CASE STUDY

The Problem with Plumbing

Matician Innovation Challenge
Secton 01

Overview

01
Role
Product Designer
Timeline
3 months
Team
3 (UX, Design, Biz)
Outcome
1st Place
1
ST
Place - Matician Innovation Challenge
6
Stakeholder groups researched
5
Core user flows designed
01

What I Owned

-User research & stakeholder interviews
-End-to-end service design
-UI design across 3 device types

-Competitive landscape analysis
-Information architecture
-Presentation design for final pitch

The Challenge

Unnoticed leaks from domestic plumbing cause massive property damage, financial burdens, and water waste. 13.7% of household water is lost to leaks - yet homeowners rarely know until the damage is severe.

Every existing product on the market only alerts after damage has occurred. We asked: how might we help homeowners understand their plumbing health before emergencies happen?

Technology Context

We designed around an acoustic sensing system - a flexible pipe-wrapping band with a built-in microphone that listens for anomalies like trapped air, pressure changes, water hammer, hissing from pinhole leaks, and gurgling from blockages. My focus was on translating this complex sensor data into an experience homeowners could actually understand and act on.

02

User Research

6 stakeholder groups - Field visits - Expert interviews

"First of all you can't see it. Secondly, no one knows what to look for. The average person can't identify a crack or the difference between rust from time and rust that will cause an issue."

 PLUMBER
-> Users need translation, not raw data

"It's a very 'hear no evil, see no evil' issue. People want to think, if you don't know it's happening, then it doesn't exist."

homeowner
-> The app must make invisible problems feel real

Who I Designed For

Homeowner

 Primary
Needs: Simple alerts, clear next steps, cost transparency

Plumbers

 primary
Needs: Diagnostic data to arrive prepared, shared reports

Landlords

Needs: Multi-property dashboards, maintenance scheduling

Architects

Needs: Integration specs for new construction

Competitive Landscape

FloLogic
Flow-based only - alerts after leak has happened
Smart Water Sensor
Requires water to physically reach the sensor
StreamLabs
Consumption data only - no diagnostics
The design opportunity:
-Every competitor shows data after the fact.
-None help users understand what's happening, why it matters, or what to do about it. The gap isn't in detection technology - it's in communication design.
POST-PROJECT VALIDATION
In 2023 - two years after our project - Hydrific launched Droplet, a clamp-on ultrasonic sensor with AI-powered leak detection and a consumer app. It won a CES 2025 Innovation Award. The market has since validated the exact approach we designed for.
03
End-to-End Journey

The product isn't just an app - it's a full service experience from installation to repair. I mapped every touchpoint to identify where design could reduce friction.

Service Blueprint

The Problem with Plumbing

End-to-end experience - from discovery to ongoing relationship

Scroll horizontally to explore all 14 steps →

Frontstage
Backstage
Line of Interaction
Line of Visibility
Pain Point
Awareness
Purchase
Setup
Monitoring
Detection
Repair
Ongoing

Contact Points

Social adsPlumber card
WebsiteDemo video
Kit configurator
Product boxQR codeGuide
App storeApp
App AR guideSensors
App scan
DashboardEmail digest
Push notification
App detail3D model
Web report link
Plumber on-siteReport
App confirmation
Monthly emailReferral link

User Journey

Customer actions

📱
01

Discovers product via ad, referral, or plumber

🌐
02

Visits website, explores features and pricing

🛒
03

Configures and orders sensor kit for their home

📦
04

Receives package, unboxes sensors and guide

📲
05

Downloads app, creates account, starts setup wizard

📍
06

Places sensors room-by-room with AR guide

⚠ Biggest drop-off risk - if setup feels hard, users abandon

🔍
07

Runs initial health scan, names each fixture

😌
08

Monitors dashboard, receives weekly health digests

⚠ Must feel valuable even when nothing is wrong

🔔
09

Gets push notification about detected anomaly

⚠ Urgency without panic - tone is everything

🗺️
10

Reviews issue details, location, urgency, and cost

🔗
11

Shares diagnostic report with plumber via link

⚠ Plumber must never need to download an app

🔧
12

Plumber arrives with context, completes repair

13

Marks resolved, system recalibrates baseline

📊
14

Monthly reports, referrals, system gets smarter

Interaction

Frontstage

What user sees

Landing Page

3D home visualization, pricing calculator, "How it works" explainer

Kit Builder

Select # rooms, pipe types, recommended sensors with live preview

Onboarding Wizard

Account creation, home profile, connect-to-Wi-Fi flow

AR Placement Guide

Phone AR overlay shows optimal sensor positions on pipes, real-time connection confirmation

