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
定性調査と定量分析をMixする、Mixed methodsの活用事例と有効性 #pmconf2021
Search
Maya Fujiwara
November 05, 2021
Technology
1
3.5k
定性調査と定量分析をMixする、Mixed methodsの活用事例と有効性 #pmconf2021
pmconf 2021発表資料
https://2021.pmconf.jp/sessions/JZdvrz5F
Maya Fujiwara
November 05, 2021
Tweet
Share
More Decks by Maya Fujiwara
See All by Maya Fujiwara
CSSフレームワークでつながる、デザイナーとフロントエンドエンジニア
mayalfs
0
87
Other Decks in Technology
See All in Technology
Nonaka Sensei
kawaguti
PRO
3
610
doda開発 生成AI元年宣言!自家製AIエージェントから始める生産性改革 / doda Development Declaration of the First Year of Generated AI! Productivity Reforms Starting with Home-grown AI Agents
techtekt
0
130
QAはソフトウェアエンジニアリングを学んで実践するのが大事なの
ymty
1
370
AIコーディング新時代を生き残るための試行錯誤 / AI Coding Survival Guide
tomohisa
9
12k
AIエージェントのフレームワークを見るときの個人的注目ポイント
os1ma
1
520
TODAY 看世界(?) 是我們在看扣啦!
line_developers_tw
PRO
0
120
RubyOnRailsOnDevin+α / DevinMeetupJapan#2
ginkouno
0
190
Model Mondays S2E01: Advanced Reasoning
nitya
0
310
Securing your Lambda 101
chillzprezi
0
240
Autonomous Database サービス・アップデート (FY25)
oracle4engineer
PRO
2
760
名刺メーカーDevグループ 紹介資料
sansan33
PRO
0
770
宇宙パトロール ルル子から考える LT設計のコツ
masakiokuda
2
100
Featured
See All Featured
GraphQLの誤解/rethinking-graphql
sonatard
71
11k
Measuring & Analyzing Core Web Vitals
bluesmoon
7
