Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
始めて失敗して諦めてしまう前に立ち止まって考えてみてほしいこと #GWD_Nulab
Search
TAKAKING22
August 25, 2017
Technology
7
15k
始めて失敗して諦めてしまう前に立ち止まって考えてみてほしいこと #GWD_Nulab
2017年8月25日(金)のGeeks Who Drink in Tokyo-Agile Team Edition-にて。
TAKAKING22
August 25, 2017
Tweet
Share
More Decks by TAKAKING22
See All by TAKAKING22
モブプログラミング再入門 ー 基本から見直す、AI時代のチーム開発の選択肢 ー / A Re-introduction of Mob Programming
takaking22
5
1.6k
AI時代のアジャイルチームを目指して ー スクラムというコンフォートゾーンからの脱却 ー / Toward Agile Teams in the Age of AI
takaking22
11
9.4k
AI時代だからこそ考える、僕らが本当につくりたいスクラムチーム / A Scrum Team we really want to create in this AI era
takaking22
11
7.4k
スクラムガイドに載っていないスクラムのはじめかた - チームでスクラムをはじめるときに知っておきたい勘所を集めてみました! - / How to start Scrum that is not written in the Scrum Guide 2nd
takaking22
7
2.1k
スクラムというコンフォートゾーンから抜け出そう!プロジェクト全体に目を向けるインセプションデッキ / Inception Deck for seeing the whole project
takaking22
6
2.9k
受託開発でもアジャイル開発できました / Agile in Contract Development
takaking22
19
8.9k
AI時代のアジャイル開発(XP祭り2024版) / Agile Development in the AI Era in XPJUG
takaking22
16
5.7k
我々はなぜテストを書くのか / Why we write test codes
takaking22
7
1.3k
AI時代のアジャイル開発 / Agile Development in the AI Era
takaking22
2
2.3k
Other Decks in Technology
See All in Technology
2026年もソフトウェアサプライチェーンのリスクに立ち向かうために / Product Security Square #3
flatt_security
1
660
進化するBits AI SREと私と組織
nulabinc
PRO
1
250
生成AIで速度と品質を両立する、QAエンジニア・開発者連携のAI協調型テストプロセス
shota_kusaba
0
200
プラットフォームエンジニアリングはAI時代の開発者をどう救うのか
jacopen
7
3.9k
PMとしての意思決定とAI活用状況について
lycorptech_jp
PRO
0
140
頼れる Agentic AI を支える Datadog のオブザーバビリティ / Powering Reliable Agentic AI with Datadog Observability
aoto
PRO
0
210
Kiro Powers 入門
k_adachi_01
0
120
僕、S3 シンプルって名前だけど全然シンプルじゃありません よろしくお願いします
yama3133
1
230
VPCエンドポイント意外とお金かかるなぁ。せや、共有したろ!
tommy0124
1
700
社内レビューは機能しているのか
matsuba
0
150
OSC仙台プレ勉強会 AlmaLinuxとは
koedoyoshida
0
190
「通るまでRe-run」から卒業!落ちないテストを書く勘所
asumikam
1
150
Featured
See All Featured
It's Worth the Effort
3n
188
29k
Designing Powerful Visuals for Engaging Learning
tmiket
0
290
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
47
8k
Have SEOs Ruined the Internet? - User Awareness of SEO in 2025
akashhashmi
0
290
The Myth of the Modular Monolith - Day 2 Keynote - Rails World 2024
eileencodes
26
3.4k
The Language of Interfaces
destraynor
162
26k
16th Malabo Montpellier Forum Presentation
akademiya2063
PRO
0
74
Future Trends and Review - Lecture 12 - Web Technologies (1019888BNR)
signer
PRO
0
3.3k
Color Theory Basics | Prateek | Gurzu
gurzu
0
260
For a Future-Friendly Web
brad_frost
183
10k
Primal Persuasion: How to Engage the Brain for Learning That Lasts
tmiket
0
290
Visualization
eitanlees
150
17k
Transcript
!5",",*/( ࢝Ίࣦͯഊͯ͠ఘΊͯ͠·͏લʹ ཱͪࢭ·ͬͯߟ͑ͯΈͯ΄͍͜͠ͱ 2017/08/25 Geeks Who Drink in Tokyo-Agile Team
Edition- Takao Oyobe (@TAKAKING22) Rakuten, Inc.
