OVERVIEW

The People Say is a web-based qualitative database designed to help policymakers hear the voices of the public when shaping policy.

The database features first-hand insights from a diverse group of older adults and caregivers, as well as feedback from subject-matter experts on policies affecting older adults.

ROLE

  • Design Engineering Fellow

See the About Our Team page for a complete list of project collaborators.

DURATION

SCOPE

  • User Research
  • User Interface Design
  • Product Development

TOOLS

  • Figma
  • Laravel
  • Tailwind CSS
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CONTEXT

The American population is rapidly aging.
Our society needs to prepare for this demographic shift.

Percentage of population comprised of older adults

Adults over the age of 65 are projected to make up more than 20% of the population by 2030 and will comprise more than 25% of the population in rural areas by 2040.

PROBLEM

Health and aging policies and systems are typically designed from the perspective of people who run systems, rather than those who use them.

Even when advocates, policymakers, and providers do seek to learn from older adults, those engagements often have significant limitations.

GOAL

Highlight the value of spoken word and qualitative data. Make the experiences of older adults across America easily accessible to policymakers.

THE SOLUTION

A Platform for Experiences

Visitors can search and filter the database, read curated insight pages with accompanying video playlists, view participant profiles, read about our research methodology, and more. The content of the qualitative research database was collected from 66 older adults from around the country, seven caregivers and staff, and 13 subject-matter experts from government agencies, policy think tanks, research organizations, and academia.

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Homepage, www.thepeoplesay.org

FUNCTIONALITY

Content Offerings

This website revolves around three main ingredients — The Partcipants, The Database, and the Policy Insights. The data is collected, processed, uploaded to Airtable, and then queried to the website.

My role was to take this data and present it in a way that is easily parsable:

Design process diagram

PROTOTYPE / THE DATABASE

Accessing the data

I began by building a filtering system that makes the full dataset accessible. Based on user research, we decided the full dataset (~2,400 units) loads by default. Filters on the left narrow results, sorted by relevance. A key focus was clearly indicating which filters are active.

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This module on the homepage gives a easy way to discover what topics the data is sorted by without overwhelming the user.

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On clicking a data point the content is arranged with meta data on the left and main content from the interview on the right.

PROTOTYPE / THE DATABASE

Searching for Content

I began by building a filtering system that makes the full dataset accessible. Based on user research, we decided the full dataset (~2,400 units) loads by default. Filters on the left narrow results, sorted by relevance. A key focus was clearly indicating which filters are active.

Filter design iterations

I began by building a filtering system that makes the full dataset accessible.

Filter design iterations

Clicking on a tag on a data point leads to a filtered data base.

PROTOTYPE / THE DATABASE

Laying out the Content

The layout of the content cards themselves went under many revisions, even after launch.

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On clicking a data point the content is arranged with meta data on the left and main content from the interview on the right.

Filter design iterations

On clicking a data point the content is arranged with meta data on the left and main content from the interview on the right.

Filter design iterations

On clicking a data point the content is arranged with meta data on the left and main content from the interview on the right.

Filter design iterations

On clicking a data point the content is arranged with meta data on the left and main content from the interview on the right.

Filter design iterations

On clicking a data point the content is arranged with meta data on the left and main content from the interview on the right.

Result


The People Say was launched at the US Capitol in July 2024.