Turn Launch Feedback Into Evidence-Backed Actions
Written by the author, AI-editedAI-assisted, author-verified How this module was made
The supplied fictional dataset combines feedback, reviews, support messages, analytics notes, and bug reports. Each record has a stable ID so findings and recommendations can be checked against their source evidence.
What you’ll do
- Ask AI to classify and group the launch feedback.
- Verify important findings against the cited records.
- Challenge the first analysis in a fresh AI conversation.
- Accept, reject, revise, or defer the proposed actions.
Materials
- AI Deployment Resources/launch-feedback-dataset.md
- AI Deployment Resources/launch-feedback-analysis.md
- AI Deployment Resources/feedback-analysis-review.md
- AI Deployment Resources/Lesson Prompts/lesson-3-prompts.md
- An AI assistant that can work with Markdown files
The supplied analysis is a completed example that can be used for the independent review if your own result differs.
Output
By the end of the lesson, you’ll have:
- launch-feedback-analysis.md
- prioritized-launch-actions.md