!5",",*/( !5",",*/( ٴ෦ܟ༤ ָఱגࣜձࣾϚοεϧΤϯδχΞ Ұൠࣾஂ๏ਓΞδϟΠϧνʔϜΛࢧ͑ΔձΛࢧ͑Δձ ΞδϟΠϧϞϯελʔ ਪ͠ϝϯɿࢁຊ࠼
!5",",*/( Ϟϒϓϩͷਓ IUUQTTQFBLFSEFDLDPNUBLBLJOHNPCVQVSPHVSBNJOHVUPJVEPOHLJGBOHOVNCFSEFWMPWF
!5",",*/( !ָఱΫϦϜκϯϋε IUUQTUFDISBLVUFODPKQ ϞϒϓϩͰ༗໊ͳ )VOUFS*OEVTUSJFT ͷΫϦεདྷΔΑ
!5",",*/( ͳʹ͔Λ࢝ΊΑ͏ͱ͢Δ࣌ ΞδϟΠϧ։ൃͰ ϞϒϓϩάϥϛϯάͰ ͳΜͰ͍͍Ͱ͢
!5",",*/( ΊΜͲ্͍࢘͘͞Λઆಘ͠ͳ͚ΕͳΒͳ͍ 1IPUPCZϑϦʔࣸਅૉࡐͺͨͦ͘ IUUQTXXXQBLVUBTPDPN
!5",",*/( 1IPUPCZϑϦʔࣸਅૉࡐͺͨͦ͘ IUUQTXXXQBLVUBTPDPN Δؾ͕ͳ͍ϝϯόʔ͕͍Δ
!5",",*/( 1IPUPCZϑϦʔࣸਅૉࡐͺͨͦ͘ IUUQTXXXQBLVUBTPDPN ͏·͘Ͱ͖Δ͔ෆ҆
!5",",*/( ͍Ζ͍Ζͳো͕͋Γ·͢ΑͶ 1IPUPCZFEXBSETUPKBLPWJD IUUQTHPPHMUNQR7I
!5",",*/( ͍࢝͟ΊͯΈͨͱͯ͠
!5",",*/( ͏·͍͔͘ͳ͔ͬͨ 1IPUPCZϑϦʔࣸਅૉࡐͺͨͦ͘ IUUQTXXXQBLVUBTPDPN
!5",",*/( Γ্͕Βͳ͔ͬͨ 1IPUPCZϑϦʔࣸਅૉࡐͺͨͦ͘ IUUQTXXXQBLVUBTPDPN
!5",",*/( ͬͺΓ͍Ζ͍Ζͳো͕͋Γ·͢ 1IPUPCZFEXBSETUPKBLPWJD IUUQTHPPHMUNQR7I
!5",",*/( ͪͳΈʹࢲͨ͘͞Μࣦഊͯ͠·͢ ํͳ͘ΧϯόϯΛఫڈ͢Δਤ
!5",",*/( ࢝ΊΔ͜ͱ͕Ͱ͖ͳ͍࣌ɺ ࢝Ίͯ͏·͍͔͘ͳ͍࣌ɺ ఘΊͯ͠·͏લʹߟ͑ͯΈͯ΄͍͜͠ͱ ࠓͷ͓
!5",",*/( ਓ͏·͍͔͘ͳ͍࣌ɺ Θ͔Γ͍͢ཧ༝Λ͚ͭͯೲಘͨ͘͠ͳΔ ڥ ϝϯόʔ ࣗͷεΩϧ
!5",",*/( ਓ͏·͍͔͘ͳ͍࣌ɺ Θ͔Γ͍͢ཧ༝Λ͚ͭͯೲಘͨ͘͠ͳΔ ڥ ϝϯόʔ ࣗͷεΩϧ ࣦഊʹ͖߹͍ͬͯͳ͍ ͭ·ΓɺֶͿνϟϯεΛҳ͍ͯ͠Δ
!5",",*/( ͦͦɺ͏·͍͔͘ͳ͍͜ͱ ࣦഊͳͷͩΖ͏͔
