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Product design and research, 2024

Hudson: taking the conflict out of shared chores

Nobody wants to be the roommate who nags. Hudson uses a home hub, sensors, and smart reminders to keep chores fair, so people don't have to have that conversation.

Overview

Problem

35% of college roommates in our research had conflicts over incomplete chores, largely because nobody wants to confront a roommate about it.

Solution

A smart-home system, made up of a hub display, sensors, and a companion app, that assigns chores fairly based on schedules, sends reminders, and verifies when chores are done.

My role

Product designer and UX researcher on a team project, from early concept exploration through research, synthesis, and prototyping.

Outcome

A Figma hub prototype shown on a framed iPad, a companion app design, and two working sensors that detect a full trash can and a full sink.

Timeline
January to April 2024
Team
Team project
Methods
Contextual inquiry, diary study, survey, journey and empathy maps, personas, user enactments, physical prototyping
Tools
Figma, Qualtrics
The Hudson hub running on an iPad in a stand on a shelf, showing the time and date, buttons for chores, calendar, profiles, and settings, and today's chore schedule with each task color-coded.

The challenge

35% of college roommates in our research had conflicts over incomplete chores.

The chores themselves weren't the hard part. People avoided bringing up missed tasks because they feared conflict, didn't know how to start the conversation, or had no shared system to point to. The result was predictable: one person quietly picking up most of the work.

How might we help roommates share chores fairly without anyone having to play the enforcer?

Finding the right problem

We started wide. Our team brainstormed 80 ideas for technology woven into everyday spaces, narrowed them through three rounds of voting, and ran contextual inquiries for the top three: checkout-free shopping, productivity for remote workers, and chore management for roommates.

We chose chores because the problem was common, emotionally loaded, and a natural fit for smart-home technology.

Sticky notes comparing two household audiences, families with children and shared roommate households, and the cleaning situations each one faces.
Exploring which households to design for

Research

A diary study inside real homes

Homes are private, so instead of observing, we asked people to document their own routines. For 5 days, participants logged chores twice a day in a shared spreadsheet: what was assigned, what got done, who did it, and how they felt about it.

Diary study spreadsheet template with columns for chore, time, whether it was the participant's responsibility, and a 1 to 5 feeling rating, plus areas for end-of-day thoughts and images, with a tab for each of the five days.
The diary study template participants filled in

A survey for the bigger picture

To see whether our diary findings held up more broadly, we ran a 20-question Qualtrics survey through University of Michigan channels, reaching about 30 people ages 22 to 55 who share chores.

Bar chart of responses to whether people have had conflicts with roommates over chores, showing both yes and no responses.
Have you had conflicts with roommates over chore assignments?
Bar chart of how many chores people typically complete in a day, with most answering 0 to 2.
How many chores do you typically complete in a day?

What we learned

  1. Households split chores in very different ways

    Some people handled their own chores, some households took turns, and many never discussed it at all.

  2. The load is rarely shared evenly

    Without a system, one person tends to carry most of the responsibility, which leads to tension and frustration.

  3. Missed chores spread

    When someone skips a task, it becomes everyone's problem. Many participants ended up doing other people's chores.

  4. Most households don't track chores

    Instead, they rely on verbal check-ins, which often fall apart.

Roommate leaving dishes in the sink annoyed me, making me do dishes twice in one day.

Participant

Synthesis

We turned our findings into a journey map, an empathy map, and personas focused on people ages 22 to 35 in shared housing. The journey map made one thing clear: roommates feel anxious about calling out neglected chores, so a neutral third party, like a device, could lower the tension.

Journey map of a roommate trying to establish chore responsibilities, moving through stages from recognizing the need to resolution, with quotes, technology used, an emotion curve, and opportunities at each stage.
Journey map of a roommate setting up a chore system

The empathy map captured the emotional cycle: hope when someone proposes a new system, then disappointment when it isn't adopted.

Empathy map for a persona named Kris Jackson, with sticky notes grouped into what she hears, sees, says and does, thinks and feels, pain points, and wants and needs.
Empathy map

Testing ideas with user enactments

Before designing screens, we wanted to know how much a smart home should step in. We ran five user enactments, using props to act out scenarios with people who live with roommates. For planning chores, doing them, and handling conflict, we tested high, medium, and low levels of involvement.

A sample of the scenarios we enacted
StageHigh involvementLow involvement
PlanningThe system moderates chore assignments with on-screen instructions and voice promptsThe system simply records the chores each person enters
Doing choresThe display changes and plays a sound when the assigned person walks byThe display shows the assigned person's name and chore
ConflictThe system moderates the conflict with instructions and voice promptsDim red lights flash on chores that haven't been done

The enactments showed that people already knew which chores needed doing; the real gaps were motivation, fairness, and accountability. Reminders helped, but anything too aggressive risked embarrassing people in front of their roommates.

Whoever buys the device will probably be the only one who cares. They'll have to lead everything.

Participant

Hudson addresses this by handling assignments and reminders itself, so no single roommate has to act as the enforcer.

The solution

Three Hudson features: a sensor status screen showing household areas, a chore schedule assigned across roommates, and a reminder asking Jeffrey whether he wants to do the dishes he forgot.
Hudson senses, assigns, and reminds

Hudson works quietly in the background of a shared home:

  1. Set up once

    Place the hub in a shared space, add sensors near spots like the trash and sink, and sync calendars.

  2. Assign fairly

    Hudson assigns chores based on everyone's schedules and preferences.

  3. Remind at the right time

    The hub shows each person their chores as they walk by, and reminders arrive as due times approach.

  4. Verify

    People check chores off on the hub or app, and sensors confirm them.

  5. Follow up neutrally

    Missed chores get flagged with options to reassign or talk it through.

Three companion app screens: a home screen listing roommates, completed chores, and a to-do list; a chores calendar; and a form to add a new chore.
The companion app

Building the prototype

We built the hub interface in Figma and mounted it on an iPad in a custom frame to simulate how it would look in a real home.

The Hudson hub on an iPad showing a reminder to Jeffrey that he forgot to clean the dishes this morning, asking if he wants to do them now, with Yes and Snooze buttons.
A reminder when someone walks by

We also built two working sensors. A light sensor inside a trash can turned on a light outside when the can got full, and turned it off once the bag was changed. An ultrasonic range finder over the sink triggered a blinking light when dishes piled up. For AI and proximity detection, we used a Wizard of Oz approach, simulating those features behind the scenes.

Prototype architecture diagram. Trash, sink, and camera sensors feed the Hudson central hub, which controls notification lights and sends mobile notifications. AI and proximity sensing were simulated using a Wizard of Oz approach.
How the prototype fit together

Explore the Figma prototype

Accessibility

Accessibility in this project

Installing cameras and sensors around a home is a real barrier for people with physical disabilities. We identified ways to make Hudson work for more people:

  • Simplify installation, or offer setup assistance.
  • Support multiple modalities, like visual and audio alerts, for people with physical, visual, or hearing disabilities.
  • Make the whole system manageable regardless of physical ability.

Reflection

Hudson taught me that the hardest design problems are often social. Designing reminders that motivate people without embarrassing them mattered as much as the technology behind them.

It also showed me the limits of the concept. Sensors and cameras raise privacy concerns, and if they misjudge a chore, the system could create the unfairness it's meant to fix. Next, I'd expand the survey beyond our first 30 participants and test the system in real homes over time.

An interactive version of this case study, with the full Miro board and prototype, is available on Notion.

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