Initial Scan UI

Progress animation, room-by-room results, "All clear" confirmation

Health Dashboard

Calm green indicators, "last checked" timestamps, seasonal tips

Alert Notification

Calibrated tone by urgency, plain-language summary, tap to expand

Issue Detail View

3D location highlight, urgency spectrum, cost comparison, repair suggestion

Share Report

One-tap generation, no account needed for plumber, full diagnostic data

Trend Report

"Prevented $X damage," referral credit, improvement trends

Visibility

Backstage

Behind the scenes

Lead Scoring

Attribution tracking, retargeting for non-converters

Kit Assembly

Custom assembly based on config, shipping logistics

Device Pairing

Bluetooth handshake, Wi-Fi registration, cloud provisioning

Baseline Collection

ML model calibration per home, initial data pipeline

Anomaly Detection

24/7 sensor collection, false positive filtering, model refinement

Classification Engine

Type + severity scoring, confidence threshold before alerting

Diagnosis Pipeline

Cost estimation, photo comparison, plumber database lookup

Repair Resolution

Post-repair recalibration, new baseline established

Long-term Analysis

Impact quantification, firmware updates, model accuracy tracking

Support

Infrastructure

CMSAnalytics
E-commerce platform
Auth serviceCustomer DB
IoT managementAR framework
ML platformData pipeline
Email serviceNoise filters
Notification serviceClassifier
Pricing DBRepair KB
Report generator
OTA infraReferral system
Awareness
Purchase
Setup
Detection
SETUP

Installation & Onboarding

User wraps acoustic sensors around pipes with guided placement. The app walks through room mapping, naming each fixture, and running an initial sound baseline scan.

How do you help a non-technical person wrap sensors around pipes in the right locations without a plumber?
Touchpoints: App, Acoustic sensors, Printed guide
MONITOR

Passive Monitoring

The system listens quietly, building a baseline of what "healthy" sounds like for this specific home. Users see a calm dashboard - no news is good news.

How do you design for a product that works best when there's nothing to show?
Touchpoints: App dashboard, Weekly digest email
ALERT

Issue Detection & Notification

When an acoustic anomaly is detected - trapped air, unusual flow patterns, pressure changes - the system classifies it and sends a push notification with a clear explanation.

How do you communicate urgency without causing panic? Water hammer at 2am vs. gradual pressure drop have very different tones.
Touchpoints: Push notification, App detail view
UNDERSTAND

Diagnosis & Recommendation

The detail view shows what the issue is, where it is, how urgent it is with a predictive timeline, and what the repair would cost now vs. later.

How do you translate "anomalous frequency pattern at 2.4kHz on sensor 3" into "trapped air near your kitchen sink"?
Touchpoints: App detail view, Sound comparison
ACT

Repair & Handoff

The user shares a diagnostic report with a plumber via link. The plumber sees sensor data, sound comparisons, and suggested repair. No app download needed.

How do you design a handoff between a consumer app and a professional service provider?
Touchpoints: Shareable report, Plumber directory
04

Key Design Decisions

The hardest part of this project wasn't the technology - it was translating complex acoustic data into something a homeowner could understand without being a plumber.

Why acoustic-only instead of adding a camera?

Acoustic + Vision (dual sensor)
Acoustic only ✓

We initially explored computer vision for detecting visual pipe changes like rust. But in practice, most pipes are behind walls or in dark spaces where a camera is impractical. Acoustic sensing covers more ground - leaks, air pockets, pressure, blockages - from a single non-invasive band. Dropping the camera simplified the hardware, reduced cost, and kept the product focused.

How do we communicate what a sound anomaly means?

Raw waveform data
Plain-language translation

A waveform showing 2.4kHz frequency spikes means nothing to a homeowner. We translate every acoustic anomaly into plain language: "trapped air in the pipe near your kitchen sink." The raw data is available behind an expandable "Technical Details" section for when a plumber needs it.