!5",",*/( ͏·͍͔͘ͳ͔͔ͬͨΒࣦഊͩ ͏·͍͔͘ͳ͔ͬͨͱ͍͏ֶͼΛಘͨ ʮࣦഊʯͰऴΘΒͣʹʮֶͼʯʹঢ՚͢Δ
!5",",*/( ιϑτΣΞ։ൃ্ͷͷଟ͘ɺ ٕज़తͱ͍͏ΑΓࣾձֶతͳͷͰ͋Δ τϜɾσϚϧίςΟϞγʔɾϦελʔʢϐʔϓϧΣΞʣ
!5",",*/( γεςϜࢥߟͰߟ͑Α͏ IUUQTXXXTMJEFTIBSFOFUTFDSFU.D,&4RXM%E[ZW ✓ ͳͥͳͥճ ✓ ҼՌؔਤ ✓ "55ΞϯϏγϟεɾλʔήοτπϦʔ
!5",",*/( ͏·͍ͬͯ͘ΔνʔϜͬͯͲΜͳͩΖ͏ʁ ͱ͜ΖͰʜ
!5",",*/( ࣦഊ͕͏·͍ ͏·͍ͬͯ͘ΔνʔϜʹڞ௨͢Δ͜ͱ
!5",",*/( ࣦഊΛখͨ͘͘͞͞Μ܁Γฦֶͯ͠Ϳ 1IPUPCZϑϦʔࣸਅૉࡐͺͨͦ͘ IUUQTXXXQBLVUBTPDPN
!5",",*/( ୭͔Ұਓ͕ؤு͍ͬͯͳ͍ ͏·͍ͬͯ͘ΔνʔϜʹڞ௨͢Δ͜ͱ
!5",",*/( ੜֶత৫ 1IPUPCZ$FMTP'-03&4 IUUQTHPPHMGU9&$R ੜʹ͓͚Δࡉ๔ɺ໋͕ྩΛग़ͣ͞ͱҰମײΛ࣋ͬͯ׆ಈ͢Δɻ ಉ༷ʹɺ୭໋͔͕ྩΛग़͞ͳͯ͘ϝϯόʔಉ͕࢜ߟ͑ͯߦಈ͠ɺ શମͱͯ͠ҰମײΛ࣋ͬͨ׆ಈ͕Ͱ͖Δ৫ͷ͜ͱΛੜֶత৫ͱ͍͏ɻ
!5",",*/( ͏·͍ͬͯ͘ΔνʔϜ ࠷ॳ͔Βͦ͏ͩͬͨΘ͚Ͱͳ͍ ҙ
!5",",*/( νʔϜʹͳ͍ͬͯΔͷͩΖ͏͔ ͦͦʜ
!5",",*/( ूஂ ✓ ूஂʹਓͷू߹ ✓ ΞαΠϯ͞Εͯ͜ͳ͢ ✓ ड͚ͳ࢟ νʔϜ
✓ νʔϜʹ ✓ νʔϜʹߩݙ͢Δ ✓ ೳಈతͳ࢟ lू·ͬͯ͘Δz lूΊΒΕΔz
!5",",*/( ूஂ ✓ ूஂʹਓͷू߹ ✓ ΞαΠϯ͞Εͯ͜ͳ͢ ✓ ड͚ͳ࢟ νʔϜ
✓ νʔϜʹ ✓ νʔϜʹߩݙ͢Δ ✓ ೳಈతͳ࢟ lू·ͬͯ͘Δz lूΊΒΕΔz Ͳ͕͍͍ͬͪɾѱ͍Ͱͳ͍ ͰٻΊ͍ͯΔͷڪΒ͘νʔϜ
!5",",*/( νʔϜʹͳ͍ͬͯͳ͍ͱ͜ΖͰ Կ͔Λ࢝Ί͍͍ͯͩͨ͏·͍͔͘ͳ͍
!5",",*/( ୭͕νʔϜʹ͢ΔͷͩΖ͏͔ Ͱ͍͍ͬͨʜ
!5",",*/( 1IPUPCZϑϦʔࣸਅૉࡐͺͨͦ͘ IUUQTXXXQBLVUBTPDPN ্࢘ΞαΠϯ͢Δ͕ νʔϜΛͭͬͯ͘͘Ε͠ͳ͍
!5",",*/( νʔϜΛνʔϜʹ͢ΔͷνʔϜࣗ 1IPUPCZϑϦʔࣸਅૉࡐͺͨͦ͘ IUUQTXXXQBLVUBTPDPN
