Project data: 1 March 2024
This tool started as a prototype idea at one of Campaign Lab’s AI hack days. You can try out the original prototype here: https://doorknocking-bot-peymanity.replit.app/
The Door Knocking Training Bot is an interactive training platform where campaigners practice doorstep conversations with diverse AI-generated voter personas. Built by veteran Campaign Labbers Peyman and Ben. Hannah created 100 simulated personas, based on the More in Common seven segments using ChatGPT. Each persona had a different reason they would vote Labour and would open the door in a different mood.
The LLM then acts as a different persona and the users then have a doorstep conversation. The conversation is then sent to the LLM to analyse and provide feedback based on a limited sample of 20 “good” doorstep conversations, guides, and training for activists. The bot then gives the user a score out of 10 and lists the strengths and weaknesses of their conversation. The system analyses each conversation against effective canvassing examples, providing personalised feedback, a performance score, and specific areas for improvement.
This tool has now been developed further into a canvass training bot and is related to the Trade Union Rep Training bot – Rep Coach.
Contact: [email protected]
8 May 2025