480
Product Roadmaps are Hard
iamctodd
PRO
53
11k
Thoughts on Productivity
jonyablonski
69
4.7k
Designing Experiences People Love
moore
142
24k
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
48
5.4k
Designing Dashboards & Data Visualisations in Web Apps
destraynor
231
53k
The Art of Programming - Codeland 2020
erikaheidi
54
13k
Build The Right Thing And Hit Your Dates
maggiecrowley
36
2.7k
Understanding Cognitive Biases in Performance Measurement
bluesmoon
29
1.8k
Become a Pro
speakerdeck
PRO
28
5.4k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
180
53k
Transcript
ఆੑௐࠪͱఆྔੳΛMix͢Δ Mixed methodsͷ׆༻ࣄྫͱ༗ޮੑ -*/&גࣜձࣾ౻ݪຑ
ࣗݾհ ౻ݪຑ LINEΞϓϦͷνϟοτͷػೳͷاըɾվળΛ୲ 2018 UXσβΠφʔͱͯ͠ೖࣾ 2020 LINEاըࣨʹҟಈ → UXσβΠφʔ͔࣌ΒҾ͖ଓ͖ɺఆੑௐ͕ࠪಘҙͳPMͰ͢ɻ
·ͣɺMixed methods ʹ͍ͭͯ 🤔
.JYFENFUIPETͱ ఆੑɾఆྔͷॴΛ݁ͼ͚ͭͯϦαʔνΛ͢Δ͜ͱͰɺΑΓૣ͘ɾਂ͘ɾਖ਼֬ʹཧղ͢Δ͜ͱ͕ Ͱ͖Δௐࠪઃܭํ๏Ͱ͢ ྫ͑ɿ • ϢʔβʔΠϯλϏϡʔͰൃݟͨ͠ΠϯαΠτ͕ͲΕ͘Β͍Ұൠతͳͷͳ ͷ͔ΛఆྔతͳΞϯέʔτͰ֬ೝ͢Δ • ఆྔੳͰग़͖ͯͨϢʔβʔߦಈ͕ͲͷΑ͏ͳίϯςΫετͷதͰى͖ͯ ͍Δͷ͔ΛΠϯλϏϡʔͰ֬ೝ͢Δ
• ΞϯέʔτͰ"ͱ͑ͨϢʔβʔΛநग़͠ɺͦͷϢʔβʔͷߦಈϩάΛ ੳ͢Δ Auther/publisher Sam Ladner, PhD https://www.samladner.com/
.JYFENFUIPETͱ ఆྔੳ ఆੑௐࠪ Ωʔϫʔυ ԋ៷తࢥߟɺดܕɺਖ਼֬ੑɺ࣮ূओٛ ؼೲతࢥߟɺ։์ܕɺίϯςΫετɺղऍओٛ ڧΈ ҰൠԽنଇੑΛݟग़͢ػձΛఏڙ͢Δ ݸਓͷܦݧʹؔ͢Δਂ͍ࢹΛఏڙ͢Δ ௐࠪऀ͕࣋ͨͳ͍৽ͨͳࢹΛࣔࠦ͢Δ
ऑΈ ར༻ՄೳͳϩάͷൣғͰͷΈͷੳͱͳΔ ͳͥͦͷߦಈ͕ى͖ͨͷ͔Θ͔Βͳ͍ நग़ͷ࣠Ծઆʹجͮͨ͘Ίɺൃݟ͕ظ ͞Ε͍ͯΔߦಈͷཱূɾઆ໌ͱͳΔ σʔλ͕ۃΊͯओ؍తͰɺج४͕ଘࡏ͠ͳ͍ ੍͕ݶ͞ΕΔ͜ͱʹΑΓɺҰൠԽՄೳੑ͕ ੍ݶ͞ΕΔ ੳͷεςοϓͰ͞ΒʹੳऀͷόΠΞε͕ ͔͔Δ ମܥతʹֶͿͱఆྔɾఆੑͷҧ͍ΛΑΓਂ͘ཧղͰ͖ɺޮՌతʹ.JYͰ͖ΔΑ͏ʹͳΔ Auther/publisher Sam Ladner, PhD https://www.samladner.com/
