Data Mining JIRA Tickets to Gain Insights into Organizational Behavior
summary
Claims that built a Flask app that mined JIRA for Glyph links using the Python jira library and simple visuals. It extracts issue fields, counts issue types, and surfaces a table of ticket links and user mentions. Results run locally, not deployed because of authentication, and show only ~100 tickets in three months with a heavy self-linking skew. Visualizations are basic (pygal) and the slow JIRA searches plus mutable tickets limit repeatability.
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chapters (9)
- 0:00Data mining JIRA tickets
- 1:54Glyph operational tool
- 6:54Mining JIRA for usage insights
- 10:27JIRA ticket structure
- 14:28Flask app for JIRA analysis
- 22:22Project lessons learned
- 25:40Future improvements
- 28:32Mine your JIRA data
- 29:02Q&A
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