How to train employees to have difficult conversations | Tamekia MizLadi Smith

111,096 views ・ 2018-08-20

TED


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譯者: Lilian Chiu 審譯者: SF Huang
00:12
We live in a world where the collection of data
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在我們所居住的世界, 資料的收集從沒停止過,
00:15
is happening 24 hours a day, seven days a week,
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一天二十四小時,一週七天,
00:17
365 days a year.
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一年三百六十五天。
00:20
This data is usually collected by what we call a front-desk specialist now.
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收集的資料通常都是由 所謂的櫃檯接待專員來負責。
00:25
These are the retail clerks at your favorite department stores,
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這些人包括你最愛的 百貨公司零售店員、
00:28
the cashiers at the grocery stores,
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雜貨店的收銀員、
00:30
the registration specialists at the hospital
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醫院的掛號人員,
00:33
and even the person that sold you your last movie ticket.
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甚至是上次你去看電影時 賣票給你的人。
00:36
They ask discreet questions, like: "May I please have your zip code?"
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他們小心翼翼地詢問,比如: 「能不能給我您的郵遞區號?」
00:40
Or, "Would you like to use your savings card today?"
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或「您今天是要用金融卡嗎?」
00:44
All of which gives us data.
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這些問題都能提供我們所需的資料。
00:46
However, the conversation becomes a little bit more complex
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然而,當詢問的問題更具難度時,
00:51
when the more difficult questions need to be asked.
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溝通就會變得更複雜了。
00:54
Let me tell you a story, see.
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讓我跟各位說個故事。
00:56
Once upon a time, there was a woman named Miss Margaret.
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很久很久以前,有位 名叫瑪格麗特小姐的女士。
00:59
Miss Margaret had been a front-desk specialist
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瑪格麗特小姐擔任櫃檯接待專員
01:01
for almost 20 years.
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近二十年的時間。
01:03
And in all that time, she has never, and I do mean never,
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在那段期間,她從來 不需要問病人的性別、
01:07
had to ask a patient their gender, race or ethnicity.
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種族或族群,真的從來不需要。
01:10
Because, see, now Miss Margaret has the ability to just look at you.
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因為,瑪格麗特小姐 有能力只要看著你。
01:14
Uh-huh.
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嗯哼。
01:15
And she can tell if you are a boy or a girl,
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接著她就能分辨 你是男生還是女生、
01:18
black or white, American or non-American.
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黑人還是白人、 美國人還是非美國人。
01:21
And in her mind, those were the only categories.
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在她的腦中也只有這些類別。
01:24
So imagine that grave day,
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所以,想像在某個陰霾的日子裡,
01:26
when her sassy supervisor invited her to this "change everything" meeting
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她無禮的主管邀請她參加 名為「改變一切」的會議,
01:31
and told her that would have to ask each and every last one of her patients
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並告訴她必須要求每一個病人
01:35
to self-identify.
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表明自我認同與身份。
01:36
She gave her six genders, eight races and over 100 ethnicities.
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主管給了她六種性別、 八個種族和超過一百多個族群。
01:41
Well, now, Miss Margaret was appalled.
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現在,換瑪格麗特小姐目瞪口呆了。
01:44
I mean, highly offended.
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我是說,她被嚴重地冒犯了。
01:45
So much so that she marched down to that human-resource department
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嚴重到她走到人力資源部門
01:48
to see if she was eligible for an early retirement.
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詢問她是否符合提早退休的資格。
01:51
And she ended her rant by saying
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而且她怒氣沖沖叫嚷的最後,
01:53
that her sassy supervisor invited her to this "change everything" meeting
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是以她無禮的主管邀請她去參加 這場「改變一切」的會議,
01:58
and didn't, didn't, even, even
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竟然......竟然...... 沒有......沒有......
02:00
bring, bring food, food, food, food.
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帶......帶...... 食物...... 來做結尾。
02:03
(Laughter)
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(笑聲)
02:04
(Applause) (Cheers)
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(掌聲)(歡呼)
02:10
You know you've got to bring food to these meetings.
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這類會議是不能少了食物的。
02:13
(Laughter)
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(笑聲)
02:15
Anyway.
