Problem Framing

Climate data is fragmented, overly technical, and emotionally distant — Planēo bridges that gap.

Case Study Summary

Built With Purpose

Planēo was born through AI-assisted research, creative strategy, and human-centered design.

From naming and branding to UX/UI design, every part of the process was guided by one question: “How can we make climate data feel personal, not paralyzing?”

User Personas

  • Lucía Moreno

    Climate-Conscious Citizen

    Age: 34
    Location: Barcelona, Spain
    Occupation: Freelance Graphic Designer

    Values: Sustainability, ethical living, slow travel
    Tech Comfort Level: High

    Goals:

    Understand the local and global impact of her lifestyle on the climate.

    Track real-time data (like CO₂ levels, temperature rise, and sea level) in a digestible, visual format.

    Share visual content to raise awareness within her community.

    Make daily decisions—like what to buy or how to travel—based on real planetary data.

    How Planēo Supports Her:

    Dashboard: Presents live, easy-to-understand climate metrics connected to her region.

    Visual Insights: Translates complex data into emotional, compelling visuals that she can share on social media.

    Action Prompts: Suggests small, personal actions linked to current environmental shifts (e.g., water-saving tips during drought alerts).

    Tracking Impact: Lets her see how collective action adds up over time.

  • Dr. Jonas Reiter

    — Urban Planner & Policy Advisor

    Age: 45
    Location: Munich, Germany
    Occupation: Sustainability Policy Advisor for the City of Munich

    Values: Climate resilience, evidence-based planning, data transparency
    Tech Comfort Level: Medium

    Goals:

    Access reliable, localized environmental data to inform policy decisions.

    Communicate the urgency of climate action to city councils and citizens.

    Identify which regions or sectors are most vulnerable to climate change.

    Evaluate the impact of past and present climate initiatives.

    How Planēo Supports Him:

    Data Layers: Provides localized breakdowns of key indicators (e.g., heat island intensity, emissions hotspots).

    Cause → Effect Maps: Shows links between human activity and climate shifts to support policy narratives.

    Report Exporting: Allows him to download tailored reports and visualizations for presentations.

    Community Trends: Tracks how urban residents are engaging with climate goals over time.

  • Amina Yusuf

    — Environmental Science Student & Campus Organizer

    Age: 21
    Location: Nairobi, Kenya
    Occupation: Undergraduate Student, Climate Club Leader

    Values: Youth empowerment, environmental justice, education
    Tech Comfort Level: High

    Goals:

    Make climate science more accessible to peers through storytelling and visuals.

    Use Planēo in workshops and presentations to educate her community.

    Organize actions on campus based on the most pressing climate issues.

    Connect local changes to global climate patterns.

    How Planēo Supports Her:

    Educational Mode: Offers guided explanations of data for classroom and peer use.

    Storytelling Tools: Lets her create visual stories using real-time data for social and educational campaigns.

    Global View: Helps connect local environmental challenges in Kenya to larger global trends.

    Gamified Impact Tracker: Motivates her campus club by showing collective action results in-app.

Branding

A Climate Data App for a Balanced Future

The branding — from the name “Planēo” (Latin for planet + equal) to poetic headlines like “The Balance is Off” — positions the app as both informative and emotive.

Key Features

Live Climate Dashboard

All the major indicators of climate change — in one place. Updated daily, designed for clarity.

Global + Local Data

See climate impact globally, by country, or zoom into your city. Understand “our” footprint — not just yours.

Cause & Effect Pairing

Each metric shows not just what’s happening — but why. Clear, honest, human.

See Your Region Compare cities

Explore Metrics by City

See climate impact globally, by country, or zoom into your city. Understand “our” footprint — not just yours.

