Case Study — 08

OneDrop

Diagnose the water crisis one basin at a time.

Category
Water systems intelligence
Audience
NGOs, utilities, funders, and field deployment teams
Overview

Water scarcity is a diagnosis problem before it is a funding problem

OneDrop is an AI geospatial diagnosis terminal for the global water crisis. It maps twelve of the world's most stressed basins and gives each one a diagnosis, a prescribed restorative action, the force that would execute it, and a cost per capita.

The interface opens on a globe carrying live markers over the Colorado River Basin, the Navajo Nation, Flint and the Rust Belt, the Amazon delta and páramos, Brazil's sertão, the Sahel, rural Machakos, the Horn of Africa, the Arabian Peninsula, the Ganges Basin, Jakarta, and the Pacific island atolls. Against it stand two counters: 2.2 billion people in need, and 2.9 million already reached.

Selecting a marker produces something closer to a clinical chart than a country page. A diagnostic analysis states what has actually gone wrong in that specific hydrology — depleted aquifers, lead service lines, saline intrusion, extraction that outruns recharge — and a single prescribed restorative action answers it by name. The prescriptions are deliberately unglamorous and specific: reinforced concrete sand dams in Machakos, atmospheric generation and micro-RO on the Navajo Nation, farmer-managed natural regeneration in the Sahel, green-energy SWRO decoupling on the Arabian Peninsula.

Two panels stop the tool from being a wish list. Hands to Help names the deployment force that would actually execute the action and what kind of support they need, and an estimated blended capital expenditure per capita sits beside the regional population at risk, so every prescription arrives already costed against the people it would serve.

The Problem

Why the water crisis outruns the response

01

Scarcity is never one problem

Lead pipes in the Rust Belt, saline intrusion in the atolls, and aquifer overdraft in the Ganges Basin share a headline and almost nothing else. A single global framing produces solutions that fit none of them.

02

The consequences are misread as thirst

Water failure shows up as starvation, disease outbreak, denied education, and lost human potential. Framed only as drinking water, it attracts the wrong interventions and the wrong budgets.

03

Prescriptions arrive without an executor

A recommended technology with no named deployment force is a paragraph. Someone has to build the sand dam, replace the service line, or run the solar water farm, and most analysis stops before saying who.

04

Fragmented effort moved at a glacial pace

Traditional aid ran at low efficiency with each actor solving its own catchment. Without a shared diagnostic layer, capital repeatedly funded the wrong intervention for the local hydrology.

The Approach

How we built it

01

Make the globe the diagnostic surface

Twelve stressed regions sit as live markers on a rotating Earth, with the global population in need and the running impact figure held permanently in view. Geography frames every read of the data.

02

Diagnose before prescribing

Each region leads with an AI diagnostic analysis of its specific failure mode rather than a scarcity score, because the same shortage produced by extraction, contamination, and salinity needs three different answers.

03

One prescribed action, named precisely

Every diagnosis resolves to a single restorative action with a real engineering name and a category — nature-based, decentralized tech, heavy infrastructure, community infrastructure, tech and microfinance — so the class of commitment is clear on sight.

04

Name the hands that do the work

A Hands to Help panel identifies the deployment force behind each action and the support type it requires, converting a recommendation into an executable assignment.

05

Cost it per capita, not per project

Regional population at risk sits directly beside a blended capital expenditure per capita, which lets a funder compare a sand dam program against a desalination decoupling on the same axis.

06

Contrast the trajectories

A scrubbable timeline from 1990 onward sets traditional low-efficiency aid and fragmented effort against accelerated deployment, tracking lives transformed, a five-million-a-year pace, and roughly $120 per capita against the 2.2 billion goal.

07

Keep depth one click away

A generative deep dive expands any regional chart into full analysis for teams that need hydrology, phasing, and engineering detail past the summary.

What It Does

Capabilities

Interactive diagnosis globe

A rotating 3D Earth with twelve live regional markers and standing counters for global population in need and cumulative impact.

AI diagnostic analysis

Per-region assessment of the actual failure mode — contamination, overdraft, saline intrusion, catchment collapse — rather than a generic scarcity rating.

