User Stories Technique and Slicing Patterns
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This document discusses user stories and techniques for splitting large user stories into smaller stories that can fit into a sprint. It introduces the I.N.V.E.S.T. criteria for well-written user stories and provides many examples of ways to slice up stories, such as by workflows, business rules, major effort, complexity, data requirements, entry methods, platforms, languages, and users. It cautions against slicing stories in a way that does not allow for testing throughout development.
User Stories Technique and Slicing Patterns
- 1. User Stories New Delhi, March 2015 Dami叩n Buonamico
- 2. 2 User Stories Agile Technique for Agile Requirements
- 3. 3 Users Point of View
- 4. 4 Valuable to the Final User
- 5. 5 What Why How Feature Description User needs Business Goals Opportunities Database Structure to use
- 7. 7 I.N.V.E.S.T. in Good User Stories
- 12. 12 I.N.V.E.S.T Small Several Fits in a Sprint
- 13. 13 I.N.V.E.S.T Testable Acceptance Criteria 1 Acceptance Criteria 2 Acceptance Criteria 3
- 14. 14 Acceptance Criteria "All fields have validation against invalid type of data" "Error message are informed to the user, regarding his language." "Protection against spam is working." "Loading page time is not increased."
- 15. 15Which release had User Stories? A B
- 16. 16Which release had User Stories? A B
- 18. 18 Why Slice? More work fits in each Sprint
- 19. 19 Why Slice? Easier to Parallel Work
- 20. 20 Why Slice? Reduce risk of not delivering value 66% 75%
- 21. 21 Slicing: By Workflows Implement product certifications for security 1) As a Buyer I want to see the certification 2) As a Seller not yet certificated 3) As a Seller with already created certificate
- 22. 22 Slicing: By Business Rules As a Buyer I want to filter my search according to all the business rules. 1) As a Buyer I want to see only recent adds 2) As a Buyer I want to see only ads in my town 3) As a Buyer I want to see ads with pictures
- 23. 23 Slicing: By Major Effort As a Seller I want to modify my posting. 1) As a Seller I want to modify contact data 2) As a Seller I want to modify item data 3) As a Seller I want to add more pictures 4) As a Seller I want to delete pictures
- 24. 24 Slicing: By Complexity Validate data when user register as a new User 1) Server Side validation after submitting the form 2) Validation at the moment of entering the username.
- 25. 25 Slicing: By Data I want to auto locate my self in my city 1) I want to auto-locate in the main 5 cities 2) I want to auto-locate in the next 15 cities
- 26. 26 Slicing: By Entry Methods As a Seller I want to add pictures 1) From the Photo Gallery 2) From the Camera 3) From a Sharing from another App
- 27. 27 Slicing: Defer Performance As a Buyer I want to search the cities 1) City Search may have 10 seconds delay 2) Implement Caching to improve performance Or any other non-functional requirement
- 28. 28 Slicing: CRUD Operations As a Seller I want to post, edit and delete 1) As a Seller I want to Post an Ad 2) As a Seller I want to See it 2) As a Seller I want to Edit it 3) As a Seller I want to Delete it
- 29. 29 Slicing: By Platform 1) As an Android User 2) As an Web User I as buyer I want to Favorite an Ad
- 30. 30 Slicing: By Language 1) With my name in English 2) With my name in Hindi I want to reply in Ad
- 31. 31 Slicing: Buy / Build 1) Hiring a service provider 2) Implementing own service As a PM I want to have A/B Testing
- 32. 32 Slicing: Generic / Custom 1) Using the standard Android Library 2) Implementing a Custom Library As an Android Seller I want to add pictures
- 33. 33 Slicing: By User 1) As an Anonymous User 2) As an Registered User I as buyer I want to Favorite an Ad
- 34. 34 Slicing: Spike Research and Develop a new feature 1) Research 2) Implement
- 35. 35 How not to Slice 1) Code the Feature without Testing 2) Test and Fix the Bugs Later 1) Develop the Backend and API 2) Create the Client or Frontend
- 36. 36
- 37. 37 Questions