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總之。
02:16
(Laughter)
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(笑聲)
02:18
Now, that was an example of a healthcare setting,
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剛剛的例子是發生在 醫療保健的情況,
02:21
but of course, all businesses collect some form of data.
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但當然,所有的企業 都會收集某種形式的資料。
02:24
True story: I was going to wire some money.
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真實故事:我打算要去匯款。
02:28
And the customer service representative asked me
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客服人員問我
02:30
if I was born in the United States.
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是否是在美國出生。
02:33
Now, I hesitated to answer her question,
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我正猶豫著是否要回答她的問題,
02:35
and before she even realized why I hesitated,
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而她在搞懂我為什麼猶豫前,
02:38
she began to throw the company she worked for under the bus.
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就開始把錯都丟給她的公司了。
02:42
She said, "Girl, I know it's stupid, but they makin' us ask this question."
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她說:「女孩,我知道這問題很蠢, 但是他們逼我們要問的。」
02:47
(Laughter)
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(笑聲)
02:48
Because of the way she presented it to me,
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因為她對我說話的方式,
02:50
I was like, "Girl, why?
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我也依樣畫葫蘆 回說:「女孩,為什麼?
02:52
Why they makin' you ask this question?
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為什麼他們要逼你問這種問題?
02:54
Is they deportin' people?"
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他們要驅逐誰嗎?」
02:56
(Laughter)
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(笑聲)
02:58
But then I had to turn on the other side of me,
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但接著,我得要展現出我的另一面,
03:01
the more professional speaker-poet side of me.
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比較專業的演說詩人家的那ㄧ面。
03:04
The one that understood that there were little Miss Margarets all over the place.
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表現出我了解到處 都有像瑪格麗特小姐的人。
03:08
People who were good people, maybe even good employees,
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他們都是好人,也許還是好員工,
03:11
but lacked the ability to ask their questions properly
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但缺乏適當的提問能力,
03:14
and unfortunately, that made her look bad,
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不幸的,會讓她看起來很失禮,
03:16
but the worst, that made the business look even worse
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但更糟的是,會讓公司看起來
比她還要差勁。
03:20
than how she was looking.
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03:22
Because she had no idea who I was.
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因為她不知道我是誰。
03:24
I mean, I literally could have been a woman who was scheduled to do a TED Talk
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我的意思是,我可能是個 已經排定要上 TED 演說
03:27
and would use her as an example.
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且會把她拿來當做例子的人。
03:29
Imagine that.
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想像看看。
03:30
(Applause)
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(掌聲)
03:35
And unfortunately,
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不幸的是,
03:36
what happens is people would decline to answer the questions,
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通常的狀況是大家會拒絕回答問題,
03:39
because they feel like you would use the information
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因為他們覺得你會 用那資訊來歧視他們,
03:41
to discriminate against them,
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這全是因為你詢問資訊的方式不妥。
03:43
all because of how you presented the information.
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03:45
And at that point, we get bad data.
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這時,我們就會得到壞數據。
03:47
And everybody knows what bad data does.
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大家都知道有了壞數據會怎樣。
03:49
Bad data costs you time, it costs you money
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壞數據會浪費你投入的時間、金錢
03:52
and it costs you resources.
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和資源。
03:54
Unfortunately, when you have bad data,
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不幸的是,當你取得壞數據,
03:56
it also costs you a lot more,
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你付出的代價還更高,
04:00
because we have health disparities,
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因為我們有健康差距,
04:02
and we have social determinants of health,
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我們有健康的社會決定因素,
04:04
and we have the infant mortality,
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我們有嬰兒死亡率,
04:06
all of which depends on the data that we collect,
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這些都要仰賴我們收集的資料,
04:09
and if we have bad data, than we have those issues still.
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如果我們取得壞數據, 我們就仍然有那些議題。
04:12
And we have underprivileged populations
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那些弱勢族群的人口,
04:14
that remain unfortunate and underprivileged,
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就一直無法翻轉貧困的不幸命運,
04:17
because the data that we're using is either outdated,
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因為我們使用的資料 若不是過時的,
04:21
or is not good at all or we don't have anything at all.