How do we balance alerting without alarming?

Binary alert (issue / no issue)
Urgency spectrum ✓

Air trapped in a pipe doesn't need the same tone as active water hammer at 2am. We designed a gradient from green to red with a timeline showing "this is where you are now" vs. "this is where it's heading." Gives users agency to decide when to act.

How do we design for the plumber handoff?

PDF export
Shareable link
In-app plumber view
Shareable diagnostic report ✓

A plumber doesn't want to download an app. We designed a web-based report they can open from any link - showing the issue type, location, acoustic data, and baseline comparisons. The plumber arrives knowing what tools to bring.

05

Interface Design

A companion app that gives homeowners full visibility into their plumbing system - from real-time acoustic monitoring to predictive alerts and repair coordination.

01

Home Dashboard

Acoustic Health Overview

A house diagram shows all sensor placements across rooms. Status indicators show sensor count, active warnings, and critical alerts. Users can tap a room to see acoustic trends and individual sensor data.

Key Decisions
Room-based spatial view over flat sensor list
Sensor count + warning/critical summary over single health score
Progressive disclosure - overview first, details on tap
02

Onboarding Flow

Guided Setup

A step-by-step wizard walks the homeowner through sensor placement. Each step shows where to wrap the band, confirms connection via a test sound, and lets the user name each fixture.

Key Decisions
Placement diagrams over written instructions
Sound-based connection test for instant feedback
User-defined naming ("kids bathroom sink") over system IDs
03

Issue Detection

Acoustic Anomaly Alert

When the system detects an anomaly - like trapped air creating a rhythmic hammering pattern - the detail view translates it into plain language, shows an urgency spectrum with predictive timeline, and compares the repair cost of acting now vs. waiting.

Key Decisions
Plain-language translation over raw acoustic data
Urgency spectrum with timeline over binary alert
Cost comparison as a motivator for action
04

Sound Comparison

Baseline vs. Current

Users and plumbers can listen to and see waveform visualizations comparing the healthy baseline sound with the current anomaly. A clear "here's what changed" summary accompanies the visual.

Key Decisions
Side-by-side waveform comparison for credibility
Playable audio samples for intuitive understanding
Technical details expandable for plumber reference
05

Plumber Handoff

Shareable Report

A web-based diagnostic report the homeowner shares via link. Contains issue type, location, acoustic data, baseline comparison, and suggested repair with cost and tools. No app download required.

Key Decisions
Web link over PDF - accessible on any device
No account required for plumber - reduce friction
Include tools/parts info so plumber arrives prepared
06

Outcome

1st
Matician Innovation Challenge

Selected from competing teams for the strongest combination of problem framing, technical feasibility, and design execution.

What the judges noted
Clear problem-to-solution narrative
Acoustic approach as a practical differentiator
Strength of user research grounding
What worked in the design
Room-based spatial model felt intuitive
Urgency spectrum reduced false alarm anxiety
Plumber handoff bridged consumer-pro gap
What we'd explore next
Longitudinal testing with real sensor data
Integration with smart home ecosystems
Multi-property / landlord use case

"It's 2030. A homeowner walks in after work. Her digital assistant tells her that an unusual sound pattern was detected near the basement pipe junction - likely early-stage air trapped in the line. The diagnostic report is already in her portal. The assistant offers to schedule a plumber for tomorrow morning."

- Our vision for the future
067

What I Learned

01
The biggest design challenge was translation - taking acoustic frequency data and making it feel like a natural conversation about your home. Raw waveforms are useless if users can't act on them.
02
We originally explored adding computer vision for detecting rust and corrosion. After evaluating feasibility, we narrowed to acoustic-only. A single sensor type simplified the hardware, reduced cost, and kept the product focused. Knowing when to cut scope is a design skill.
03
Designing for invisible problems requires building trust over time. The "nothing is wrong" state is just as important as the alert state - the app needs to feel valuable even when everything is healthy.
04
The plumber handoff was an afterthought that became a centerpiece. Realizing the product needed to serve two completely different users (homeowner and professional) reshaped the entire information architecture.