Technology
Support a Pilot Project to Survey Liberal Non-voters in the '24 Election
In the 2020 election, 6.5 million liberals who voted for Biden either did not turn out or split their vote in 2024. As a result, Harris lost by approximately 2.4 million votes—that’s the election, plain and simple.
Our pilot aims to survey the thoughts, emotions, and contexts behind non-voting. We propose using both traditional and AI-powered tools to analyze responses.
Artificial intelligence helps us dissect large volumes of direct voter feedback to identify the specific sentiments and issues driving behavior. Combining this data with traditional metrics adds a new dimension to voter behavior. This data-driven approach allows us to develop more precise messaging, policy, and organizing strategies as we prepare for 2026.
We need your help to raise $25,000 for the survey, voter outreach, and analysis. Take a look at our pilot and give to help correct the conversation about why we lost in 2024.
If you think we've got a good plan, give to help us enable it. If you think we need to listen more to the people than the pundits, give today.
Two Voter Profiles, Choose the Most Useful One
We want to give liberal communicators and policy people the best information available
Below you'll find two voter profiles. One lists the data and demographic descriptions we'd usually expect when researching voter audiences. The other includes all of the extra insights unlocked by artificial intelligence.
If you're a policy analyst, which one gives you a better idea of context? If you're an organizer, which one helps you prepare volunteers for voter outreach? If you're a communicator, which profile gives you the best chance at creating an effective message or strategy?
Traditional Voter Profile: Wage-Worried Will
The following profile represents the kind of data we normally use to begin policy analysis, comms strategies and organizing campaigns.
Demographics:
Name: Will
Age: 34
Location: Detroit, MI
ZIP Code: 48204
Congressional District: 10
House District: 34
State Senate District: 5
State House District: 44
County: Wayne
Township: Curtis
Household Income: $45,000/year
Occupation: Retail worker, part-time gig worker
Household: Single, supporting younger sibling
Voting History:
Voted in Primary & General Elections, last five cycles
2024
2022
2020
2016
Voted in municipal & off year elections
2023
2019
Voting Scores
Catalist, Harris support 2024: 61
Catalist, generic Democrat support 2022: 76
Catalist, Biden support 2020: 94
Catalist, Clinton support 2016: 62
Organizing History, last 365 days:
50 one on ones
5 leaders recruited
14 events attended
100 volunteer hours
AI-powered Voter Profile: Wage-Worried Will
The following profile represents the kind of data we CAN use to begin policy analysis, comms strategies and organizing campaigns.
Primary Concern:
Will is deeply concerned about earning enough to cover rising living costs. He seeks stable employment that offers a living wage, fair benefits, and job security.
Demographics:
Name: Will
Age: 34
Location: Detroit, MI
ZIP Code: 48204
Congressional District: 10
House District: 34
State Senate District: 5
State House District: 44
County: Wayne
Township: Curtis
Household Income: $45,000/year
Occupation: Retail worker, part-time gig worker
Household: Single, supporting younger sibling
Voting History:
Voted in Primary & General Elections, last five cycles
2024
2022
2020
2016
Voted in municipal & off year elections
2023
2019
Voting Scores
Catalist, Harris support 2024: 61
Catalist, generic Democrat support 2022: 76
Catalist, Biden support 2020: 94
Catalist, Clinton support 2016: 62
Organizing History, last 365 days:
50 one on ones
5 leaders recruited
14 events attended
100 volunteer hours
NLU Data Analysis:
Key Terms from LSA Economic Well-being Survey Analysis
A Look at the Five Component Emotions in the Survey
Top Concepts Related to "A Living Wage"
SVO Patterns and Trends Integration in the Survey
Motivations
Goals
Pain Points
Join Project 3.5
Help us create change that lasts
We want to organize 3.5% of Michigan, tear down the barriers of inequality and replace it with dignity and opportunity.
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