Product Interview Recorder: Capture Insights Safely

Learn how product managers use justREC to record customer interviews, transcribe audio, extract feature requests, and save structured notes locally on macOS.

Published on 2026-05-31

Product interviews and user research sessions are goldmines of insights. However, transcribing calls manually is tedious, and cloud-based AI note-takers often raise flags with corporate security or compliance officers due to data retention policies.

justREC provides product managers and UX researchers with a macOS-native, local-first meeting recorder that ensures customer feedback is captured securely.


The Workflow: Product Interviews with justREC

1. Simple Local Recording

When launching a user interview, start justREC. It records system audio (the customer) and your microphone (your questions). There are no bots joining the meeting, which helps keep the conversation natural.

2. Organize by Project Workspace

Group interviews by cohort, feature branch, or research study. Every recording is stored in its respective project directory (e.g., /Workspace/justREC/User-Testing-v2/).

3. Extract Context with Your Own AI

Using your own OpenAI or Anthropic API key, transcribe and summarize the call. Because justREC is Bring-Your-Own-Key (BYOK), you can customize your summary template to extract:

  • User Pain Points
  • Feature Requests
  • Bugs & Usability Issues
  • Direct Quotes

4. Portable Notes (Markdown Export)

Export the output directly as Markdown. Drag the file into Obsidian, Notion, or your product roadmap workspace. You can also export as DOCX or PDF reports to share summaries with stakeholders.


Why Product Teams Choose justREC

  • GDPR & Compliance Safe: Customer conversations stay local on your Mac. You do not send audio to a third-party startup's cloud storage.
  • No Bot Disruption: Many enterprises block bots (like Otter or Fathom) from joining Zoom or Teams. justREC records locally without needing calendar access or bot integration.
  • Cost-Efficient Analysis: Transcribing hours of interviews can get expensive with monthly subscription models. With raw API keys, 10 hours of interviews cost about $1.50 in total API usage.