Resources
Win with relational organizing
Practical guides on relational organizing, AI campaign tools, canvassing and turf cutting, volunteer management, and running a modern, affordable field program.
Product Guides
Relational Texting: How Volunteers Text Voters They Know
Relational texting lets campaign volunteers send a pre-scripted message to people they already know — neighbors, friends, and phone contacts — straight from their own phone. In Threshold, volunteers find people two ways: searching their address to see nearby registered voters, or importing their contacts to match against the voter file. This guide covers both, plus how staff set the script and invite volunteers.
FAQ
Threshold FAQ: AI-Powered Campaign Organizing
Threshold is an AI-powered organizing platform for campaigns, organizers, and volunteers. It turns voter data, volunteer relationships, events, lists, and outreach conversations into organized action and reportable data. This FAQ answers the most common questions about relational organizing, voter-file matching, Paper-to-Voter-File scanning, AI Coach, SmartTurf, canvassing, pricing, exports, and how Threshold differs from legacy tools.
Product Guides
Threshold User Guide: Setup to Export
This guide walks organizers and volunteers through Threshold end to end: signing in, building a relational contact list, scanning handwritten sheets, matching people to the voter file, prioritizing and logging outreach, using AI Coach, building lists and turf with SmartTurf, running events and messaging, admin setup, and exporting clean, VAN-ready data.
Platform
Why Threshold: AI-Native Relational Organizing
Threshold is an AI-native relational organizing platform that turns volunteers' real relationships into measurable voter contact. It replaces opaque, gamified legacy tools with professional-grade infrastructure — patent-pending handwriting-to-voter-file matching, an AI coach that also does the data entry, geocoded contacts, and customizable reporting — so organizers spend their time moving people, not cleaning data.