スクラムのスケールとチームトポロジー / Scaled Scrum and Team Topologies

"ちいとぽ with Scrum - Techmee vol.1"の発表資料
https://timeedev.connpass.com/event/249303/

Transcript

1. 
   ͍ͪͱΆ
   XJUI
   4DSVN
   
   5FDINFF
   WPM $IBUXPSLגࣜձࣾ
   പ୩
   େี
   EBJLTZ εΫϥϜͷεέʔϧ
   ͱνʔϜτϙϩδʔ
2. പ୩
   େี !EBJLTZ
   
   ͍ͩ͘͠ʔ
   $IBUXPSLגࣜձࣾ
   ΤϯδχΞϦϯάϚωʔδϟʔ ΤϯδχΞ૊৫։ൃࢧԉ
   ΞδϟΠϧίʔν
   νʔϜϑΝγϦςʔγϣϯ
   4DSVN!4DBMF
3. പ୩
   େี !EBJLTZ
   
   ͍ͩ͘͠ʔ
   $IBUXPSLגࣜձࣾ
   ΤϯδχΞϦϯάϚωʔδϟʔ ΤϯδχΞ૊৫։ൃࢧԉ
   ΞδϟΠϧίʔν
   νʔϜϑΝγϦςʔγϣϯ
   4DSVN!4DBMF 4/4Ͱ͸͜ΜͳΞΠίϯΛ
   Α͘࢖͍ͬͯ·͢
4. νʔϜτϙϩδʔ  ͭͷνʔϜλΠϓ
    ͭͷΠϯλϥΫγϣϯϞʔυ
    ద੾ͳνʔϜڥք
    ίϯ΢ΣΠͷ๏ଇ
    અཧ໘
    ೝ஌ෛՙ
    FUDʜ
5. νʔϜτϙϩδʔ  ͭͷνʔϜλΠϓ
    ͭͷΠϯλϥΫγϣϯϞʔυ
    ద੾ͳνʔϜڥք
    ίϯ΢ΣΠͷ๏ଇ
    અཧ໘
    ೝ஌ෛՙ
    FUDʜ
   ࣮ࡍʹ͜ΕΛͲ͏ݱ৔ͷνʔϜʹ౰ͯ͸ΊΔʁ
6. QRC Team Topologies Based on Team Topologies, QRC by Henny Portman, May 2020 Stream-Aligned Team Enabling Team Platform team Stream-Aligned Team Complicated- Subsystem Team Interaction mode: X-as-a-Service Interaction mode: X-as-a-Service Interaction mode: Facilitating Interaction mode: Collaborating Primary interaction modes for the 4 fundamental team topologies: Collaboration: working closely together with another team X-as-a Service: consuming or providing something with minimal collaboration Facilitating: helping (or being helped by) another team to clear impediments Evolution of team topologies Discover Establish Use Stream-Aligned Team: a team aligned to the main flow of business change, with cross-functional skills mix and the ability to deliver significant increments without waiting on another team. Platform team: a team that works on the underlying platform supporting stream-aligned teams in delivery. The platform simplifies otherwise complex technology and reduces cognitive load for teams that use it. Enabling team: a team that assists other teams in adopting and modifying software as part of a transition or learning period. Complicated-Subsystem Team: a team with a special remit for a subsystem that is too complicated to be dealt with by a normal stream-aligned team or platform team. Optional and only used when really necessary. Conway’s law: “Organizations