Using Dot to Triage Feedback and Investigate Product Bugs

A Dots engineer walks through a workflow for using the Dot assistant to collect, categorize, and act on product feedback from external and internal sources. The demonstration covers feedback tracking, theme summarization, root-cause investigation, and a small code-fix workflow. It also shows how voice and page-based requests can delegate investigation tasks to the assistant.

■ Feedback collection and dashboard setup
- Creating a Dot space and dedicated feedback page
- Using a split-screen, color-coded table to organize feedback
- Updating an external feedback tracker from Reddit and Twitter

■ Triage and prioritization
- Summarizing recent themes and issue categories by voice
- Reviewing silent stalls, connectivity, and continuity issues
- Prioritizing silent stalls for investigation

■ Investigation and fix workflow
- Opening a cloud thread for root-cause analysis
- Identifying a simple onboarding model fallback fix
- Preparing a pull request and reviewing investigation notes

■ Demonstrated delegation model
- Requesting work through page tags or voice
- Monitoring the assistant's browser-based research
- Updating the feedback tracker with new items

The content is aimed at product engineers, product managers, and teams exploring AI-assisted feedback operations. Viewers can see how an assistant can support feedback triage, issue prioritization, and early-stage bug investigation, while pricing and implementation details are not covered.