Automated Anonymous Feedback

An automated feedback system using AI voice technology to collect, process, and distribute customer feedback.

Key Components:

• Phone-Based Feedback Collection:

  • Create a dedicated phone number customers can call to leave anonymous feedback
  • Uses Claude (AI voice technology) to handle the conversation with callers
  • Allows customers to share experiences (e.g., "I had an amazing experience with Hampton")

• Automated Processing Pipeline:

  • Feedback gets stored in a database (Airtable)
  • System automatically summarizes the call content
  • Processed feedback is posted to Slack for team visibility

• Technical Stack:

  • Twilio for phone number and call handling
  • Airtable for database storage
  • Slack for team notifications
  • Claude for voice conversation

• Implementation Example:

  • Greg suggested building this for MFM (My First Million podcast)
  • Sam expressed interest in creating an "MFM hotline" where people can call and leave messages
  • Content could be repurposed for podcast segments

• Current Technology Status:

  • Voice AI technology is "85% there" according to Greg
  • Has improved dramatically in the last six months (from "20% there" to nearly complete)
  • Easy to implement ("easy peasy" to build)