which design systems … are constrained to produce designs which are copies of the communication structures of these organizations.” Cognitive load: “The total amount of mental effort being used in the working memory.” Restrict team responsibilities to match the maximum team cognitive load. • Intrinsic cognitive load – relates to aspects of the task fundamental to the problem space • Extraneous cognitive load – relates to the environment in which the task is being done • Germane cognitive load – relates to aspects of the task that need special attention for learning or high performance Scaling teams: Organizational groupings should follow Dunbar’s number, beginning with around 5- 8 people, then increasing to around 15 people, then 50, then 150, then 500, and so on. Brook’s law: “Adding new people to a team doesn’t immediately increase its capacity.: Live Rapid feedback Team first approach: start with the team for effective software delivery. There are multiple aspects to consider and nurture: team size, team lifespan, team relationships, and team cognition. Organizational sensing: expect to adapt and evolve your organization structure. ίϯ΢ΣΠͷ๏ଇ: “γεςϜΛઃܭ͢Δ૊৫͸… ͦͷ ૊৫ͷίϛϡχέʔγϣϯߏ଄Λίϐʔͨ͠ߏ଄ͷઃ ܭΛੜΈग़͢͜ͱʹͳΔ” νʔϜϑΝʔετͷऔΓ૊Έ: ιϑτ΢ΣΞσϦόϦʔͷ ޮՌΛߴΊΔͨΊͷνʔϜ͔Β࢝ΊΔɻצҊ͢΂͖؍఺͸ ෳ਺͋Δ: νʔϜαΠζɺଘଓظؒɺؔ܎ੑɺೝ஌ෛՙ ૊৫తηϯγϯά(Organizational Sensing): ૊৫ߏ଄ΛదԠɾൃలͤ͞ Δ͜ͱΛ໨࿦Ή νʔϜͷεέʔϧ: ૊৫ߏ଄ͷάϧʔϐϯά͸μϯόʔ਺ʹै ͏ɻ·ͣ͸5-8໊͔Β࢝ΊΔɻ࣍ʹ15໊ఔ౓ɺͦΕ͔Β50 ໊ɺ150໊ɺ500໊ɺͱ͢Δ ϒϧοΫεͷ๏ଇ: “ਓһΛ௥Ճͯ͠΋ɺνʔϜͷΩϟύγςΟ͸ ͙͢ʹ૿Ճ͢ΔΘ͚Ͱ͸ͳ͍” ετϦʔϜΞϥΠϯυνʔϜ: Ϗδ ωεతมߋͷओཁͳʮྲྀΕ(Flow)ʯ ʹ޲͚ͯฤ੒͞ΕΔνʔϜɻ৬ೳ ԣஅεΩϧͷ༥߹ମͰ͋ΔͨΊɺ ଞνʔϜͷ࡞ۀΛ଴ͭ͜ͱͳ͘ҙ ٛͷ͋ΔΠϯΫϦϝϯτΛσϦό ϦʔͰ͖Δೳྗ͕උΘ͍ͬͯΔ ϓϥοτϑΥʔϜνʔϜ: ετϦʔϜΞϥΠϯυ νʔϜͷσϦόϦʔΛαϙʔτ͢Δج൫ͱͳΔϓ ϥοτϑΥʔϜΛ࢓ࣄͷྖҬͱ͢ΔνʔϜɻϓϥο τϑΥʔϜ͸ෳࡶͳٕज़Λγϯϓϧʹ͢Δ͜ͱͰɺ ͦΕΛར༻͢ΔνʔϜͷೝ஌ෛՙΛܰݮ͢Δ ίϯϓϦέΠςΟουɾαϒγεςϜνʔϜ: ෳ ࡶ͗ͯ͢௨ৗͷετϦʔϜΞϥΠϯυνʔϜ΍ϓ ϥοτϑΥʔϜνʔϜͰ͸ରॲͰ͖ͳ͍αϒγε ςϜʹಛԽͯ͠औΓ૊ΉνʔϜɻຊ౰ʹඞཁͳ৔ ߹ɺͦΕ͕࠷ળͰ͋Δ৔߹ʹͷΈฤ੒͞ΕΔ ΠωΠϒϦϯάνʔϜ: Ҡߦ΍ֶशظؒͷҰ؀ͱ ͯ͠ɺଞͷνʔϜ͕ιϑτ΢ΣΞΛ࠾༻͢Δ͜ͱ΍ มߋ͢Δ͜ͱΛΞγετ͢ΔνʔϜ ΠϯλϥΫγϣϯϞʔυ: ΠϯλϥΫγϣϯϞʔυ: ΠϯλϥΫγϣϯϞʔυ: ΠϯλϥΫγϣϯϞʔυ: ຊ൪ ਝ଎ͳ ϑΟʔυόοΫ νʔϜτϙϩδʔͷൃల ൃݟ ཱ֬ ར༻ ೝ஌ෛՙ: “ϫʔΩϯάϝϞϦʹׂΓ౰ͯΒΕΔϝϯλϧ ΤϑΥʔτͷ૯ྔ”ɻνʔϜͷ੹຿͸νʔϜͷೝ஌ෛՙͷ ্ݶ੍͕໿ͱͳΔɻ ɾ಺ࡏੑ(intrinsic)ೝ஌ෛՙ ʔ ໰୊ྖҬͷຊ࣭ʹؔ࿈͢Δ λεΫʹ·ͭΘΔෛՙ ɾ֎ࡏੑ(extraneous)ೝ஌ෛՙ ʔ औΓ૊ΉλεΫͷ؀ڥ ʹ·ͭΘΔෛՙ ɾద੾ͳ(germane)ೝ஌ෛՙ ʔ ֶश΍ϋΠύϑΥʔϚϯ εΛൃش͢ΔͨΊʹऔΓΘ͚஫ҙྗΛཁ͢ΔλεΫʹ·ͭ ΘΔෛՙ جૅͱͳΔνʔϜτϙϩδʔ(4छྨ)ͷؒͷΠϯ λϥΫγϣϯϞʔυ: ίϥϘϨʔγϣϯ: ଞͷνʔϜͱີ઀ʹ࿈ܞ͢ Δ X-as-a Servie: ࠷খݶͷίϥϘϨʔγϣϯͰ ʮԿ͔ʯΛఏڙ/ར༻͢Δ ϑΝγϦςΠςΟϯά: ๦֐෺ΛऔΓআͨ͘Ί ʹଞͷνʔϜΛԉॿ͢Δ(ԉॿ͞ΕΔ) νʔϜ τϙϩδʔ Quick Reference Card Japanese translation by @kakutani, Oct 2021 - v1.0.1 IUUQTTDSBQCPYJPJLJJLJ23$@5FBN@5PQPMPHJFTKB
7. w νʔϜτϙϩδʔ
   w 4DSVN!4DBMF
   w ೃછΈͷਂ͍εΫϥϜͷݱ৔ʹ ͍ͪͱΆΛద༻͢ΔҰྫΛߟ͑ ͯΈΔ ͍ͪͱΆͷద༻ QRC Team Topologies Based on Team Topologies, QRC by Henny Portman, May 2020 Stream-Aligned Team Enabling Team Platform team Stream-Aligned Team Complicated- Subsystem Team Interaction mode: X-as-a-Service Interaction mode: X-as-a-Service Interaction mode: Facilitating Interaction mode: Collaborating Primary interaction modes for the 4 fundamental team topologies: Collaboration: working closely together with another team X-as-a Service: consuming or providing something with minimal collaboration Facilitating: helping (or being helped by) another team to clear impediments Evolution of team topologies Discover Establish Use Stream-Aligned Team: a team aligned to the main flow of business change, with cross-functional skills mix and the ability to deliver significant increments without waiting on another team. Platform team: a team that works on the underlying platform supporting stream-aligned teams in delivery. The platform simplifies otherwise complex technology and reduces cognitive load for teams that use it. Enabling team: a team that assists other teams in adopting and modifying software as part of a transition or learning period. Complicated-Subsystem Team: a team with a special remit for a subsystem that is too complicated to be dealt with by a normal stream-aligned team or platform team. Optional and only used when really necessary. Conway’s law: “Organizations which design systems … are constrained to produce designs which are copies of the communication structures of these organizations.” Cognitive load: “The total amount of mental effort being used in the working memory.” Restrict team responsibilities to match the maximum team cognitive load. • Intrinsic cognitive load – relates