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
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Maya Fujiwara
November 05, 2021
Technology
3.8k
1
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
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
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
91
Other Decks in Technology
See All in Technology
やさしいA2A入門
minorun365
PRO
7
490
LLMにもCAP定理があるという話
harukasakihara
0
200
サプライチェーンセキュリティの空白地帯 - 信頼できる”依存性”の未来を考える
rung
PRO
2
780
Microsoft Build Keynoteふりかえり
tomokusaba
0
110
AWSシリコン最前線 〜AI時代のチップ選択を読み解く〜
htokoyo
1
240
Terraformモジュールは、なぜ「魔境」化するのか
hayama17
2
220
TypeScript Compiler APIとPHP-Parserを活用し、TypeScriptとPHPで型を共有する
shuta13
0
370
運用を見据えたAIエージェント設計実践
amacbee
1
3.2k
社内 AI エージェント Synapse と セマンティックレイヤーの育て方
hiroakis
0
400
noUncheckedIndexedAccess、3時間、1万円。 / noUncheckedIndexedAccess, 3 Hours, 10,000 JPY.
kaonavi
1
340
Djangoユーザが知っ得なPostgreSQL機能 - 設計の選択肢を増やす / Djang-use-PostgreSQL
soudai
PRO
0
210
探して_入れて_作って_使う_Agent_Skills___LT.pdf
peintangos
2
180
Featured
See All Featured
No one is an island. Learnings from fostering a developers community.
thoeni
21
3.7k
Gemini Prompt Engineering: Practical Techniques for Tangible AI Outcomes
mfonobong
2
430
Fantastic passwords and where to find them - at NoRuKo
philnash
52
3.7k
AI Search: Where Are We & What Can We Do About It?
aleyda
0
7.6k
Testing 201, or: Great Expectations
jmmastey
46
8.2k
Crafting Experiences
bethany
1
170
Lightning Talk: Beautiful Slides for Beginners
inesmontani
PRO
2
570
Mind Mapping
helmedeiros
PRO
1
240
Large-scale JavaScript Application Architecture
addyosmani
515
110k
JAMstack: Web Apps at Ludicrous Speed - All Things Open 2022
reverentgeek
1
460
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
128
55k
4 Signs Your Business is Dying
shpigford
187
22k
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