.JYFENFUIPETͱ ఆྔੳ ఆੑௐࠪ Ωʔϫʔυ ԋ៷తࢥߟɺดܕɺਖ਼֬ੑɺ࣮ূओٛ ؼೲతࢥߟɺ։์ܕɺίϯςΫετɺղऍओٛ ڧΈ ҰൠԽنଇੑΛݟग़͢ػձΛఏڙ͢Δ ݸਓͷܦݧʹؔ͢Δਂ͍ࢹΛఏڙ͢Δ ௐࠪऀ͕࣋ͨͳ͍৽ͨͳࢹΛࣔࠦ͢Δ
ऑΈ ར༻ՄೳͳϩάͷൣғͰͷΈͷੳͱͳΔ ͳͥͦͷߦಈ͕ى͖ͨͷ͔Θ͔Βͳ͍ நग़ͷ࣠Ծઆʹجͮͨ͘Ίɺൃݟ͕ظ ͞Ε͍ͯΔߦಈͷཱূɾઆ໌ͱͳΔ σʔλ͕ۃΊͯओ؍తͰɺج४͕ଘࡏ͠ͳ͍ ੍͕ݶ͞ΕΔ͜ͱʹΑΓɺҰൠԽՄೳੑ͕ ੍ݶ͞ΕΔ ੳͷεςοϓͰ͞ΒʹੳऀͷόΠΞε͕ ͔͔Δ ମܥతʹֶͿͱఆྔɾఆੑͷҧ͍ΛΑΓਂ͘ཧղͰ͖ɺޮՌతʹ.JYͰ͖ΔΑ͏ʹͳΔ Auther/publisher Sam Ladner, PhD https://www.samladner.com/ ࠓɺ͜ͷຊͷ༰Λ۷ΓԼ͛Δͱ͍͏ΑΓɺ .JYFENFUIPETͱ͍͏ݴ༿Λελʔτͱ͠ɺ ͲͷΑ͏ʹνʔϜɾϓϩδΣΫτʹྑ͍Өڹ͕͔͋ͬͨΛ͓͍ͨ͠͠ͱࢥ͍·͢
ࢲͱ.JYFENFUIPETͷग़ձ͍ ϓϩδΣΫτνʔϜ 1. %BUB TDJFOUJTU 1. σʔλαΠΤϯςΟετ ։ൃɾσβΠϯ ͭΑͭΑ
ࢲͱ.JYFENFUIPETͷग़ձ͍ .F ͭΑͭΑσʔλαΠΤϯςΟετ 1. %BUB 4DJFOUJTU 1. %BUB 4DJFOUJTU ࠓྠಡձͷޙɺिʹҰܧଓతʹू·ͬͯࡶஊˍֶशΛਐΊ͍ͯ·͢
࠷ۙ.JYFENFUIPET͍ͬͯ͏ຊ ʹͳͬͯ·͢ͶɺؾʹͳΔ ໘നͦ͏Ͱ͢ΑͶ ಡΜͰΈΑ͏͔ͳ
ࢲͱ.JYFENFUIPETͷग़ձ͍ .F ͭΑͭΑσʔλαΠΤϯςΟετ 1. %BUB 4DJFOUJTU 1. %BUB 4DJFOUJTU ࠓྠಡձͷޙɺिʹҰܧଓతʹू·ͬͯࡶஊˍֶशΛਐΊ͍ͯ·͢
͔͔ͤͬͩ͘Βྠಡձʹ ͠·͢ʁ ʢ৯͍ؾຯͰʣ͍͍Ͱ͢ ͶʂΓ·͠ΐ͏ʂʂ
ࢲͱ.JYFENFUIPETͷग़ձ͍ .F ͭΑͭΑσʔλαΠΤϯςΟετ 1. %BUB 4DJFOUJTU 1. %BUB 4DJFOUJTU ࠓྠಡձͷޙɺिʹҰܧଓతʹू·ͬͯࡶஊˍֶशΛਐΊ͍ͯ·͢
͜Εσʔλৄ͍͠ͱɺ ͬͱίϥϘϨʔγϣϯΛ ߴΊΔΊͬͪΌྑ͍ νϟʔϯεʂʂ
ʢࢲ͕ߟ͑Δʣ.JYFENFUIPET͕ͨΒ͢༗ޮੑ ͖͋ΒΊͣɺຊ࣭తͳՁΛνʔϜͰٻ͢ΔͨΊʹศརͳڞ௨ݴޠ ϝΠϯσʔλநग़ͱϦαʔνΛಘҙͱ͢Δϝϯόʔؒ .JYFENFUIPETલ .JYFENFUIPETΛڞ௨ݴޠͱͯ࣋ͬͨ͠ޙ • ఆੑɾఆྔͷௐ͕ࠪผͷϑΣʔζతஅ͞ΕΔ͜ͱ͕ଟ͘ɺͦΕͧΕͷௐࠪͰΘ͔Βͳ͍ͱ ͜Ζ͖͋ΒΊ͍ͯͨ •
