Build Measure Learn is Broken, ACE!
•
3 gefällt mir•485 views
The Build, Measure, Learn loop is at the center of the Lean Startup approach, which is becoming increasingly popular among companies of all sizes. While the framework calls for very UX-friendly processes, such as collecting iterative feedback and focusing on building a Minimal Viable Product (MVP) required for doing so, the way most companies implement Build, Measure, Learn is broken and reinforces bad old habits of building first, assuming later. Many engineering teams use Build Measure Learn as an excuse to jump into building a skeleton version of a product, assuming that they can only get good feedback once they have working code. While most of us know you should incorporate research earlier, and the Lean Startup approach actually calls for it, it can be hard to change the minds of development-centered thinkers. In this session, I’ll provide an overview of the Lean Startup and Build Measure Learn framework, pros and cons of these approaches, and tips for teams to utilize these approaches to infuse learning into their process as soon as possible.
Empfohlen
Empfohlen
Weitere ähnliche Inhalte
Was ist angesagt?
Was ist angesagt? (20)
Ähnlich wie Build Measure Learn is Broken, ACE!
Ähnlich wie Build Measure Learn is Broken, ACE! (20)
Mehr von Amanda Stockwell
Mehr von Amanda Stockwell (16)
Kürzlich hochgeladen
Kürzlich hochgeladen (20)
Build Measure Learn is Broken, ACE!
- 1. Cześć
- 2. Build Measure Learn Is Broken @MandaLaceyS @MandaLaceyS | #aceconf
- 3. 3 Image from http://theleanstartup.com/principles @MandaLaceyS | #aceconf
- 4. What is The Lean Startup, again? @MandaLaceyS | #aceconf
- 5. Lean Startup A method to develop new businesses and products that addresses uncertainty and risk through cycles of rapid experimentation. @MandaLaceyS | #aceconf
- 7. Art by Allie Brosh @MandaLaceyS | #aceconf
- 11. Lean Startup Concepts Entrepreneurship is everywhere. Eliminate waste. Innovation Accounting. Validated Learning. Build. Measure. Learn. @MandaLaceyS | #aceconf
- 16. Build - MVP Measure - Meaningful data Learn - To pivot or persevere @MandaLaceyS | #aceconf
- 18. Minimum Viable Product (required to learn) @MandaLaceyS | #aceconf
- 19. DA REAL MVP NOT half baked NOT a bad experience NOT necessarily code @MandaLaceyS | #aceconf
- 20. GOOD MVP @MandaLaceyS | #aceconf
- 21. GOOD ITERATION @MandaLaceyS | #aceconf
- 22. GOOD ITERATION @MandaLaceyS | #aceconf
- 23. NOT MINIMUM @MandaLaceyS | #aceconf
- 24. NOT VIABLE @MandaLaceyS | #aceconf
- 25. NOT HALF-Baked NOT VIABLE @MandaLaceyS | #aceconf
- 27. Validated Learning @MandaLaceyS | #aceconf
- 28. answer Actionable MetricsVanity Metrics* Anything that looks good but doesn’t help you make a decision Examples: • Facebook likes • Pageviews • Event attendees Tied to specific, repeatable tasks and help you decide whether you’re succeeding or not Examples: • Revenue per customer • Retention rate • Customer source @MandaLaceyS | #aceconf
- 29. *Metric Caveat @MandaLaceyS | #aceconf
- 31. 31 Pivot! Pivot! PIVOT! @MandaLaceyS | #aceconf
- 32. 32 @UXDC @MandaLaceyS | #UXDC2017@MandaLaceyS | #aceconf
- 34. Observe Question Hypothesize Experiment Conclusion Learn Measure Build @MandaLaceyS | #aceconf ?? ?? ??
- 35. Art by Allie Brosh @MandaLaceyS | #aceconf
- 37. So what should the team do? @MandaLaceyS | #aceconf
- 38. 1. Start with a problem [Based on GOOB] @MandaLaceyS | #aceconf
- 41. Interviews, diary studies, experience mapping, etc. Experience Map @MandaLaceyS | #aceconf
- 43. 43 The cat doesn’t have a bed, causing him to look for other places to sleep. @MandaLaceyS | #aceconf
- 44. 44 NOT: We should build a cat bed. @MandaLaceyS | #aceconf
- 45. 45 NOT: The cat is too big for the box. @MandaLaceyS | #aceconf
- 46. 2. Make a clear hypothesis @MandaLaceyS | #aceconf
- 47. If we [do, build, provide x thing], then [these people] will [some desirable outcome]. We’ll know when [actionable metrics]. @MandaLaceyS | #aceconf
- 48. 48 If we build a comfy nap place, then Sammy won’t sleep on my keyboard. We’ll know this when I’m able to work 2 hours of uninterrupted work 5 days in a row. @MandaLaceyS | #aceconf
- 49. 3. Design your experiment @MandaLaceyS | #aceconf
- 50. A/B Tests @MandaLaceyS | #aceconf
- 51. Wizard of Oz @MandaLaceyS | #aceconf
- 52. Ad Tests @MandaLaceyS | #aceconf
- 53. 4. Generate solutions together [Aka figure out what your MVP is] @MandaLaceyS | #aceconf
- 54. Participatory Design @MandaLaceyS | #aceconf
- 55. 6 up, 1 ups Idea IdeaIdeaIdea IdeaIdea 6 Ideas @MandaLaceyS | #aceconf
- 56. 6 up, 1 ups Idea Best Idea Notes @MandaLaceyS | #aceconf
- 61. 5. THEN run your test @MandaLaceyS | #aceconf
- 62. Start with Think @MandaLaceyS | #aceconf
- 63. 63 Image from http://theleanstartup.com/principles @MandaLaceyS | #aceconf
- 64. 64 Image from http://theleanstartup.com/principles @MandaLaceyS | #aceconf
- 66. Start here!! @MandaLaceyS | #aceconf
- 67. Reduce cycle time. Not build time. @MandaLaceyS | #aceconf
- 69. The more precise your hypothesis, the less you have to build, the easier it is to come to conclusions, the faster you can go. PROTIP
- 70. The more precise your hypothesis, the less you have to build, the easier it is to come to conclusions, the faster you can go. PROTIP
- 71. The more precise your hypothesis, the less you have to build, the easier it is to come to conclusions, the faster you can go. PROTIP
- 72. The more precise your hypothesis, the less you have to build, the easier it is to come to conclusions, the faster you can go. PROTIP
- 73. Don’t forget the big picture. @MandaLaceyS | #aceconf