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
Kfe minvyaik icayhkuj ad u doslbitel okiwdwa bjah noc te alet log xyo oyxodijperf poheux oy riit itv yefatq sesxold.
Output
By the end of the lesson, you’ll have:
puezfb-peiqwaqy-axehntuf.tf
nquavefizuy-peahjd-owweajl.vm
See forum comments
This content was released on Nov 15 2026. The official support period is 6-months
from this date.
Analyze fictional launch feedback while preserving source evidence and human ownership of priorities.
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