ʮ͜Ε͔Βͳ͍Ͱ͢ͶʯͰऴΘΒͳ͘ͳΓɺʮ͓͜͜ئ͍Ͱ͖·͔͢ʁʯͱύεΛૹΔΑ͏ʹͳͬͨ • खஈΛબͣҰͭͷతͷͨΊʹνʔϜͰ՝ՁΛٻ͠ɺ৽ͨͳ݁ʹḷΓண͚ΔΑ͏ʹͳͬͨ • νʔϜ։ൃͷָ͠͞Λ࠷େԽͰ͖Δ
Mixed methods ཱ͕ͬͨ ࣄྫΛհ͠·͢ 🤔
ϓϩδΣΫτͷਐߦ .JYFENFUIPET
None
-*/&-BCTͷػೳͰ͢ɻͥͻࢼͯ͠Έ͍ͯͩ͘͞ʂ
ղܾ͍ͨ͠՝ -*/&ΛΞΫςΟϒʹ͑͏΄ͲɺτʔΫϦετͷະಡϝοηʔδͷཧ͕͘͠ͳΔ ະಡ999+͕ৗଶԽ!!
ղܾ͍ͨ͠՝ ຊʹେͳ༑ͩͪɾՈͱͷ ৽ணτʔΫ͕ຒΕͯ͠·͏
ղܾ͍ͨ͠՝ τʔΫΛΧςΰϦʔ ͝ͱʹ͚Δ
ղܾ͍ͨ͠՝ "OESPJE൛Λ݄ɺJ04൛Λ݄ʹϦϦʔε
"OESPJE൛Λ݄ɺJ04൛Λ݄ʹϦϦʔε ղܾ͍ͨ͠՝ Ұఆ࣌ؒτʔΫλϒ͔Β ΕͨΒɺʦͯ͢ʧΛ։͘ ༷Ͱ৽ணϝοηʔδΛ· ͱΊͯΈ͘͢
ϦϦʔε &QJTPEF ఆੑௐࠪΛ࣮ࢪ &QJTPEF ͞ΒͳΔఆྔੳ &QJTPEF ఆྔੳͰޮՌݕূ
ϓϩδΣΫτͷਐߦ
&QఆྔੳͰޮՌݕূ 🤔
&QఆྔੳͰޮՌݕূ ެࣜ 3% άϧʔϓ 4% ༑ͩͪ 8% ͯ͢ 85% →
݁Ռɿ ʦͯ͢ʧϑΥϧμʔͰϝοηʔδ֬ೝ͕ѹతʹଟ͔ͬͨ ϑΥϧμผϝοηʔδ֬ೝ ఆɿϢʔβʔ ʦ༑ͩͪʧʦάϧʔϓʧϑΥϧμʔͰϝοηʔδΛ֬ೝ͢ΔΑ͏ʹͳΔͩΖ͏
&QఆྔੳͰޮՌݕূ ݁ՌɿϑΥϧμʔػೳΛ͜ͷ··ਖ਼ࣜϦϦʔε͢ΔͱϏδωεʹѱӨڹΛ༩͑ΔՄೳੑ͕ݟ͑ͨ 🥺
&QఆྔੳͰޮՌݕূ Ϣʔβʔʦ༑ͩͪʧʦάϧʔϓʧϑΥϧμʔͰϝοηʔδ Λ֬ೝ͢Δ͕ͣɺʦͯ͢ʧ͕ѹతʹଟ͔ͬͨ ϏδωεʹѱӨڹΛ༩͑ͦ͏ͩ → ͜Εͬͯຊʹ՝Λղܾͯ͠Δͷʁ → ͦ͜·ͰϦεΫΛͱͬͯΔ͜ͱͳͷʁ
&QఆྔੳͰޮՌݕূ Ϣʔβʔʦ༑ͩͪʧʦάϧʔϓʧϑΥϧμʔͰϝοηʔδ Λ֬ೝ͢Δ͕ͣɺʦͯ͢ʧϑΥϧμʔͰͷ֬ೝ͕ѹత ʹଟ͔ͬͨ τʔΫλϒʹؔΘΔ༷ʑͳϏδωεεςʔΫϗϧμʔ͕͍Δ தͰɺҰ෦KPIʹӨڹ͕͋Γͦ͏ͳੳ݁Ռ͕͋ͬͨ → ͜Εͬͯຊʹ՝Λղܾͯ͠Δͷʁ → ͦ͜·ͰϦεΫΛͱͬͯΔ͜ͱͳͷʁ
͜ͷ࣌Ͱɺࣾੈ͔ͳΓωΨςΟϒ ʢ-BCTܧଓ͕ਫ਼ҰഋɻػೳͷΫϩʔζࢹʹೖΔɾɾɾʣ
&QఆྔੳͰޮՌݕূ ͨͩɺଞʹؾʹͳΔσʔλ͕͋Γ·ͨ͠
&QఆྔੳͰޮՌݕূ ػೳΛ0/͢ΔϢʔβʔͱͯଟ͍ ݄࣌Ͱ(MPCBMͰສϢʔβʔɻ5BJXBOͩͱ͍ۙϢʔβʔ͕͜ͷػೳΛ͍ͬͯΔɻ 0 1750 3500 5250 7000 2020/5 2020/12
2021/6 now "OESPJESFMFBTF J04SFMFBTF ສϢʔβʔ
&QఆྔੳͰޮՌݕূ -*/&্ͷ༑͕ͩͪଟ͍ਓ΄Ͳɺ͍ଓ͚Δʹ͋Δ Ϣʔβʔ͝ͱͷ-*/&্ͷ༑ͩͪͷ Ұϲ݄ҎʹػೳΛ0/ͷ··ɺ͍ଓ͚Δਓͷׂ߹ 91% 93% 95% 96% 98% 0-29ਓ
30-59ਓ 60-89ਓ 90ਓҎ্ 97% 96% 94% 92% େྔͷϝοηʔδΛड͚औΓɺఆͨ͠՝Λ๊͕͑ͪͳϢʔβʔ
