How packtpublishing/ux-for-enterprise-chatgpt-solutions works
This repository is companion material for a practical book on designing enterprise ChatGPT experiences, not an executable application. Its user-to-result workflow is educational: readers use the book and chapter resources to explore user needs, evaluate and prioritize quality, prepare conversational content, and assess style and ongoing UX practices. The files include worksheets, examples, and data samples rather than runtime components. The README documents these broad capabilities, but no source excerpts establish calls or a prescribed sequence between individual resources, so the graph shows no inferred data-flow edges.
Components 19
Research and strategy
- UX book
Chapter1-Full_Thesis.pdf - Conversation analysis
Chapter2-ConversationalLogAnalysis-2024.xlsb - Analysis template
Chapter2-ConversationalLogAnalysis-2024-empty.xlsx
Evaluation and prioritization
- Severity deep dive
Chapter4-Deep_Dive_into_Severity.pdf - Scoring examples
Chapter4-ScoringStoriesSamples.xlsx - WSJF worksheet
Chapter4-Scoring_Worksheet_for_Design WSJF.pdf
Content and localization
- Translation testing
Chapter5-Translate_to_Languages_for_Length Testing.gsheet - FAQ examples
Chapter6-Example_FAQs_for_Demo.docx - Plain FAQ examples
Chapter6-Example_FAQs_NoHTML_for_Demo.docx - FAQ spreadsheet
Chapter6-Example_FAQs_for_Demo.xls - FAQ collection
Chapter6-FAQS18files.zip - FAQ PDFs
Chapter6-FAQ_PDFs.zip - FAQ reference
Chapter6-FAQ-ALL.pdf - Conversation transcripts
Chapter6-Transcripts.docx
Quality and care
- Style training data
Chapter8-Style-TrainingData78.jsonl - Style validation data
Chapter8-Style-ValidationData20.jsonl - UX heuristics
Chapter9-HeuristicsChecklist.xls - Wisdom pyramid
Chapter12-WisdomPyramid.pptx
Other components
- Reader