!5",",*/( νʔϜͱ৺ཧత҆શੑͷؔ ৺ཧతʹ҆શ͔ͩΒ ਓ͕ू·ͬͯ͘Δ
!5",",*/( ݴ͑ΔԽ ৺ཧత҆શੑͳνʔϜͰ͋ΔͨΊʹlݴ͑ΔԽzඞཁͳཁૉɻ ʹҙݟΛݴ͑Δڥɾɾ҆৺ײ͕ଘࡏ͍ͯ͠Δ͔ɻ ͏·͍͔͘ͳ͔ͬͨ͜ͱͳͲɺ͍͍ʹ͍͘͜ͱʹ͠߹͑Δ͔ɻ
!5",",*/( ݴ͑ΔԽͷͨΊͷΛͭ͘Δ 'SPN৺ཧత҆શੑʹ͍ͭͯຊؾग़ͯ͠ߟ͑ͯΈͨΒීஈͬͯΔνʔϛϯάͷͩͬͨ
!5",",*/( ࠷ॳʹ͖͔͚ͬΛͭ͘Δඞཁ ୭͔͕ؤுͬͯΔ͚ͩͰ͍͚ͳ͍͕ʜ
!5",",*/( ϑΥϩϫʔΛ૿͍ͯ͘͠ IUUQTXXXUFEDPNUBMLTEFSFL@TJWFST@IPX@UP@TUBSU@B@NPWFNFOU
!5",",*/( ͖͔͚ͬ͋͘·Ͱ͖͔͚ͬ 1IPUPCZϑϦʔࣸਅૉࡐͺͨͦ͘ IUUQTXXXQBLVUBTPDPN νʔϜͰൃݟΛͯ͠ɺ νʔϜͰߟ͑ͯɺ νʔϜͰ࣮ߦͯ͠ɺ νʔϜͰֶͿ ͦ͏ͳΔͨΊͷ͖͔͚ͬ
!5",",*/( ·ͱΊ
!5",",*/( ✓ ʮࣦഊʯͰऴΘΒͣʹʮֶͼʯʹঢ՚͢Δ ✓ ΄ͱΜͲͷίϛϡχέʔγϣϯʹىҼ͢Δ ✓ ͦͦνʔϜʹͳΕ͍ͯΔͷ͔ ·ͱΊ
!5",",*/( ͳʹ͔Λ࢝ΊͯΈ͚ͨͲ͏·͍͔͘ͳ͔ͬͨ ͜Μͳͷ;ͭ͏ͷ͜ͱ 1IPUPCZϑϦʔࣸਅૉࡐͺͨͦ͘ IUUQTXXXQBLVUBTPDPN
!5",",*/( ຊͷࣦഊֶͿલʹ͖͋ΒΊͯ͠·͏͜ͱ 1IPUPCZ%FF"TIMFZ IUUQTHPPHMXO(HBB
!5",",*/( ࣦഊ͔ͯ͠Β͕ຊͷελʔτͰ͋Δ
!5",",*/( ޭࣦഊֶͼ νʔϜͷ্ʹੵΈॏͳ͍ͬͯ͘ͷ
!5",",*/( 1IPUPCZϑϦʔࣸਅૉࡐͺͨͦ͘ IUUQTXXXQBLVUBTPDPN ·ͣνʔϜʹ͢Δ
!5",",*/( ͏·͍͔͘ͳ͍͜ͱͱͱ͜ͱΜ͖߹͏
!5",",*/( νʔϜͱͱ͜ͱΜ͖߹͏
!5",",*/( ͦͷ֮ޛ͕ͳ͍ͷͰ͋Ε Կ࢝Ίͳ͍΄͏͕Ϛγ
!5",",*/( ͍͍ͨͯͷے͕ղܾͯ͘͠ΕΔ IUUQCPPLTSBLVUFODPKQSLBBECEBBCCFCCF
!5",",*/( ےτϨΛ͍ͯͬͯ͠ΔΈࣄਅͷ IUUQCPPLTSBLVUFODPKQSLBBECEBBCCFCCF
!5",",*/( ࣦഊΛຯํʹ͚ͭΑ͏ !5",",*/(