&QఆྔੳͰޮՌݕূ 4/4Ͱͷڹ͕ͱͯྑ͍
&QఆྔੳͰޮՌݕূ 4/4Ͱͷڹ͕ͱͯྑ͍
&QఆྔੳͰޮՌݕূ ૬͢Δσʔλ ʦͯ͢ʧϑΥϧμʔͰͷ֬ೝ͕ѹతʹଟ͔ͬͨ → ͜Εͬͯຊʹ՝Λղܾͯ͠Δͷʁʁ ެࣜ 3% άϧʔϓ 4% ༑ͩͪ
8% ͯ͢ 85% ػೳΛ0/͢ΔϢʔβʔͱͯଟ͘ɺ ఆͨ͠՝ͷ͋ΔϢʔβʔ͍ଓ͚͍ͯΔ 1750 3500 5250 7000 2020/5 2020/12 2021/6 now ສ
ϦϦʔε .JYFENFUIPET &QJTPEF ఆྔੳͰޮՌݕূ &QJTPEF ఆੑௐࠪΛ࣮ࢪ &QJTPEF
͞ΒͳΔఆྔੳ
&QఆੑௐࠪΛ࣮ࢪ ͦΕͧΕͷௐࠪख๏ͷಛੑ ఆྔੳ ఆੑௐࠪ Ωʔϫʔυ ԋ៷తࢥߟɺดܕɺਖ਼֬ੑɺ࣮ূओٛ ؼೲతࢥߟɺ։์ܕɺίϯςΫετɺղऍओٛ ڧΈ ҰൠԽنଇੑΛݟग़͢ػձΛఏڙ͢Δ ݸਓͷܦݧʹؔ͢Δਂ͍ࢹΛఏڙ͢Δ
ௐࠪऀ͕࣋ͨͳ͍৽ͨͳࢹΛࣔࠦ͢Δ ऑΈ ར༻ՄೳͳϩάͷൣғͰͷΈͷੳͱͳΔ ͳͥͦͷߦಈ͕ى͖ͨͷ͔Θ͔Βͳ͍ நग़ͷ࣠Ծઆʹجͮͨ͘Ίɺൃݟ͕ظ͞Ε͍ͯΔߦ ಈͷཱূɾઆ໌ͱͳΔ σʔλ͕ۃΊͯओ؍తͰɺج४͕ଘࡏ͠ͳ͍ ੍͕ݶ͞ΕΔ͜ͱʹΑΓɺҰൠԽՄೳੑ੍͕ݶ͞ΕΔ ੳͷεςοϓͰ͞ΒʹੳऀͷόΠΞε͕͔͔Δ
ʦͯ͢ʧϑΥϧμʔͰͷ֬ೝ͕ѹతʹଟ͔ͬͨ → ͜Εͬͯຊʹ՝Λղܾͯ͠Δͷʁʁ ެࣜ 3% άϧʔϓ 4% ༑ͩͪ 8% ͯ͢
85% &QఆੑௐࠪΛ࣮ࢪ ૬͢Δσʔλ ػೳΛ0/͢ΔϢʔβʔͱͯଟ͘ɺ ఆͨ͠՝ͷ͋ΔϢʔβʔ͍ଓ͚͍ͯΔ 1750 3500 5250 7000 2020/5 2020/12 2021/6 now ສ ϢʔβʔԿΛظͯ͠ػೳΛ0/ͨ͠ʁ ͬͨ݁Ռɺظ௨Γͩͬͨʁ ར༻ҙߴͦ͏ͳͷʹɺʦͯ͢ʧλοϓ͕ଟ͍ͷͳͥʁ
ʦͯ͢ʧϑΥϧμʔͰͷ֬ೝ͕ѹతʹଟ͔ͬͨ → ͜Εͬͯຊʹ՝Λղܾͯ͠Δͷʁʁ ެࣜ 3% άϧʔϓ 4% ༑ͩͪ 8% ͯ͢
85% &QఆੑௐࠪΛ࣮ࢪ ૬͢Δσʔλ ػೳΛ0/͢ΔϢʔβʔͱͯଟ͘ɺ ఆͨ͠՝ͷ͋ΔϢʔβʔ͍ଓ͚͍ͯΔ 1750 3500 5250 7000 2020/5 2020/12 2021/6 now ສ ݁Λग़͢ͷ·ͩૣ͍ɻ ʹఆੑௐࠪΛ࣮ࢪ͠Α͏ ૬͢ΔϢʔβʔߦಈͷʮͳͥʯΛಛఆ͍ͨ͠
&QఆੑௐࠪΛ࣮ࢪ 🤔
&QఆੑௐࠪΛ࣮ࢪ ɾλΠɾຊϢʔβʔ໊ΛରʹΠϯλϏϡʔ࣮ࢪ • ಉηάϝϯτϢʔβʔਓΛηοτʹYύλʔϯͷ ΠϯλϏϡʔ • ͍ଓ͚͍ͯΔਓɺ͏͜ͱΛΊͨਓ
&QఆੑௐࠪΛ࣮ࢪ ԿΛظ͍͔ͯͨ͠ʁ ʦ༑ͩͪʧͱʦLINEެࣜΞΧϯτʧΛ ͚ͯཧͰ͖Δ τʔΫϧʔϜ͕ཧͰ͖Δ ϢʔβʔτʔΫϧʔϜΛ༏ઌͰཧ͍ͨ͠ͱࢥ͍ͬͯͯɺҙਤ௨Γ
&QఆੑௐࠪΛ࣮ࢪ ԿΛظ͍͔ͯͨ͠ʁ ͬͯɺظ௨Γ͔ͩͬͨʁ Ҡಈ͕໘ͳͷͰɺ݁ہʦͯ͢ʧ͔͠ ։͍͍ͯͳ͍ ʦ༑ͩͪʧͱʦLINEެࣜΞΧϯτʧΛ ͚ͯཧͰ͖Δ τʔΫϧʔϜ͕ཧͰ͖Δ ظͱҧͬͨ
