A web application for exploring urban interventions through structured scenario analysis and stakeholder impact assessment.
What-if helps urban planners, policymakers, and community members explore the potential impacts of urban interventions through a simplified, narrative-focused approach. Rather than complex simulations, it generates structured stress-test narratives that consider stakeholder perspectives, system effects, and implementation challenges.
- Required fields: City/place, scope, main challenges
- Optional fields: Population context, political context, budget constraints, etc.
- Progressive disclosure: Users can add more details without blocking scenario generation
- Combine multiple interventions to create synergistic effects
- Identify gaps and opportunities across different categories
- Analyze how different intervention types work together
- Focus on stakeholders, risks, and next experiments rather than predictions
- Generate structured analysis with clear confidence levels
- Provide actionable insights for decision-making
Start with outcomes-focused questions like:
- "What if we could enhance the collective intelligence of Helsinki?"
- "What if we could cool Madrid by 8.5 degrees celsius?"
- "What if we could eliminate traffic fatalities in Singapore?"
Select from existing cities or create a custom city profile with:
- Required: Name, scale, main challenges
- Optional: Population context, vulnerable groups, regulatory context, etc.
Select multiple interventions to create synergistic effects:
- Required: Title, summary, category, scope of application
- Optional: Detailed description, parameters, synergies, risks, etc.
- View detailed information in pop-up modals
- Build portfolios across different intervention categories
Get a structured analysis including:
- Narrative Summary: 5-8 sentence story of what might happen
- Stakeholder Impacts: Benefits, concerns, and engagement needs for each group
- System Effects: Cross-domain impacts with polarity and confidence levels
- Policy Interactions: How interventions interact with existing policies
- Risks & Unknowns: Potential challenges and uncertainties
- Signals to Watch: Observable indicators of progress
- Next Experiments: Concrete, low-effort tests to reduce uncertainty
This is an experimental tool for urban innovation. Contributions are welcome, particularly around:
- Additional intervention categories and examples
- Improved AI prompts for scenario generation
- Enhanced stakeholder analysis frameworks
MIT License - see LICENSE file for details. Made by Eunsoo Lee with help from Cursor. This is currently a hobby-project.