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
draft for devsummi
Search
gaopin
November 28, 2018
Technology
0
150
draft for devsummi
gaopin
November 28, 2018
Tweet
Share
More Decks by gaopin
See All by gaopin
XCTestを目的別で分けるすすめ
gaopin1534
0
3.5k
The swifter way of A/B testing implementation
gaopin1534
2
1.6k
静的解析の話
gaopin1534
0
180
RxSwiftってどうなってるの?
gaopin1534
1
310
Drag'n'Drop'n'iPhone
gaopin1534
0
130
OBJ-C戦線異常なし@DevLOVE 199
gaopin1534
1
140
Other Decks in Technology
See All in Technology
AWS re:Invent2025最新動向まとめ(NRIグループre:Cap 2025)
gamogamo
0
150
「エッジ×分散生成AI」の技術と変わる産業、そしてITの未来
piacerex
0
110
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
8
2k
Qiita Bash アドカレ LT #1
okaru
0
150
[Data & AI Summit '25 Fall] AIでデータ活用を進化させる!Google Cloudで作るデータ活用の未来
kirimaru
0
4.2k
2025年 山梨の技術コミュニティを振り返る
yuukis
0
140
Digitization部 紹介資料
sansan33
PRO
1
6.4k
国井さんにPurview の話を聞く会
sophiakunii
1
280
戰略轉變:從建構 AI 代理人到發展可擴展的技能生態系統
appleboy
0
180
Data Hubグループ 紹介資料
sansan33
PRO
0
2.5k
純粋なイミュータブルモデルを設計してからイベントソーシングと組み合わせるDeciderの実践方法の紹介 /Introducing Decider Pattern with Event Sourcing
tomohisa
1
130
LayerX QA Night#1
koyaman2
0
300
Featured
See All Featured
Jess Joyce - The Pitfalls of Following Frameworks
techseoconnect
PRO
1
40
How to optimise 3,500 product descriptions for ecommerce in one day using ChatGPT
katarinadahlin
PRO
0
3.4k
Building a A Zero-Code AI SEO Workflow
portentint
PRO
0
220
Are puppies a ranking factor?
jonoalderson
0
2.6k
Avoiding the “Bad Training, Faster” Trap in the Age of AI
tmiket
0
43
AI Search: Where Are We & What Can We Do About It?
aleyda
0
6.8k
What the history of the web can teach us about the future of AI
inesmontani
PRO
0
390
Exploring anti-patterns in Rails
aemeredith
2
220
What does AI have to do with Human Rights?
axbom
PRO
0
1.9k
The Pragmatic Product Professional
lauravandoore
37
7.1k
How Software Deployment tools have changed in the past 20 years
geshan
0
31k
Highjacked: Video Game Concept Design
rkendrick25
PRO
0
260
Transcript
How To Work With Members Working Abroad(draft) Kouhei Takamatsu
Agenda • എܠ • Կ͕େมʁʁʁ • Ͳ͏ղܾͨ͠ͷ͔ • ·ͱΊ
For • ࣌ࠩʹۤ͠ΉνʔϜͰಇ͍ͯΔਓ • ີͳίϛϡχέʔγϣϯ͕औΕͳ͍ڥͰಇ ͍͍ͯΔਓ • ίϛϡχέʔγϣϯͷͰखΓ͕ଟ͘ൃ ੜͯ͠Δਓ
tl;dr ಉظΛऔΒͳͯ͋͘Δఔ அͰ͖ΔஅثΛ࡞Ζ͏
എܠ
ϕϧϦϯʹ͋Δࢠձࣾͷ MVPΛ࡞Δ͜ͱʹͳͬͨ
۩ମతʹ • ॾʑࠐΈ2ϲ݄ • ϕϧϦϯ(༷࠷ऴܾఆ)ͱि2ճ1࣌ؒͣ ͭͷϛʔςΟϯάͷΈ • ৯ࣄϨϏϡʔαΠτͷߏங
۩ମతʹ • ॾʑࠐΈ2ϲ݄ • ϕϧϦϯ(༷࠷ऴܾఆ)ͱि2ճ1࣌ؒͣ ͭͷϛʔςΟϯάͷΈ • ৯ࣄϨϏϡʔαΠτͷߏங
۩ମతʹ • ॾʑࠐΈ2ϲ݄ • ϕϧϦϯ(༷࠷ऴܾఆ)ͱि2ճ1࣌ؒͣ ͭͷϛʔςΟϯάͷΈ • ৯ࣄϨϏϡʔαΠτͷߏங ͭΒ͍
Կ͕ਏ͍ʁ ࡞ۀ TOKIO Berlin Meeting Meeting ࡞ۀ Meeting ͜Μͳײ͡ ͜Μͳײ͡
͜Μͳײ͡
Կ͕ਏ͍ʁ ࡞ۀ TOKIO Berlin Meeting Meeting ࡞ۀ Meeting ͜Μͳײ͡ ͜Μͳײ͡
͜Μͳײ͡ ͜͜Ͳ͏͢ ΔΜʁ
Կ͕ਏ͍ʁ ࡞ۀ TOKIO Berlin Meeting Meeting ࡞ۀ Meeting ͜Μͳײ͡ ͜Μͳײ͡
͜Μͳײ͡ ͜͜Ͳ͏͢ ΔΜʁ ԿΒ͔ͷҙࢥܾఆൃੜ࣌
Կ͕ਏ͍ʁ ࡞ۀ TOKIO Berlin Meeting Meeting ࡞ۀ Meeting ͜Μͳײ͡ ͜Μͳײ͡
͜Μͳײ͡ ͜͜Ͳ͏͢ ΔΜʁ ಉظλΠϛϯά·Ͱࢭ·Δ stop…..