ʦ༑ͩͪʧPS<άϧʔϓ>ΛσϑΥϧτͰ։͍͓͖͍ͯͨ ࠷ޙʹ։͍ͨϑΥϧμʔΛ࣍ΞΫηεͨ࣌͠ʹ։͖͍ͨ ϢʔβʔࣗͷҙͷϑΥϧμʔΛ։͍͍͍ͯͨͱࢥ͍ͬͯΔ͕ɺ ʦͯ͢ʧʹΔ༷͕ͦͷߦಈΛ੍ݶ͍ͯ͠Δ
&QఆੑௐࠪΛ࣮ࢪ ૬͢Δσʔλ “ͯ͢”ϑΥϧμͰͷ֬ೝ͕ѹతʹଟ͔ͬͨ → ͜Εͬͯຊʹ՝Λղܾͯ͠Δͷʁʁ ެࣜ 3% άϧʔϓ 4% ༑ͩͪ
8% ͯ͢ 85% ػೳΛ0/͢ΔϢʔβʔͱͯଟ͘ɺ ఆͨ͠՝ͷ͋ΔϢʔβʔ͍ଓ͚͍ͯΔ 1750 3500 5250 7000 2020/5 2020/12 2021/6 now ສ
ʦͯ͢ʧϑΥϧμʔͰͷ֬ೝ͕ѹతʹଟ͔ͬͨ → ͜Εͬͯຊʹ՝Λղܾͯ͠Δͷʁʁ ެࣜ 3% άϧʔϓ 4% ༑ͩͪ 8% ͯ͢
85% &QఆੑௐࠪΛ࣮ࢪ ૬͢Δσʔλ ͜ͷՁΛϢʔβʔ࣮ࡍʹײ͍ͯͯ͡ɺҙਤʹԊͬͨར༻Λ͍ͯ͠Δ ʮେͳτʔΫΛݟಀ͞ͳ͍ʯ ػೳΛ0/͢ΔϢʔβʔͱͯଟ͘ɺ ఆͨ͠՝ͷ͋ΔϢʔβʔ͍ଓ͚͍ͯΔ 1750 3500 5250 7000 2020/5 2020/12 2021/6 now ສ
૬͢Δσʔλ ػೳΛ0/͢ΔϢʔβʔͱͯଟ͘ɺ ఆͨ͠՝ͷ͋ΔϢʔβʔ͍ଓ͚͍ͯΔ 1750 3500 5250 7000 2020/5 2020/12
2021/6 now ສ ʦͯ͢ʧͰͷϝοηʔδ֬ೝϢʔβʔ͕ ΜͰ͍ΔߦಈͰͳ͍ Ϣʔβʔڧ੍తʹʦͯ͢ʧʹΒ͞ΕΔͨΊ ͦ͜ͰϝοηʔδΛ֬ೝ͍ͯ͠Δ͕ɺ͜ͷ༷Λมߋ͢Δͱσʔλ ͕େ͖͘มΘΔՄೳੑ͕ߴ͍ɻ ʢʦͯ͢ʧ͔͠Θͳ͍ʹػೳʹՁ͕ͳ͍ͱࢥ͍͜ΜͰ͍ͨʣ &QఆੑௐࠪΛ࣮ࢪ ʦͯ͢ʧϑΥϧμʔͰͷ֬ೝ͕ѹతʹଟ͔ͬͨ → ͜Εͬͯຊʹ՝Λղܾͯ͠Δͷʁʁ ެࣜ 3% άϧʔϓ 4% ༑ͩͪ 8% ͯ͢ 85%
&QఆੑௐࠪΛ࣮ࢪ ωΨςΟϒͳӨڹݒ೦͕͋ΔϏδωεαΠυͷਓ ͱͯྑ͍ػೳͩͱࢥ͏ɻظతʹϏδωεઢͰ՝͕͋ͬͯɺϢʔβʔͷ͍͢͞Λߟ ͑ΔͱඞཁෆՄܽͩ͠ɺͦΕظతʹϏδωεʹϙδςΟϒʹಇͣͩ͘ͱࢥ͏ɻؔऀ ͷઆ໌ͬͪ͜ͰΔ͔ΒɺͳΜͱ͔ͦͷՁΛূ໌ͯ͠΄͍͠ɻ
&QJTPEF ఆྔੳͰޮՌݕূ &QJTPEF ఆੑௐࠪΛ࣮ࢪ &QJTPEF ͞ΒͳΔఆྔੳ ϦϦʔε
.JYFENFUIPET .JYFENFUIPETͷߟ͑ํ͕߹ྲྀ ఆྔੳͷΓͳ͍෦Λ͞Βʹਂ΅Γɺ શମ૾Λཧղ͠Α͏ͱ͍͏ํੑʹ͔ͬͨ
&Q͞ΒͳΔఆྔੳ 🤔
&Q͞ΒͳΔఆྔੳ ՝ɿະಡ ͕ৗଶԽͯ͠ɺຊʹେͳ༑ͩͪɺՈͱͷ৽ணτʔ Ϋ͕ຒΕͯ͠·͏ τʔΫϑΥϧμʔ͕՝Λղܾ͢Δͱɿ ະಡόοδΧϯτ͕ݮΔˡ͜Εσʔλͱͯ͠औ͍ͬͯͳ͍ • ະಡΛফԽ͢Δ׆ಈʢ/ফ͠ʣΑ͋͘ΔϢʔβʔߦಈͷͨ Ίɺະಡ͕ݮ͍ͬͯͨͱͯ͠ɺͦΕ՝Λղܾ͍ͯͯ͜͠ ͷػೳʹՁ͕͋Δͱݴ͍Εͳ͍