to aspects of the task fundamental to the problem space • Extraneous cognitive load – relates to the environment in which the task is being done • Germane cognitive load – relates to aspects of the task that need special attention for learning or high performance Scaling teams: Organizational groupings should follow Dunbar’s number, beginning with around 5- 8 people, then increasing to around 15 people, then 50, then 150, then 500, and so on. Brook’s law: “Adding new people to a team doesn’t immediately increase its capacity.: Live Rapid feedback Team first approach: start with the team for effective software delivery. There are multiple aspects to consider and nurture: team size, team lifespan, team relationships, and team cognition. Organizational sensing: expect to adapt and evolve your organization structure. ίϯ΢ΣΠͷ๏ଇ: “γεςϜΛઃܭ͢Δ૊৫͸… ͦͷ ૊৫ͷίϛϡχέʔγϣϯߏ଄Λίϐʔͨ͠ߏ଄ͷઃ ܭΛੜΈग़͢͜ͱʹͳΔ” νʔϜϑΝʔετͷऔΓ૊Έ: ιϑτ΢ΣΞσϦόϦʔͷ ޮՌΛߴΊΔͨΊͷνʔϜ͔Β࢝ΊΔɻצҊ͢΂͖؍఺͸ ෳ਺͋Δ: νʔϜαΠζɺଘଓظؒɺؔ܎ੑɺೝ஌ෛՙ ૊৫తηϯγϯά(Organizational Sensing): ૊৫ߏ଄ΛదԠɾൃలͤ͞ Δ͜ͱΛ໨࿦Ή νʔϜͷεέʔϧ: ૊৫ߏ଄ͷάϧʔϐϯά͸μϯόʔ਺ʹै ͏ɻ·ͣ͸5-8໊͔Β࢝ΊΔɻ࣍ʹ15໊ఔ౓ɺͦΕ͔Β50 ໊ɺ150໊ɺ500໊ɺͱ͢Δ ϒϧοΫεͷ๏ଇ: “ਓһΛ௥Ճͯ͠΋ɺνʔϜͷΩϟύγςΟ͸ ͙͢ʹ૿Ճ͢ΔΘ͚Ͱ͸ͳ͍” ετϦʔϜΞϥΠϯυνʔϜ: Ϗδ ωεతมߋͷओཁͳʮྲྀΕ(Flow)ʯ ʹ޲͚ͯฤ੒͞ΕΔνʔϜɻ৬ೳ ԣஅεΩϧͷ༥߹ମͰ͋ΔͨΊɺ ଞνʔϜͷ࡞ۀΛ଴ͭ͜ͱͳ͘ҙ ٛͷ͋ΔΠϯΫϦϝϯτΛσϦό ϦʔͰ͖Δೳྗ͕උΘ͍ͬͯΔ ϓϥοτϑΥʔϜνʔϜ: ετϦʔϜΞϥΠϯυ νʔϜͷσϦόϦʔΛαϙʔτ͢Δج൫ͱͳΔϓ ϥοτϑΥʔϜΛ࢓ࣄͷྖҬͱ͢ΔνʔϜɻϓϥο τϑΥʔϜ͸ෳࡶͳٕज़Λγϯϓϧʹ͢Δ͜ͱͰɺ ͦΕΛར༻͢ΔνʔϜͷೝ஌ෛՙΛܰݮ͢Δ ίϯϓϦέΠςΟουɾαϒγεςϜνʔϜ: ෳ ࡶ͗ͯ͢௨ৗͷετϦʔϜΞϥΠϯυνʔϜ΍ϓ ϥοτϑΥʔϜνʔϜͰ͸ରॲͰ͖ͳ͍αϒγε ςϜʹಛԽͯ͠औΓ૊ΉνʔϜɻຊ౰ʹඞཁͳ৔ ߹ɺͦΕ͕࠷ળͰ͋Δ৔߹ʹͷΈฤ੒͞ΕΔ ΠωΠϒϦϯάνʔϜ: Ҡߦ΍ֶशظؒͷҰ؀ͱ ͯ͠ɺଞͷνʔϜ͕ιϑτ΢ΣΞΛ࠾༻͢Δ͜ͱ΍ มߋ͢Δ͜ͱΛΞγετ͢ΔνʔϜ ΠϯλϥΫγϣϯϞʔυ: ΠϯλϥΫγϣϯϞʔυ: ΠϯλϥΫγϣϯϞʔυ: ΠϯλϥΫγϣϯϞʔυ: ຊ൪ ਝ଎ͳ ϑΟʔυόοΫ νʔϜτϙϩδʔͷൃల ൃݟ ཱ֬ ར༻ ೝ஌ෛՙ: “ϫʔΩϯάϝϞϦʹׂΓ౰ͯΒΕΔϝϯλϧ ΤϑΥʔτͷ૯ྔ”ɻνʔϜͷ੹຿͸νʔϜͷೝ஌ෛՙͷ ্ݶ੍͕໿ͱͳΔɻ ɾ಺ࡏੑ(intrinsic)ೝ஌ෛՙ ʔ ໰୊ྖҬͷຊ࣭ʹؔ࿈͢Δ λεΫʹ·ͭΘΔෛՙ ɾ֎ࡏੑ(extraneous)ೝ஌ෛՙ ʔ औΓ૊ΉλεΫͷ؀ڥ ʹ·ͭΘΔෛՙ ɾద੾ͳ(germane)ೝ஌ෛՙ ʔ ֶश΍ϋΠύϑΥʔϚϯ εΛൃش͢ΔͨΊʹऔΓΘ͚஫ҙྗΛཁ͢ΔλεΫʹ·ͭ ΘΔෛՙ جૅͱͳΔνʔϜτϙϩδʔ(4छྨ)ͷؒͷΠϯ λϥΫγϣϯϞʔυ: ίϥϘϨʔγϣϯ: ଞͷνʔϜͱີ઀ʹ࿈ܞ͢ Δ X-as-a Servie: ࠷খݶͷίϥϘϨʔγϣϯͰ ʮԿ͔ʯΛఏڙ/ར༻͢Δ ϑΝγϦςΠςΟϯά: ๦֐෺ΛऔΓআͨ͘Ί ʹଞͷνʔϜΛԉॿ͢Δ(ԉॿ͞ΕΔ) νʔϜ τϙϩδʔ Quick Reference Card Japanese translation by @kakutani, Oct 2021 - v1.0.1
8. 4DSVN!4DBMFͷղઆ
