Closer
to the coast.
Further
ahead.
A clearer picture of tomorrow’s water—built around the places you care about today.
and everyone who lives by the water.
High water,
low uncertainty.
Illustrative signals only. Get a neighborhood-level view and a plan you can actually use.
Information is only useful when it helps you decide.
Tideform translates complex coastal signals into simple, location-specific decisions. No alarming colors without an explanation. No automation that acts without your approval.
Select a neighborhood and choose “Build a plan” to see a sample preparation checklist.
Tideform / Climate intelligence
A neighborhood-level flood readiness platform that turns uncertain forecasts into practical next steps.
The problem
Coastal residents and property managers receive flood alerts, but those alerts rarely translate into a location-specific preparation plan. The challenge is communicating uncertainty without false precision or fear.
Product strategy
A map-first dashboard with clear risk bands, plain-language uncertainty, neighborhood context and a single primary action. A timeline makes it obvious what matters now versus later.
Design decisions
Atmospheric, calm, geographic / pale sage and sea-glass. Pair every risk state with a next-step action, a confidence label and a visible data timestamp.
UX research approach
Synthetic research: 8 fictional discovery-interview profiles, 10 modeled task walkthroughs. This is a fictional scenario: no real interviews or measured outcomes are claimed.
Accessibility & responsive design
Keyboard-operable controls, visible focus, readable content and responsive reflow support this concept. Reduced-motion preferences remove animated scrolling. Physical-device and assistive-technology validation remain future work.
AI-assisted workflow
Map the journey from warning to preparation; separate forecast signals from user-controlled tasks; prototype the elevated-risk, no-data and resolved states. AI-assisted implementation is used for prototyping and iteration; product recommendations here are deterministic local simulations.
Proposed technical architecture
Next.js, TypeScript, MapLibre GL, PostGIS, Supabase, server-side forecast adapters and an auditable recommendation service. Seeded sample neighborhoods; live hazard integrations are a proposed extension, not present in the demo. This architecture is a proposal, not a deployed backend.
Limitations & lessons
Missing forecast data is labeled unknown, never safe. No automatic public warnings or emergency actions; all recommendations require user review. The next step is real user research, production data validation and accessibility testing before any launch.
Information architecture & user flow
- User selects neighborhood and scenario
- Rules engine interprets illustrative forecast indicators
- Agent proposes a prioritized preparation checklist
- User reviews, edits and approves the plan
Core views: Neighborhood overview + confidence → Forecast scenario comparison → Preparedness plan and share sheet