• ϝοηʔδ͕ཧͰ͖ͯɺେࣄͳϝοηʔδΛݟಀ͞ͳ͘ͳΔͱɺ Կ͕ى͖Δ͔ʁ Ͳ͏ͨ͠ΒՁΛଌΕΔ͔ ະಡόοδ େͳ৽ணτʔΫͷطಡϦʔυλΠϜʁ ϝοηʔδͷૹ৴ τʔΫλϒࡏ࣌ؒ ৽ணϝοηʔδ͕ དྷ͔ͯΒ֬ೝ͢Δ ϦʔυλΠϜ ͜ͷػೳʹՁ͕͋Γ·͢ʂͱݴ͍ΕΔࢦඪ͕΄͍͠ ఆੑௐࠪͷ݁ՌΛݟΔݶΓɺͲ͔͜ʹ͋Δͣʂ
&Q͞ΒͳΔఆྔੳ ՝ΛτʔΫϑΥϧμʔͰղܾ͢Δͱ Ͳ͏ͨ͠ΒՁΛଌΕΔ͔ τʔΫλϒࡏ࣌ؒ ৽ணϝοηʔδͷطಡ ϦʔυλΠϜ ະಡόοδ େͳ৽ணτʔΫͷ طಡϦʔυλΠϜʁ
• ະಡόοδΧϯτ͕ݮΔ ˡͰ͜Εσʔλͱͯ͠औ͍ͬͯͳ͍ • εϫΠϓطಡͳͲະಡΛফԽ͢Δ׆ಈҰൠతͳͨ Ίɺྫ͑ະಡόοδ͕ݮ͍ͬͯͨͱͯ͠ɺͦΕ ͜ͷػೳʹՁ͕͋Δͱݴ͍Εͳ͍ େͳ৽ண͔Ͳ͏͔ͳΜͯΘ͔Δʁ
&Q͞ΒͳΔఆྔੳ ՝ɿະಡ ͕ৗଶԽͯ͠ɺຊʹେͳ༑ͩͪɺՈͱͷ৽ணτʔ Ϋ͕ຒΕͯ͠·͏ τʔΫϑΥϧμʔ͕՝Λղܾ͢Δͱɿ ະಡόοδΧϯτ͕ݮΔˡ͜Εσʔλͱͯ͠औ͍ͬͯͳ͍ • ະಡΛফԽ͢Δ׆ಈʢ/ফ͠ʣΑ͋͘ΔϢʔβʔߦಈͷͨ Ίɺະಡ͕ݮ͍ͬͯͨͱͯ͠ɺͦΕ՝Λղܾ͍ͯͯ͜͠ ͷػೳʹՁ͕͋Δͱݴ͍Εͳ͍
• ϝοηʔδ͕ཧͰ͖ͯɺେࣄͳϝοηʔδΛݟಀ͞ͳ͘ͳΔͱɺ Կ͕ى͖Δ͔ʁ Ͳ͏ͨ͠ΒՁΛଌΕΔ͔ ະಡόοδ େͳ৽ணτʔΫͷطಡϦʔυλΠϜʁ ϝοηʔδͷૹ৴ τʔΫλϒࡏ࣌ؒ ৽ணϝοηʔδ͕ དྷ͔ͯΒ֬ೝ͢Δ ϦʔυλΠϜ 1. %BUB 4DJFOUJTU ͋͋Ͱͳ͍ ͜͏Ͱͳ͍ ϝοηʔδ͕ཧͰ͖ͯɺେࣄͳϝοηʔδΛݟಀ͞ͳ͘ͳΔͱɺԿ͕ى͖ΔͩΖ͏ʁ ୯७ʹɺίϛϡχέʔγϣϯ͕૿͑ΔͷͰʁ
&Q͞ΒͳΔఆྔੳ ՝ɿະಡ ͕ৗଶԽͯ͠ɺຊʹେͳ༑ͩͪɺՈͱͷ৽ணτʔ Ϋ͕ຒΕͯ͠·͏ τʔΫϑΥϧμʔ͕՝Λղܾ͢Δͱɿ ະಡόοδΧϯτ͕ݮΔˡ͜Εσʔλͱͯ͠औ͍ͬͯͳ͍ • ະಡΛফԽ͢Δ׆ಈʢ/ফ͠ʣΑ͋͘ΔϢʔβʔߦಈͷͨ Ίɺະಡ͕ݮ͍ͬͯͨͱͯ͠ɺͦΕ՝Λղܾ͍ͯͯ͜͠ ͷػೳʹՁ͕͋Δͱݴ͍Εͳ͍
• ϝοηʔδ͕ཧͰ͖ͯɺେࣄͳϝοηʔδΛݟಀ͞ͳ͘ͳΔͱɺ Կ͕ى͖Δ͔ʁ Ͳ͏ͨ͠ΒՁΛଌΕΔ͔ ະಡόοδ େͳ৽ணτʔΫͷطಡϦʔυλΠϜʁ ϝοηʔδͷૹ৴ τʔΫλϒࡏ࣌ؒ ৽ணϝοηʔδ͕ དྷ͔ͯΒ֬ೝ͢Δ ϦʔυλΠϜ ͦͦࢲͨͪͷϛογϣϯͬͯϢʔβʔʹ ΑΓָ͘͠ศརͳίϛϡχέʔγϣϯΛఏڙ͢Δ͜ͱͩͬͨʂ ʢ͍ΖΜͳࢦඪʹṆΕͯݟࣦ͍͔͚ͯͨɾɾɾʣ
&Q͞ΒͳΔఆྔੳ -*/&νϟοτͷҰ൪େ͖ͳՁ ʮϝοηʔδૹ৴ʯΛΈͯΈΑ͏ ະಡόοδ େͳ৽ணτʔΫͷ طಡϦʔυλΠϜʁ τʔΫλϒࡏ࣌ؒ ৽ணϝοηʔδͷطಡ
ϦʔυλΠϜ ʙഎਫͷਞʙ ΑΓָͯ͘͠ศརͳ ίϛϡχέʔγϣϯ ϝοηʔδͷૹ৴
ϔϏʔϢʔβʔͷτʔΫϑΥϧμʔར༻։࢝ϲ݄Ͱͷϝοηʔδૹ৴ͷมԽ &Q͞ΒͳΔఆྔੳ ϝοηʔδɺཧ༝͕͋ͬͯ ૹΔίϛϡχέʔγϣϯ׆ಈ ͷͨΊɺ6*มߋͰϝοηʔδ ͕༗ҙʹ૿͑ͨʢมԽ͕ ͋ͬͨʣલྫগͳ͍Ͱ͢ɻ