9. 4DSVN!4DBMFͱ͸ʁ w εΫϥϜͷڞಉߟҊऀͷਓͰ͋Δ+F ff
   4VUIFSMBOEത࢜Λத৺ʹཱ֬
   w ෳ਺ͷεΫϥϜνʔϜʹΑΔϑϥΫλϧߏ଄
   w ࣮༻࠷খݶͷ׭྅ػߏ
   w )PXͱ8IBUͦΕͧΕͷऔΓ૊Έ͕ఆٛ͞Ε͍ͯΔʢεΫϥϜϚελʔαΠΫ ϧͱϓϩμΫτΦʔφʔαΠΫϧʣ
   w ݸਓతʹ͸ϓϩμΫτΦʔφʔͷ׆ಈʹ͍ͭͯͷఆ͕ٛ͋Δͷ͕ؾʹೖ͍ͬͯ ·͢
11. εΫϥϜϚελʔαΠΫϧ
12. εΫϥϜϚελʔαΠΫϧ w νʔϜϓϩηε
    w ϝτϦΫεͱಁ໌ੑ
    w ϓϩμΫτϦϦʔεͱϑΟʔυόοΫαΠΫϧ
    w ܧଓతվળͱো֐ͷআڈ
    w νʔϜԣஅͷௐ੔
    w σϦόϦʔ
    w ΤάθΫςΟϒΞΫγϣϯνʔϜ
13. ϓϩμΫτΦʔφʔαΠΫϧ
14. ϓϩμΫτΦʔφʔαΠΫϧ w νʔϜϓϩηε
    w ϝτϦΫεͱಁ໌ੑ
    w ϓϩμΫτϦϦʔεͱϑΟʔυόοΫαΠΫϧ
    w ઓུతϏδϣϯ
    w όοΫϩάͷ༏ઌॱҐ෇͚
    w όοΫϩάͷ෼ׂͱϦϑΝΠϯϝϯτ
    w ϦϦʔεϓϥϯχϯά
    w ΤάθΫςΟϒϝλεΫϥϜ
    
15. ྆αΠΫϧڞ௨
16. ϓϩμΫτΠϯΫϦϝϯτ
17. 4DSVN!4DBMFͷͷίϯϙʔωϯτ
    ຊࢿྉͰ͸͜ͷத͔Βཁ఺Λൈਮͯ͠આ໌͠·͢
    ֤ίϯϙʔωϯτͷৄࡉ͸4DSVN!4DBMFΨΠυΛࢀর͍ͯͩ͘͠͞ɻ
    IUUQTTDSVNJODKQTDSVNBUTDBMFHVJEF
18. εΫϥϜϚελʔαΠΫϧ
19. εΫϥϜϚελʔαΠΫϧ w νʔϜϓϩηε
    w ϝτϦΫεͱಁ໌ੑ
    w ϓϩμΫτϦϦʔεͱϑΟʔυόοΫαΠΫϧ
    w ܧଓతվળͱো֐ͷআڈ
    w νʔϜԣஅͷௐ੔
    w σϦόϦʔ
    w ΤάθΫςΟϒΞΫγϣϯνʔϜ
20. νʔϜϓϩηε
21. νʔϜϓϩηε w εΫϥϜΨΠυͰنఆ͞Ε͍ͯΔεΫϥϜΛߦ͏͜ͱ
    w εΫϥϜϚελʔαΠΫϧͱϓϩμΫτΦʔφʔαΠΫϧͷ࠷ॳͷަࠩ఺
    w νʔϜϓϩηεͷΰʔϧ
    w ׬੒ͷఆٛΛຬͨ͢࡞ۀͷϑϩʔΛ࠷େԽ͢Δ
    w νʔϜͷύϑΥʔϚϯεΛ࣌ؒͷܦաͱͱ΋ʹ޲্ͤ͞Δ
    w ࣋ଓՄೳͰɺνʔϜΛΑΓ๛͔ʹ͢Δํ๏ͰӡӦ͢Δ
    w ސ٬ϑΟʔυόοΫϧʔϓΛՃ଎ͤ͞Δ
22. εΫϥϜνʔϜͷεέʔϧ
23. εΫϥϜνʔϜͷεέʔϧ ϑϥΫλϧ
24. εΫϥϜνʔϜͷεέʔϧ ϑϥΫλϧ 4DSVN
    PG
    4DSVN 
 4P4
25. εΫϥϜνʔϜͷεέʔϧ ϑϥΫλϧ 4DSVN
    PG
    4DSVN
    PG
    4DSVN 
 4P4P4
26. 4DSVN
    PG
    4DSVN
    4P4 w ֤εΫϥϜνʔϜΛ઀ଓ͢ΔόʔνϟϧͳνʔϜ
    w ͭͷ4P4͸dνʔϜ·Ͱ͕࠷దͳ਺
    w ֤νʔϜ͔Βͷ୅දऀ͕ू·ΓɺεΫϥϜΠϕϯτΛ࣮ࢪ͍ͯ͘͠
    w εέʔϧυσΠϦʔεΫϥϜ 4%4
    w εέʔϧυϨτϩεϖΫςΟϒ
    w 4P4ͷεΫϥϜϚελʔ͸εΫϥϜΦϒεΫϥϜϚελʔͱݺͿ
27. 4DSVN
    PG
    4DSVN
    PG
    4DSVN 4P4P4 w ֤4P4νʔϜΛ઀ଓ͢ΔόʔνϟϧͳνʔϜ
    w ͭͷ4P4P4͸d4P4νʔϜ·Ͱ͕࠷దͳ਺
    w ֤νʔϜ͔Βͷ୅දऀ͕ू·ΓɺεΫϥϜΠϕϯτΛ࣮ࢪ͍ͯ͘͠
    w εέʔϧυσΠϦʔεΫϥϜ 4%4
    w εέʔϧυϨτϩεϖΫςΟϒ
28. εΫϥϜνʔϜͷεέʔϧ ϑϥΫλϧ 4P4
    
    4P4P4
    
    4P4P4P4
    ͱ
    ཧ۶ͷ͏͑Ͱ͸ແݶʹεέʔϧͤ͞ΒΕΔʜ
29. &YFDVUJWF
    "DUJPO
    5FBN 
 &"5
30. &YFDVUJWF
    "DUJPO
    5FBN &"5
31. &YFDVUJWF
    "DUJPO
    5FBN &"5 w εΫϥϜϚελʔαΠΫϧʹ͓͚Δ࠷্Ґͷܾఆػؔ
    w εΫϥϜΦϒεΫϥϜͰ͸औΓআ͚ͳ͍ো֐ΛऔΓআͨ͘ΊʹඞཁͳݖݶΛ΋ͬͨ ϝϯόʔ͕ࢀը͢Δඞཁ͕͋Δ
    w $&0
    $50
    ਓࣄͷ੹೚ऀ
    ܾࡋݖऀͳͲ
    w ϝϯόʔͷબఆ৚݅͸ɺʮϓϩμΫτͷ࠷ऴతͳ͢΂ͯΛ&"5ͰղܾͰ͖Δ͜ͱʯ
    w &"5ͷू·ΓͰʮ͋ɻͦΕ͸˓˓͞Μʹฉ͔ͳ͍ͱʯͱͳΕ͹ɺ˓˓͞ΜΜΛ &"5ʹೖΕΔ΂͖
    w ΤάθΫςΟϒͳϝϯόʔΛεΫϥϜͷϑϩʔͷதʹ૊ΈࠐΉ
32. &YFDVUJWF
    "DUJPO
    5FBN &"5 &YFDVUJWF
