ESG · Enterprise Technology · Information Enablement
Energy Vision — Making Sustainability Data Understandable
Context
Sustainability decisions require stakeholders to interpret interconnected information across energy consumption, emissions, renewable energy, efficiency and long-term scenarios.
Scope
Scenario-based portfolio case using a public global energy dataset.

Problem
The challenge was not simply providing access to sustainability data.
It was helping stakeholders understand relationships, compare alternatives and explore what different scenarios could mean.

My Role
Product analytics & UX-led concept design combining:
Information architecture · KPI definition · Scenario design · Stakeholder needs · Data communication
Key Decisions
Translated multi-dimensional sustainability data into consistent indicators
Structured the experience around comparison and scenario analysis rather than static reporting
Separated high-level information from deeper country and scenario analysis
Outcome
Created an experience translating complex sustainability information into comparable, explorable and easier-to-understand decision views.
The concept progressively moves users from high-level understanding toward deeper comparison and scenario exploration.
Decision Impact Summary
Key Insight
Complex enterprise information becomes more useful when users can move progressively from overview to comparison to exploration.
Decision Supported
Support stakeholders in comparing energy, emissions and efficiency patterns and exploring alternative scenarios.
Business Impact
Enable clearer strategic conversations around energy mix, efficiency and decarbonisation trade-offs.
UX Section
Information Experience & Decision Architecture
Energy Vision progressively reveals information according to the level of understanding and analysis required.

Global Overview — Understand
Energy consumption
Emissions
Renewable share
Efficiency

Countries — Compare
Energy mix
National indicators
Changes over time

Scenarios — Explore
Policy variables
Investment assumptions
Projected effects
Why it matters
Demonstrates my ability to make a complex technical domain understandable through information architecture, progressive disclosure and clear product communication.
Applicable contexts
Energy · ESG · Enterprise SaaS · Complex Technology
Extended case details available upon request.