The Art of Splitting Features and Epics into Playable Stories
summary
Three case studies split complex airline features into small, playable stories that get shipped and validated: a working iPad check‑in flow delivered as a first-story search by PNR and a second-story initiate check‑in/boarding pass so developers start the next day; a data analytics feature prototyped as a one‑row/one‑column table to expose value; and a scale spike across 5 million records (growing 15–20%/yr) that forces DB rework after initial releases. Prototypes and POCs work for early users but filters and full‑scale queries time out until indexing, architecture changes and technical spikes resolve performance.
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chapters (11)
- 0:00Start
- 0:12Case Studies
- 4:50What Does the Check-In Flow Look like
- 5:52Process Flow
- 6:44Initiate Check-In Step
- 7:18Input Traveler Information
- 10:18Breaking Down the Stories
- 25:11Case Studies with Increasing Complexity
- 25:22Data Analytics
- 43:26Evolving Incremental Value
- 53:11Quick Don'ts