    • Score Range: 1 to 5

    • Score Meaning:

      • 5 = Excellent / Leading in sustainability

      • 4 = Good / On track

      • 3 = Moderate / Needs improvement

      • 2 = Poor / Concerning trends

      • 1 = Critical / Urgent intervention needed

  • 🧠 Climate Misinformation Index (CMI)

    • Purpose: Quantify the prevalence and impact of climate misinformation worldwide

    • Score (0–100): Higher = More misinformation

    • Method:

      • Weighted average of national-level CMIs

      • Weights include population, emissions, media reach

    • Sub-metrics:

      • Media integrity score

      • Public trust in climate science

      • Presence of denialist policy influence

      • Social media misinformation rates

      • Education/climate literacy level

    🌡️ CO₂ Global Emissions Tracker

    • Total emissions (GtCO₂/year)

    • CO₂ per capita (tonnes)

    • % contribution to global emissions

    • Safe planetary boundary = 350 ppm atmospheric CO₂

    📉 Climate Predictability Index (CPI)

    • Measures decline in stable weather patterns

    • Derived from IPCC models, WMO volatility indexes

    • Expressed as % decline vs pre-industrial predictability

    🌱 Global Resilience Score

    • Forest & green space coverage (ha/capita)

    • Renewable energy share (%)

    • Waste management efficiency

    • Adaptation policies in place

    • % of land protected

    • Urban planning for climate adaptation

  • 📊 Table Structure

    Each city has a card with:

    • CO₂ per capita (tCO₂/person)

    • Total city emissions (MtCO₂)

    • % Green space

    • Renewable energy share

    • Waste per capita (kg/person/year)

    • Elevation (m) — flood risk

    • Climate Vulnerability Index (0–1)

    • Population

    • City Area (km²)

    • Emissions per km²

    • Emissions as % of national total

    • Green public transport coverage

    • Planēo Score (Average of all above)

    🧠 Human Systems Scoring (New Layer)

    Includes:

    1. Industrial Paradigm

      • GDP growth reliance

      • Linear economy extent

      • Overproduction index

    2. Fossil Energy Dependence

      • % fossil fuels in energy mix

      • Grid efficiency

    3. Consumerism Culture

      • Obsolescence index

      • Retail square meters per capita

    4. Global Inequality Impact

      • Income/emissions disparity ratio

      • Environmental justice index

    5. Governance Effectiveness

      • Climate policies in action

      • Citizen participation scores

    6. Technological Ethics

      • AI/data center footprint

      • Tech e-waste levels

    7. Nature Connection & Education

      • Access to nature

      • Climate education in schools

    8. Urban Expansion & Land Use

      • Sprawl index

      • Ecosystem displacement score

    9. Crisis Preparedness

      • Emergency systems readiness

      • Resilience investment per capita

    ➕ Additional Local Indicators

    • Local CMI score (if available)

    • Scorecards are displayed using swipeable UI cards (à la Apple Weather)

    • Radial meter to show the overall Planēo Score

  • (How to Assign Scores)

    1. Collect Data: Use verified sources (WRI, IPCC, local government, academic papers)

    2. Normalize Values: Scale each metric to a 0–1 or 1–5 scale

    3. Weight by Relevance: Assign weights if some metrics are more critical (e.g., emissions vs elevation)

    4. Calculate Composite Scores: Combine weighted scores for categories like Planēo Score or CMI

    5. Review Qualitatively: Adjust for outliers, missing data, or recent events (e.g., major floods, policy changes)

    6. Update Regularly: Refresh with most recent datasets annually or bi-annually

Case Study Summary

Built With Purpose

Planēo was born through AI-assisted research, creative strategy, and human-centered design.

From naming and branding to UX/UI design, every part of the process was guided by one question:

“How can we make climate data feel personal, not paralyzing?”

With help from AI tools, I created:

  • A naming system rooted in Latin (“planet” + “equal” = Planēo)

  • A visual identity inspired by natural systems and minimal UI

  • Marketing copy that balances clarity with emotional weight

  • A mobile-first interface designed using Apple’s UI system for native feel