    "DUJPO
    5FBN 
 &"5 νʔϜن໛ʹΑͬͯ͸
    ͕͜͜&"5ʹͳ͍ͬͯͯ΋ྑ͍
33. εέʔϧԽ͞ΕͨεΫϥϜͷ৘ใͷྲྀΕͷྫ w 
    
    
    ֤νʔϜͷσΠϦʔεΫϥϜ
    w 
    
    
    4P4ͷσΠϦʔεΫϥϜ
    w 
    
    
    &"5ͷσΠϦʔεΫϥϜ ֤νʔϜ͔Βͷ՝୊͕ɺຖ೔෼ͱ͍͏୹͍࣌ؒͰ࠷্Ґͷҙࢥܾఆऀ·Ͱಧ͘
    ͜͜Ͱ&"5͕՝୊ͷղܾΛઌૹΓͯ͠͠·͏ͱɺ&"5͕࢓ࣄͷϑϩʔͷϘτϧωοΫʹͳͬͯ͠· ͏ͷͰɺ&"5ʹ͸՝୊ղܾΛૉૣ͘ߦ͑ΔݖݶΛ΋ͬͨਓ͕͍Δඞཁ͕͋Δɻ
34. ϓϩμΫτΦʔφʔαΠΫϧ
35. ϓϩμΫτΦʔφʔαΠΫϧ w νʔϜϓϩηε
    w ϝτϦΫεͱಁ໌ੑ
    w ϓϩμΫτϦϦʔεͱϑΟʔυόοΫαΠΫϧ
    w ઓུతϏδϣϯ
    w όοΫϩάͷ༏ઌॱҐ෇͚
    w όοΫϩάͷ෼ׂͱϦϑΝΠϯϝϯτ
    w ϦϦʔεϓϥϯχϯά
    w ΤάθΫςΟϒϝλεΫϥϜ
    
36. ϓϩμΫτΦʔφʔͷεέʔϧ
37. ϓϩμΫτΦʔφʔͷεέʔϧ ֤νʔϜʹ10͕͍Δ 
 ͭ·Γ10ಉ࢜ͷ
    ࿈ܞ͕ඞཁʹͳΔ
38. νʔϑϓϩμΫτΦʔφʔ
    $10 w ϓϩμΫτΦʔφʔνʔϜͱҰॹʹ༏ઌॱҐΛௐ੔͢Δ
    w $10͸ɺ͜ͷ໾ׂΛ݉೚͢ΔݸผνʔϜͷϓϩμΫτΦʔφʔͰ͋Δ৔߹΋ ͋Ε͹ɺ͜ͷ໾ׂʹઐ೚ͨ͠ݸਓͷ৔߹΋͋Δ
    w ϓϩμΫτશମͷઓུతϏδϣϯΛઃఆ͢Δ
    w શνʔϜʹ഑෍͞ΕΔɺ༏ઌॱҐ෇͚͞Εͨ୯ҰͷόοΫϩάΛ࡞੒͢Δ
    w ϓϩμΫτΦʔφʔνʔϜ͕ଌఆ͢ΔϝτϦΫεΛܾఆ͢Δ
    w ސ٬͔ΒͷϓϩμΫτͷϑΟʔυόοΫΛධՁ͠ɺͦΕʹԠͯ͡ڞ௨όοΫϩ άΛௐ੔͢Δ
39. &YFDVUJWF
    .FUB4DSVN
    &.4
40. &YFDVUJWF
    .FUB4DSVN
    &.4 w ΞδϟΠϧ૊৫શମʹରͯ͠ϓϩμΫτΦʔφʔͷ໾ׂΛՌͨͨ͢Ίʹɺ$10 ͸ɺ&.4ΠϕϯτͰΤάθΫςΟϒ΍ओཁͳεςʔΫϗϧμʔͱձ߹͢Δɻ
    w ϓϩμΫτΦʔφʔαΠΫϧͷҎԼͷίϯϙʔωϯτͷཁٻΛຬͨͨ͢Ίʹ׆ ಈ͢Δ
    w ઓུతϏδϣϯ
    w όοΫϩάͷ༏ઌॱҐ෇͚
    w όοΫϩάͷ෼ׂͱϦϑΝΠϯϝϯτ
    w ϦϦʔεϓϥϯχϯά
41. &"5ͱ&.4ʹΑΓ
    ʮ࣮༻࠷খݶͷ׭྅ػߏʯ
    Λ࣮ݱ͢Δ
42. ૊৫ͷϦϑΝΫλϦϯά
43. ී௨͸૊৫͸͜Μͳʹ͖Ε͍ ͳϑϥΫλϧʹ͸ͳΒͳ͍
44. ૊৫σβΠϯͷྫ
45. ૊৫σβΠϯͷྫ
46. ૊৫ͷϦϑΝΫλϦϯά w ࣄۀ΍ɺϓϩμΫτͷঢ়گʹԠͯ͡૊৫͸దٓϦϑΝΫλϦϯά͞Ε͍ͨ
    w ਓΛಈ͔͢ͷ͸ίετ͕͔͔Δ
    w ݸਓͷҟಈ
    w νʔϜͷߏ੒ϝϯόʔͷେ෯ͳมߋ
    w ˢ͜ΕΒ͸΍ΓͮΒ͍
47. ૊৫σβΠϯͷྫ ୯Ұͷ
    ʮී௨ͷεΫϥϜνʔϜʯ
    ͕4P4΍.4ʹΑͬͯͭͳ͕ͬ ͍ͯΔ
48. ૊৫ͷϦϑΝΫλϦϯά w 4DSVN!4DBMFͰ͸4P4΍.4ͱ͍ͬͨόʔνϟϧͳνʔϜʹΑ֤ͬͯνʔ Ϝ͕઀ଓ͢Δ
    w ୯ҰͷεΫϥϜνʔϜͷߏ੒ϝϯόʔ͸ಈ͔͞ͳͯ͘ྑ͍
    w 4P4ͳͲͷ૊Έ߹ΘͤΛௐ੔͢Δ͜ͱͰɺ֤νʔϜͷ઀఺Λௐ੔͍ͯ͘͠
    w ʰνʔϜτϙϩδʔʱͳͲΛࢀߟʹ͢Δͱྑ͍ͱࢥ͍·͢
49. QRC Team Topologies Based on Team Topologies, QRC by Henny Portman, May 2020 Stream-Aligned Team Enabling Team Platform team Stream-Aligned Team Complicated- Subsystem Team Interaction mode: X-as-a-Service Interaction mode: X-as-a-Service Interaction mode: Facilitating Interaction mode: Collaborating Primary interaction modes for the 4 fundamental team topologies: Collaboration: working closely together with another team X-as-a Service: consuming or providing something with minimal collaboration Facilitating: helping (or being helped by) another