OR
Կ͕ਏ͍ʁ ࡞ۀ TOKIO Berlin Meeting Meeting Γ͠࡞ۀ Meeting ͜Μͳײ͡ ͦΕҧ͏Α
͜Μͳײ͡ ͜͜Ͳ͏͢ ΔΜʁ େʹखΔ ࡞ۀ ͜Μͳײ͡ Ζ
νϟοτͰฉ͍ͯ ಉظͪ0ʹͳΒͳ͍
͕࣌ࠩ͋Δ߹ͷΈͰͳ͘ ඇಉظ࡞ۀ͕࣌ؒ͋Δ߹ ීวͷ
How To Avoid This?
ಉظ͕ඞཁͳ͍͘Β͍ ༷ΛܾΊࠐΉ
ಉظ͕ඞཁͳ͍͘Β͍ ༷ΛܾΊࠐΉ μϝ
ҰिؒυΠπʹߦͬͯେ·͔ ʹܾΊͨͷΈ
ࡉ͔͍༷ FIXͯ͠ͳ͍ ચ͍ग़ͤͯͳ͍
ಉظඞཁ
Possible Approach 1
࡞ۀ TOKIO Berlin Meeting Meeting ࡞ۀ Meeting ͜Μͳײ͡ ͜Μͳײ͡ ͜Μͳײ͡
͜͜Ͳ͏͢ ΔΜʁ STOPΛڐ༰ stop…..
Pros • खΓͷൃੜ0 • ༷ʹඞ࣮ͣͳ࣮ʹͳΔ
Cons • ࡞ۀͷఀ • ࡞ۀͷ༧ଌੑͷԼ
Possible Approach 2
࡞ۀ TOKIO Berlin Meeting Meeting Γ͠࡞ۀ Meeting ͜Μͳײ͡ ͦΕҧ͏Α ͜Μͳײ͡
͜͜Ͳ͏͢ ΔΜʁ खΓΛڐ༰ ࡞ۀ ͜Μͳײ͡ Ζ
Pros • ༷͕Ұகͨ͠߹࡞ۀʹΕ͕ग़ͳ͍ • ަবʹΑ༷ͬͯΛ͢Γ߹ΘͤΔ༨͕͋Δ
Cons • खΓͷऔΓ͠ʹΑΔSTOPڐ༰Ҏ্ͷ࡞ۀ ޮͷԼ • όοΫϩά͔Βফ͑ͳ͍࡞ۀ܈͕ੜ·ΕΔ
গͳ͘ͱ࡞ۀ͕ࢭ·Δ͜ͱ ͳ͘ͳΔ ೝࣝᴥᴪʹΑΔखΓΛগͳ ͍͚ͯͩ͘͘͠
Pros • ༷͕Ұகͨ͠߹࡞ۀʹΕ͕ग़ͳ͍ • ަবʹΑ༷ͬͯΛ͢Γ߹ΘͤΔ༨͕͋Δ
ҙࢥܾఆऀͷఆ͢Δ݁Ռͱ ͷဃ͕গͳ͚Ε खΓແ͘or গͳ͘͢Δࣄ͕ Ͱ͖Δ
அͷͨΊͷج४ͷ࡞ (அث)
ෳͷ࣮͕ߟ͑ΒΕΔ߹ ޮ༻ʹґΒ࣮ͣίετ͕͍ํΛऔΔ ~ʹؔͯ͠ػೳ࣮ߦ͏͕ɺੑೳཁ݅ ઃఆ͠ͳ͍ ػೳʹؔ͠ͳ͍ͱ͜Ζͷ࣮ʹ͍ͭͯ ɺ։ൃνʔϜͷಠஅͰܾఆͯ͠ྑ͍ ~ؔ࿈ͷཁ݅ʹ͍ͭͯ։ൃνʔϜ͕ࡉ͔ ͍༷ܾఆΛͯ͠ྑ͍ͷͱ͢Δ
அثʹ͍ͭͯͷΈ߹ҙͯ͠ ͓͘
அثʹ͍ͭͯ߹ҙ͓ͯ͘͠ͱ • ಉظ࣌ʹجຊʮஅثʹଇܾͬͨఆͰ͋Δʯ ͜ͱͷઆ໌͚ͩ͢ΕΑ͍ • ൃੜͨ͠ͱܾͯ͠ఆʹର͢Δ૬ஊɺ߹ʹ ΑͬͯඍখͳखΓ͕ൃੜ͢ΔͷΈͰ͋Δ
݁Ռ • 2ϲ݄ͰࢼݧؚΊશྃ • ظؒதେ͖ͳखΓແ͠(খ͍͞ͷ͋Γ)
݁ہͷॴ
ؔऀؒͰೝࣝΛ߹ΘͤΔ͜ ͱͰ͔͠ͳ͍
ͦͷϑϨʔϜϫʔΫͱͯ͠ͷ அث ಉظճΛ͘͢ΔޮՌ͋ Δ