Story Maps: Episode IV - A New Slice
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It’s the beginning of a new project and you’re ready to start building some software. But which stories should you start with and why? We’ll start the session by teaching you some strategies for identifying your first horizontal application slice. We’ll also cover how an MVP may or may not be relevant to your project (“My client doesn’t need a thermal detonator, they need a completed Death Star”). In the remainder of the session you’ll get a chance to practice identifying your first slice based on a sample user story map.
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Story Maps: Episode IV - A New Slice
- 3. Tom DeMarco
- 6. Incremental Iterative http://blog.crisp.se/2016/01/25/henrikkniberg/making-sen “Deliver the smallest thing you can think of that will get the customer testing things and giving us feedback” - Henrik
- 7. Iterative 1 2 3 4 5 Credit: Jeff Patton Incremental
- 13. This type of iterative approach enables you to deliver value early and often
- 14. Some examples
- 15. Example: Objective vs. Subjective Quality
- 16. Release 1: Single, No kids, Dental Coverage Only, no Life & Disability Example: By market segment
- 18. Example: Blue Canvas Payroll
- 20. Example: Leasing System “You can’t terminate a lease until you can create one”
- 21. Example: Wizard of Oz
- 22. I have a great idea! • Review the materials • Designate one or more product owner(s) in your group • Copy the first 2 rows of the story map (next slide…) “I have a great idea!”Your Turn!
- 23. Manage Users Manage Content Register Login Modify Profile Post Recipe Edit Recipe Attach Photos Personalize Dashboard View favourites Meal planning Create grocery list Find Sales My recipes My stats My history Recipe Search Search for Recipe Scale recipes Rate/com ment on recipes Share recipes View author profile Your (draft) User Story Map
- 24. Finding your first slice
- 25. Feature Mining Jobs Value Size Risk Uncertainty Credit: Feature Mining by Richard Lawrence (modified slightly)
- 26. Jobs • What job(s) is your product being hired for? Jobs Value Size Risk Uncertainty Credit: Feature Mining by Richard Lawrence (modified slightly)
- 27. Value? • Where is the value in this application? • Why is this worth doing? • How can we make money? Jobs Value Size Risk Uncertainty Credit: Feature Mining by Richard Lawrence (modified slightly)
- 28. Size • What makes this big? • “Why isn’t this something we could just knock out in an afternoon”? Jobs Value Size Risk Uncertainty Credit: Feature Mining by Richard Lawrence (modified slightly)
- 29. Risk • What parts keep you up at night? • Where could this fail? • Where is the technical risk? Jobs Value Size Risk Uncertainty Credit: Feature Mining by Richard Lawrence (modified slightly)
- 30. Uncertainty • Where is the uncertainty? • What assumptions are we making? • What do we need to learn? Jobs Value Size Risk Uncertainty Credit: Feature Mining by Richard Lawrence (modified slightly)
- 31. Prioritize Jobs Value Size Risk Uncertainty Credit: Feature Mining by Richard Lawrence (modified slightly)
- 32. Brainstorm • Generate options: What could your skateboard be?? Jobs Value Size Risk Uncertainty Credit: Feature Mining by Richard Lawrence (modified slightly)
- 33. Agileforall.com/course/8020-product-ownership CODE: STEVESENTME = 10% discount
- 34. In Closing To find your first slice: - Generate the skeleton of your Story Map - Consider Together: - Jobs, Value, Size, Risk, & Uncertainty @Srogalsky & @protegra WinnipegAgilist@blogspot.com Steve.Rogalsky@protegra.com Steve Rogalsky Thanks! Questions? http://www.slideshare.net/SteveRogalsky/story-maps-episode-iv-a-new-slice
- 35. A final example
- 36. Credits • User Story mapping: – http://winnipegagilist.blogspot.ca/2012/03/how-to-create-user-story-map.html • Tom DeMarco quote & article: – https://www.computer.org/cms/Computer.org/ComputingNow/homepage/2009/0709/rW_SO_Viewpoints.pdf • Making sense of MVP (Henrik Kniberg) – http://blog.crisp.se/2016/01/25/henrikkniberg/making-sense-of-mvp • Feature Mining: – Richard Lawrence: http://agileforall.com/course/8020-product-ownership/ • Other interesting links – "How Thin is Thin?" An Example of Effective Story Slicing (Dave Rooney): http://blog.daverooney.ca/2014/08/how-thin-is-thin-example-of-effective.html – How to split a user story (Richard Lawrence): http://agileforall.com/resources/how-to-split-a-user-story/ • Images: – Death Star: http://www.starwars.com – Thermal Detonator: http://vignette3.wikia.nocookie.net/starwars – Wizard of Oz: https://theyellowbrickroadfreeblog.files.wordpress.com/2013/04/wizardofoz_4675.jp g