team to clear impediments Evolution of team topologies Discover Establish Use Stream-Aligned Team: a team aligned to the main flow of business change, with cross-functional skills mix and the ability to deliver significant increments without waiting on another team. Platform team: a team that works on the underlying platform supporting stream-aligned teams in delivery. The platform simplifies otherwise complex technology and reduces cognitive load for teams that use it. Enabling team: a team that assists other teams in adopting and modifying software as part of a transition or learning period. Complicated-Subsystem Team: a team with a special remit for a subsystem that is too complicated to be dealt with by a normal stream-aligned team or platform team. Optional and only used when really necessary. Conway’s law: “Organizations which design systems … are constrained to produce designs which are copies of the communication structures of these organizations.” Cognitive load: “The total amount of mental effort being used in the working memory.” Restrict team responsibilities to match the maximum team cognitive load. • Intrinsic cognitive load – relates to aspects of the task fundamental to the problem space • Extraneous cognitive load – relates to the environment in which the task is being done • Germane cognitive load – relates to aspects of the task that need special attention for learning or high performance Scaling teams: Organizational groupings should follow Dunbar’s number, beginning with around 5- 8 people, then increasing to around 15 people, then 50, then 150, then 500, and so on. Brook’s law: “Adding new people to a team doesn’t immediately increase its capacity.: Live Rapid feedback Team first approach: start with the team for effective software delivery. There are multiple aspects to consider and nurture: team size, team lifespan, team relationships, and team cognition. Organizational sensing: expect to adapt and evolve your organization structure. ίϯ΢ΣΠͷ๏ଇ: “γεςϜΛઃܭ͢Δ૊৫͸… ͦͷ ૊৫ͷίϛϡχέʔγϣϯߏ଄Λίϐʔͨ͠ߏ଄ͷઃ ܭΛੜΈग़͢͜ͱʹͳΔ” νʔϜϑΝʔετͷऔΓ૊Έ: ιϑτ΢ΣΞσϦόϦʔͷ ޮՌΛߴΊΔͨΊͷνʔϜ͔Β࢝ΊΔɻצҊ͢΂͖؍఺͸ ෳ਺͋Δ: νʔϜαΠζɺଘଓظؒɺؔ܎ੑɺೝ஌ෛՙ ૊৫తηϯγϯά(Organizational Sensing): ૊৫ߏ଄ΛదԠɾൃలͤ͞ Δ͜ͱΛ໨࿦Ή νʔϜͷεέʔϧ: ૊৫ߏ଄ͷάϧʔϐϯά͸μϯόʔ਺ʹै ͏ɻ·ͣ͸5-8໊͔Β࢝ΊΔɻ࣍ʹ15໊ఔ౓ɺͦΕ͔Β50 ໊ɺ150໊ɺ500໊ɺͱ͢Δ ϒϧοΫεͷ๏ଇ: “ਓһΛ௥Ճͯ͠΋ɺνʔϜͷΩϟύγςΟ͸ ͙͢ʹ૿Ճ͢ΔΘ͚Ͱ͸ͳ͍” ετϦʔϜΞϥΠϯυνʔϜ: Ϗδ ωεతมߋͷओཁͳʮྲྀΕ(Flow)ʯ ʹ޲͚ͯฤ੒͞ΕΔνʔϜɻ৬ೳ ԣஅεΩϧͷ༥߹ମͰ͋ΔͨΊɺ ଞνʔϜͷ࡞ۀΛ଴ͭ͜ͱͳ͘ҙ ٛͷ͋ΔΠϯΫϦϝϯτΛσϦό ϦʔͰ͖Δೳྗ͕උΘ͍ͬͯΔ ϓϥοτϑΥʔϜνʔϜ: ετϦʔϜΞϥΠϯυ νʔϜͷσϦόϦʔΛαϙʔτ͢Δج൫ͱͳΔϓ ϥοτϑΥʔϜΛ࢓ࣄͷྖҬͱ͢ΔνʔϜɻϓϥο τϑΥʔϜ͸ෳࡶͳٕज़Λγϯϓϧʹ͢Δ͜ͱͰɺ ͦΕΛར༻͢ΔνʔϜͷೝ஌ෛՙΛܰݮ͢Δ ίϯϓϦέΠςΟουɾαϒγεςϜνʔϜ: ෳ ࡶ͗ͯ͢௨ৗͷετϦʔϜΞϥΠϯυνʔϜ΍ϓ ϥοτϑΥʔϜνʔϜͰ͸ରॲͰ͖ͳ͍αϒγε ςϜʹಛԽͯ͠औΓ૊ΉνʔϜɻຊ౰ʹඞཁͳ৔ ߹ɺͦΕ͕࠷ળͰ͋Δ৔߹ʹͷΈฤ੒͞ΕΔ ΠωΠϒϦϯάνʔϜ: Ҡߦ΍ֶशظؒͷҰ؀ͱ ͯ͠ɺଞͷνʔϜ͕ιϑτ΢ΣΞΛ࠾༻͢Δ͜ͱ΍ มߋ͢Δ͜ͱΛΞγετ͢ΔνʔϜ ΠϯλϥΫγϣϯϞʔυ: ΠϯλϥΫγϣϯϞʔυ: ΠϯλϥΫγϣϯϞʔυ: ΠϯλϥΫγϣϯϞʔυ: ຊ൪ ਝ଎ͳ ϑΟʔυόοΫ νʔϜτϙϩδʔͷൃల ൃݟ ཱ֬ ར༻ ೝ஌ෛՙ: “ϫʔΩϯάϝϞϦʹׂΓ౰ͯΒΕΔϝϯλϧ ΤϑΥʔτͷ૯ྔ”ɻνʔϜͷ੹຿͸νʔϜͷೝ஌ෛՙͷ ্ݶ੍͕໿ͱͳΔɻ ɾ಺ࡏੑ(intrinsic)ೝ஌ෛՙ ʔ ໰୊ྖҬͷຊ࣭ʹؔ࿈͢Δ λεΫʹ·ͭΘΔෛՙ ɾ֎ࡏੑ(extraneous)ೝ஌ෛՙ ʔ औΓ૊ΉλεΫͷ؀ڥ ʹ·ͭΘΔෛՙ ɾద੾ͳ(germane)ೝ஌ෛՙ ʔ ֶश΍ϋΠύϑΥʔϚϯ εΛൃش͢ΔͨΊʹऔΓΘ͚஫ҙྗΛཁ͢ΔλεΫʹ·ͭ ΘΔෛՙ جૅͱͳΔνʔϜτϙϩδʔ(4छྨ)ͷؒͷΠϯ λϥΫγϣϯϞʔυ: ίϥϘϨʔγϣϯ: ଞͷνʔϜͱີ઀ʹ࿈ܞ͢ Δ X-as-a Servie: ࠷খݶͷίϥϘϨʔγϣϯͰ ʮԿ͔ʯΛఏڙ/ར༻͢Δ ϑΝγϦςΠςΟϯά: ๦֐෺ΛऔΓআͨ͘Ί ʹଞͷνʔϜΛԉॿ͢Δ(ԉॿ͞ΕΔ) νʔϜ τϙϩδʔ Quick Reference Card Japanese translation by @kakutani, Oct 2021 - v1.0.1 IUUQTTDSBQCPYJPJLJJLJ23$@5FBN@5PQPMPHJFTKB
51. ετϦʔϜ
    ΞϥΠϯυνʔϜ
52. ϓϥοτϑΥʔϜνʔϜ
    ଞͷνʔϜͱ
    9BTB4FSWJDF ετϦʔϜ
    ΞϥΠϯυνʔϜ
53. ϓϥοτϑΥʔϜνʔϜ
    ଞͷνʔϜͱ
    9BTB4FSWJDF ετϦʔϜ
    ΞϥΠϯυνʔϜ ίϯϓϦέΠςου
    αϒγεςϜ
    νʔϜ
54. ϓϥοτϑΥʔϜνʔϜ
    ଞͷνʔϜͱ
    9BTB4FSWJDF ετϦʔϜ
    ΞϥΠϯυνʔϜ ίϯϓϦέΠςου
    αϒγεςϜ
    νʔϜ ΠωΠϒϦϯά
    νʔϜ 
 ඞཁͰ͋Ε͹εΫϥϜνʔϜͷ ಺ଆʹ͕ͬͭΓೖΓࠐΉ
55. ͍ͪͱΆͱ4!4·ͱΊ w νʔϜͷ෼ׂ͸ೝ஌ෛՙɺίϯ΢ΣΠͷ๏ଇɺઅཧ໘ͳͲΛ͕͔ͯΓʹ
    w ؔ৺ࣄͷ͍ۙετʔϦʔϜΞϥΠϯυνʔϜ΍ɺίϯϓϦέΠςουαϒγε ςϜνʔϜͳͲΛಉ͡4P4ʹ૊ΈೖΕΔ
    w ίϥϘϨʔγϣϯɺϑΝγϦςʔγϣϯ
    w ؔ৺ࣄͷԕ͍νʔϜɺ9BTB4FSWJDFͰΠϯλϥΫγϣϯ͢ΔνʔϜ͸ 4P4͔Β཭ͯ͠ྑ͍
56. $IBUXPSLͰ͸
57. ࣾ಺ಡॻձΛ։࠵
58. νʔϜτϙϩδʔಡॻձ w ຖि݄༵೔ʹ࣌ؒ
    w ࣄલ४උ΍ಡΈࠐΈ͸ෆཁ
    w લ൒෼
    ಡॻλΠϜޙ൒෼σΟεΧογϣϯλΠϜ
    w લ൒ͷಡॻλΠϜͰؾʹͳΔϙΠϯτΛ.JSP΁ɻޙ൒͸ͦΕΛ͕͔ͯΓʹٞ ࿦
    w ճͷ༷ࢠ͸࿥ը͓͖ͯ͠ɺ్தͰٳΜͰ΋෮ؼՄೳ
60. νʔϜτϙϩδʔಡॻձ w ಡॻձͷ࠷ऴճͰ͸ɺطଘͷ૊৫ͷ"T*Tͱ5P#FΛ͍ͪͱΆͷݴ༿Λ͔ͭͬ ͯղऍͯ͠ΈΔϫʔΫγϣοϓ
62. νʔϜτϙϩδʔಡॻձ
    ײ૝ w ʰνʔϜτϙϩδʔʱͷͭͷνʔϜλΠϓ
    ͭͷΠϯλϥΫγϣϯϞʔυ ͕ొ৔͢Δ
    w ͜ΕΒͷʮ༻ޠʯʹ͍͍͍ͭͯͪͪઆ໌͠ͳ͕Β૊৫σβΠϯͷઆ໌Λಉ྅ ʹͨ͘͠ͳ͍
    w ϝϯόʔಉ͕࢜ಉ͡ʮݴ༿ʯΛ࢖ͬͯ࿩ͤΔͷͰɺ࿩͕ૣ͍
63. ͍ͪͱΆͱεΫϥϜ
    ্खʹ૊Έ߹Θͤͯ
    ಇ͖΍͍͢૊৫Λͭ͘Ζ͏