&QఆྔੳͰޮՌݕূ 4/4Ͱͷڹ͕ͱͯྑ͍ շదʹͳͬͯɺϝοηʔδΛ ΑΓૹͬͯ͘ΕΔΑ͏ʹ ͳͬͨ շదʹͳͬͯɺΑΓଟ͘ͷϝοηʔδΛૹͬͯ͘ΕΔΑ͏ʹͳͬͨ
ٞͷํੑʹมԽ τʔΫϑΥϧμʔϔϏʔϢʔβʔ͚ʹ -*/&ͷຊ࣭తͳՁʮίϛϡχέʔγϣϯྔʯΛ૿͢ػೳͰ͋Δ ˠػೳΛΩʔϓͯ͠͞ΒͳΔվળΛݕ౼͍ͯ͘͠👏👏👏
&QJTPEF ఆྔੳͰޮՌݕূ &QJTPEF ఆੑௐࠪΛ࣮ࢪ &QJTPEF ͞ΒͳΔఆྔੳ ϦϦʔε
.JYFENFUIPET ػೳͷຊ࣭తͳՁͷ࠶ఆٛɾ࠶֬ೝ Λ͢Δ͜ͱ͕Ͱ͖ͨ
ࣄྫΛ௨ͯ͠Mixed methods ͕ ͨΒͨ͠ޮՌͷ·ͱΊ 🤔
&QJTPEF ఆྔੳͰޮՌݕূ &QJTPEF ఆੑௐࠪΛ࣮ࢪ &QJTPEF ͞ΒͳΔఆྔੳ ϦϦʔε
.JYFENFUIPET ͜ͷஈ֊ͰௐࠪྃɺػೳࣗମͷΫ ϩʔζΛݕ౼ɺͱ͍͏ྲྀΕʹͳ͍ͬͯ ͓͔ͯ͘͠ͳ͔ͬͨ
&QJTPEF ఆྔੳͰޮՌݕূ &QJTPEF ఆੑௐࠪΛ࣮ࢪ &QJTPEF ͞ΒͳΔఆྔੳ ϦϦʔε
.JYFENFUIPET .JYFENFUIPETͷߟ͑ํ͕߹ྲྀ ఆྔੳͷΓͳ͍෦Λ͞Βʹਂ΅Γɺ શମ૾Λཧղ͠Α͏ͱ͍͏ํੑʹ͔ͬͨ
&QJTPEF ఆྔੳͰޮՌݕূ &QJTPEF ఆੑௐࠪΛ࣮ࢪ &QJTPEF ͞ΒͳΔఆྔੳ ϦϦʔε
.JYFENFUIPET ػೳͷຊ࣭తͳՁͷ࠶ఆٛɾ࠶֬ೝ Λ͢Δ͜ͱ͕Ͱ͖ͨ
վΊͯɺMixed methods ͱ 🤔
• ʮ͜Ε͔Βͳ͍Ͱ͢ͶʯͰऴΘΒͳ͘ͳΓɺʮ͓͜͜ئ͍Ͱ͖·͔͢ʁʯͱύεΛૹΔΑ͏ʹͳͬͨ • खஈΛબͣҰͭͷతͷͨΊʹνʔϜͰ՝ՁΛٻ͠ɺ৽ͨͳ݁ʹḷΓண͚ΔΑ͏ʹͳͬͨ • νʔϜ։ൃͷָ͠͞Λ࠷େԽͰ͖Δ ʢࢲ͕ߟ͑Δʣ.JYFENFUIPET͕ͨΒ͢༗ޮੑ ͖͋ΒΊͣɺຊ࣭తͳՁΛνʔϜͰٻ͢ΔͨΊʹศརͳڞ௨ݴޠ ओʹɺσʔλநग़ͱϦαʔνΛಘҙͱ͢Δϝϯόʔؒ
࠶ܝ .JYFENFUIPETલ .JYFENFUIPETΛڞ௨ݴޠͱͯ࣋ͬͨ͠ޙ • ఆੑɾఆྔͷௐ͕ࠪผͷϑΣʔζతஅ͞ΕΔ͜ͱ͕ଟ͘ɺͦΕͧΕͷௐࠪͰΘ͔Βͳ͍ͱ ͜Ζ͖͋ΒΊ͍ͯͨ
"QQFOEJY͙͢Ͱ͖Δ͓͢͢Ίεςοϓ .JYFENFUIPETͱʁ֓ཁΛΈΜͳͰಡΜͰΈΔ • ͓͢͢ΊBNBUBQMVTᖒ͞Μͷ/PUFͰ͢ IUUQTOPUFDPNIJSPLP@OP[BXBOOGDEG ҰਓͻͱΓͷࣝΛɺڞ௨ݴޠԽ͢Δʂ ࠓ·ͰͷϓϩδΣΫτͰ.JYFENFUIPETతͳࣄྫ͋Δ͔ʁΛ ͠߹͏ •
͚ͬ͜͏ग़ͯ͘Δͱࢥ͍·͢ • ఆੑఆྔͷύλʔϯɺఆྔఆੑͷύλʔϯɺϓϩδΣΫτ͝ ͱʹͲͷύλʔϯ͕ଟ͍͔ɺ࠷దͦ͏͔Λ͢ͱ໘ന͍Ͱ͢
Thanks for listening • ࠓޙษڧձ࣮ࢪ͍ͯ͘͠ͷͰɺͥͻօ͞ΜͷࣄྫΛڭ͍͑ͯͩ͘͞ʂ • 1.ɺ69Ϧαʔνϟʔɺ1..࠾༻ͬͯ·͢ • ͜ͷޙͷ"TLUIFTQFBLFSʹͭΑͭΑσʔλαΠΤϯςΟετ͡ΊϓϩδΣΫτ ؔऀΛݺΜͰ͍·͢ͷͰɺଟ༷ͳ࣭͓͍ͪͯ͝͠·͢ʂ
@mayooon