Prescribed restorative action

A single named intervention per region, from reinforced concrete sand dams to green-energy SWRO decoupling and iron-matrix filtration.

Solution categorisation

Every action is filed as nature-based, decentralized tech, heavy infrastructure, community infrastructure, tech and microfinance, or infrastructure and policy.

Hands to Help deployment force

Names who would execute the prescribed action and the support type they need to do it.

Population and CapEx readouts

Regional population at risk shown beside an estimated blended capital expenditure per capita for the prescribed action.

Deep dive AI analysis

Generative long-form expansion of any regional chart for teams that need hydrology and phasing detail beyond the summary.

Race Against Time timeline

A scrubbable 1990-to-present comparison of traditional aid and fragmented efforts against accelerated deployment toward 2.2 billion people.

Twelve mapped water regions

Colorado River Basin, Navajo Nation, Flint and the Rust Belt, Amazon Delta and Páramos, Northeast Brazil, the Sahel, rural Machakos, the Horn of Africa, the Arabian Peninsula, the Ganges Basin, Jakarta, and the Pacific island atolls.

Design System

The visual language

OneDrop is built as a terminal with an ocean underneath it. A deep navy field carries the illuminated globe, a single cyan reads as water against it, and the diagnostic panels stay translucent so the region under discussion is never fully hidden behind its own chart.

01

Colors

  • Signal Cyan

    #22D3EE

    Sole accent — markers, counters, primary actions, active states

  • Deep Ocean

    #03192B

    Atmospheric field behind the globe

  • Terminal Void

    #020617

    Base canvas and section grounds

  • Panel Navy

    #0B1120

    Translucent diagnostic panels and readout surfaces

  • Data Slate

    #94A3B8

    Labels, categories, and secondary readouts

  • Rule Slate

    #334155

    Panel borders and dividers

  • Signal White

    #FFFFFF

    Headline figures and primary body copy

  • Paper Slate

    #E2E8F0

    Editorial passages on the long-form sections

02

Typography

Interface

Segoe UI / system grotesque

A neutral system stack that keeps the terminal reading as instrumentation rather than as branded marketing.

Editorial

Times New Roman

Sets the ripple epigraph and the long-form argument about water, giving the essay a printed register the panels deliberately avoid.

Data

Monospace

Population at risk, blended CapEx per capita, pace of impact, and timeline years, so figures stay aligned as they update.

03

Principles

  • 01

    Diagnosis precedes prescription

    No action appears before the specific failure it answers has been stated. The order of the panel is the argument of the product.

  • 02

    One action per region

    A menu of options invites deliberation; a single named prescription invites a decision. Depth is available on demand rather than by default.

  • 03

    Every plan names its executor

    The deployment force sits inside the prescription. An intervention without hands attached is analysis, not a plan.

  • 04

    Cost per person, not per project

    Blended CapEx per capita is the common denominator that makes a sand dam and a desalination plant comparable on one screen.

FAQ

Questions

OneDrop is an AI geospatial diagnosis terminal for the global water crisis. It maps twelve stressed regions and gives each one a diagnostic analysis, a prescribed restorative action, a named deployment force, and an estimated cost per capita.

Twelve, including the Colorado River Basin, the Navajo Nation, Flint and the Rust Belt, the Amazon Delta and Páramos, Northeast Brazil's sertão, the Sahel, rural Machakos in Kenya, the Horn of Africa, the Arabian Peninsula, the Ganges Basin, Jakarta, and the Pacific island atolls.

Named engineering and land-management interventions rather than categories — reinforced concrete sand dams, atmospheric generation with micro-RO, lead service line replacement with point-of-use bio-filtration, farmer-managed natural regeneration, containerized solar water farms, and green-energy SWRO decoupling among them.

A panel naming the deployment force that would actually execute the prescribed action for that region, along with the type of support it requires.

As an estimated blended capital expenditure per capita, shown beside the regional population at risk, so interventions of very different types can be compared on the same basis.

Around 2.2 billion people currently lack reliable safe water. OneDrop tracks more than 2.9 million reached to date, at a pace near five million a year and a blended cost around $120 per capita.

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