.

Edit chart – line chart with emission per category, legend, and display options — Users refine charts by adjusting type, legend, and display options—so every view stays accurate and on-brand.

Methodological Trust: Strengthened trust in the underlying data by visually bridging the gap between high-level numbers and the complex methodology behind them.

Plan A dashboard – purchased electricity view with emissions over time chart and conversion factors panel

Plan A dashboard – purchased electricity with KPIs, emissions chart, and general information panel

Performance Engineering: Designed purposeful motion—including skeleton states and deliberate transitions—to reduce perceived wait times and turn moments of friction into a smoother experience.

Purposeful motion after filter changes signals that figures are updating.

Skeletons removed the "blank screen" friction and gave an immediate hint of what was coming.

When queries run long, we surfaced the active step so the wait reads as progress.

A Strategic Shift to Self-Serve

The 2023 launch delivered measurable impact across the business and user experience.

Business Impact: Reduced churn, and customer success reported fewer repeat escalations on exports and ad-hoc reporting after launch.
Product Impact: Successfully enabled a strategic company-wide shift towards self-serve analytics, reducing the internal operational load.
User Impact: Improved overall CSAT and drove a measurable increase in NPS scores through enhanced data visualisation and customisation.