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Perfectly Executing The Wrong Plan (Chinese)

3c0b492a599715b69b5ed1363a9c2c4f?s=47 Tomer Sharon
November 19, 2014

Perfectly Executing The Wrong Plan (Chinese)

完美执行着错误计划

My keynote talk from the User Friendly 2014 conference held in Wuxi, China on 13-16 November.

App developers ask themselves excellent questions about their users: Do people need my app? Can people use my app? Why do people sign up and then not use my app? However, app developers answer their excellent questions in invalid and unreliable ways. It is shocking to see how much effort app developers put in writing elegantly structured, refactored code, with good unit test coverage in an agile environment, and yet, their apps fail miserably.
This talk will inspire developers to implement valid and reliable ways to answer their most burning questions. It'll help them validate or invalidate their assumptions on their own—cheaply, and quickly, by using simple user research techniques with a main goal in mind: developing apps people need, want, and enjoy.

3c0b492a599715b69b5ed1363a9c2c4f?s=128

Tomer Sharon

November 19, 2014
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Transcript

  1. ׬ඒ执ߦண错误计䎞 +Tomer Sharon leanresearch.co

  2. Photo

  3. Model and a Google Search software engineer:

  4. Model and a Google Search

  5. Photo by Stephen Dobeck

  6. Logo design by Guy Carmeli

  7. Җ㜪࿨达ᇠ 错了 Photo by Stephen Dobeck

  8. Photo credit: Getty Images

  9. Photo credit: Getty Images

  10. Photo credit: Getty Images

  11. Photo credit: Getty Images

  12. +Tomer Sharon Sr. UX Researcher and Author @tsharon Google.com/+TomerSharon Facebook.com/tsharon1

    leanresearch.co
  13. 6 େ问题 Photo credit: Getty Images

  14. 1. 问题 Photo

  15. ଈ࢖ײ䫤झɼਓ们ձ给զ们邮݅஍ᅿ吗ʁ

  16. 2. ဓ๎༑ಹཬֶ习 (LEARNED FROM FRIENDS) Photo

  17. 3. 倾听⽤用户的声⾳音 (LISTENED TO USERS) Models and Google Search software

    engineers: Angela Chang, Andrei Matei, & Ivo Popov
  18. ෆཁჶဓ༻户 Photo credit: Getty Images

  19. 观察⾏行为 Photo credit: Getty Images

  20. Models and Google Search software engineers: Angela Chang, Andrei Matei,

    & Ivo Popov
  21. ෆળဋ预测ະདྷ Photo credit: Getty Images

  22. ଈ࢖༗صձ၏ฐ… Photo credit: Getty Images

  23. զ们ॴݴɼզ们ॴߦ Photo credit: Getty Images

  24. “请问你会⽤用我们的App吗?” Models and Google Search software engineers: Angela Chang, Andrei

    Matei, & Ivo Popov
  25. 4. ෆཁ测试࠷ة险త၊设 Photo credit: Getty Images

  26. ஐೳखص༻户ਗ਼ુҙ识౸ଞ们త Ꮘ཰௿Լత㩘记习惯 Smartphone owners are aware of their ineffective note-taking

    habits. ड测၊设 note.io’s riskiest assumption
  27. 5. Bob޻ঊ৺态 Photo

  28. 6. ׬ඒ执ߦண错误计䎞 Photo

  29. 问题 ࢢ场 产品 Credit: Laura Klein,

  30. ଞ们ॄ㜮ํ໘၏ಘ޷ʁ Photo

  31. Interviews with 150 app developers (Sharon, 2015 - expected) 谁是我的客户?

    ਓ们धཁզత产඼吗ʁ 这个产品可⽤用吗? 这个产品⽐比竞品好吗? 这个产品在变好吗? 70% 77.5% 85% 92.5% 100% 84% 86% 89% 95% 97% 应⽤用开发者对⽤用户的问题
  32. ཧղ优ઌ级 Photo

  33. None
  34. 执⾏行正确的计划 Photo by Stephen Dobeck

  35. හডࣜ༻户ݚڀ Photo by Stephen Dobeck

  36. ༻户ݚڀೳ 䭧ಎ࡯产඼ ༻户త视֯ ࿨ೳྗɼኂ ׌ࡏਖ਼䉯త 时صఄ现给 Photo credit: Getty Images

  37. շ଎ ߴ质ྔ ༗Ө㠳ྗ

  38. 观察 经验采样 ၊㛭 Photo credit: Getty Images

  39. 经验采样 Photo credit: Getty Images

  40. Photo credit: Getty Images

  41. ॥环ԟ䐾 Photo credit: Getty Images

  42. None
  43. ࿽኷޷త问题 Photo credit: Getty Images

  44. (NEEDS) धཁ (FEATURES) ಛ (PAINS) ௧ۤ (DELIGHTS) ༇ӻ Photo credit:

    Getty Images
  45. 观察 经验采样 ၊㛭 Photo credit: Getty Images

  46. 观察 Photo credit: Getty Images

  47. Photo credit: Getty Images

  48. 观察 倾听 ମ࡯ Ꮕू Photo credit: Getty Images

  49. 倾⼼心倾⼒力地注意 Photo credit: Getty Images

  50. ೔ৗ ׯ扰 烦恼 ༇ӻ 过渡 Photo credit: Getty Images

  51. 90ඵతಎ࡯ྗ ՄҎলԼˇˇˇ ඼质 ၰಐ݈߁

  52. ಛ੐ (FEATURES) ၊设 (ASSUMPTIONS) 问题 (PROBLEMS) ྲྀఔ (WORKFLOWS) ໨标 (GOALS)

    Photo credit: Getty Images
  53. 观察 经验采样 ၊㛭 Photo credit: Getty Images

  54. ၊㛭 Photo credit: Getty Images

  55. None
  56. Photo credit: Getty Images

  57. None
  58. Photo credit: Getty Images

  59. 观察 经验采样 ၊㛭 Photo credit: Getty Images

  60. ༻户ݚڀೳ 䭧ಎ࡯产඼ ༻户త视֯ ࿨ೳྗɼኂ ׌ࡏਖ਼䉯త Photo credit: Getty Images

  61. രᖵ ௚ঋصࡏ电ӨதҰൠ၏ॄ㜮ʁ With permission from truthfacts.com

  62. Photo credit: Getty Images

  63. +Tomer Sharon @tsharon leanresearch.co Thank you to Stephen Dobeck, Roman

    Nurik, Frank Romano, Jac de Haan, Guy Carmeli, Angela Chang, Andrei Matei, George Zhang, & Ivo Popov
  64. Photo credit: Getty Images 㟬ෆೳࡏ错误త App্࿘费时间

  65. Photo credit: Getty Images ׬ඒ执 ߦਖ਼䉯 త计䎞