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就是無效的,再不然 就是什麼資料也沒蒐集到。
04:24
Now, wouldn't it be amazing if people like Miss Margaret
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如果像瑪格麗特小姐這樣的人
04:27
and the customer-service representative at the wiring place
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及匯款的客服人員,
04:30
were graced to collect data with compassionate care?
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能帶著仁慈的關懷來優雅地 收集資料,不是很好嗎?
04:35
Can I explain to you what I mean by "graced?"
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能讓我解釋我所謂的 「優雅(GRACED)」嗎?
04:38
I wrote an acrostic poem.
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我寫了首藏頭詩 (將想表達的意思藏於行首字母)。
04:40
G: Getting the front desk specialist involved and letting them know
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G:讓櫃檯接待專員參與並知悉
04:45
R: the Relevance of their role as they become
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R:他們職務角色所具的攸關性
04:49
A: Accountable for the accuracy of data while implementing
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A:在執行時要為資料的精確性負責
04:52
C: Compassionate care within all encounters by becoming
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C:與人的互動中帶著仁慈的關懷,
04:56
E: Equipped with the education needed to inform people
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E:具備所需的知識來告知人們為何
05:00
of why data collection is so important.
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D:資料的收集是如此重要。
05:04
(Applause)
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(掌聲)
05:07
Now, I'm an artist.
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我是藝術家。
05:09
And so what happens with me
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我的狀況是
05:11
is that when I create something artistically,
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當我創作出有藝術性的作品時,
05:13
the trainer in me is awakened as well.
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我內在的訓練官也被喚醒。
05:15
So what I did was, I began to develop that acrostic poem into a full training
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所以我開始將藏頭詩 發展成完整的培訓計畫,
05:19
entitled "I'm G.R.A.C.E.D."
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叫做「我很優雅(GRACED)」。
05:20
Because I remember, being the front-desk specialist,
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因為我記得身為櫃檯接待專員時,
05:23
and when I went to the office of equity to start working,
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當我去平權辦事處開始工作,
05:26
I was like, "Is that why they asked us to ask that question?"
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我心想:「那就是為何他們需要 我們去問那個問題的理由嗎?」
05:30
It all became a bright light to me,
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我才豁然開朗,
05:31
and I realized that I asked people and I told people about --
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我了解到,我問人們 且我告訴人們——
05:35
I called them by the wrong gender, I called them by the wrong race,
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我稱呼他們時用錯了性別, 我稱呼他們時用錯了種族,
05:38
I called them by the wrong ethnicity,
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我稱呼他們時用錯了人種,
05:40
and the environment became hostile,
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便會處在充滿敵意的氛圍中,
05:42
people was offended and I was frustrated because I was not graced.
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因為我的不優雅,使人們感到被冒犯 而我則覺得挫折沮喪。
05:46
I remember my computerized training,
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我記得我的電腦化訓練,
05:49
and unfortunately, that training did not prepare me to deescalate a situation.
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不幸的是,那訓練並沒有 使我有能力讓緊繃的情況逐漸緩和。
05:55
It did not prepare me to have teachable moments when I had questions
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那訓練無法在我提問遇到困難時,
05:58
about asking the questions.
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指引我找出解決的方法。
06:00
I would look at the computer and say, "So, what do I do when this happens?"
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我會看著電腦,說:「當這狀況 發生時,我要怎麼做?」
06:03
And the computer would say ...
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而電腦會……
06:05
nothing, because a computer cannot talk back to you.
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什麼都不說,因為 電腦不會回你的話。
06:09
(Laughter)
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(笑聲)
06:12
So that's the importance of having someone there
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所以,有個受過訓練、能夠教你
06:14
who was trained to teach you and tell you what you do
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並指導你如何隨機應變的人,
06:17
in situations like that.
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是很重要的。
06:20
So, when I created the "I'm G.R.A.C.E.D" training,
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所以,當我在做 「我很優雅」的訓練課程時,
06:22
I created it with that experience that I had in mind,
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我用的是我腦中的經驗,
06:25
but also that conviction that I had in mind.
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還有我腦中的信念。
06:28
Because I wanted the instructional design of it
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因為我希望它的教學設計
06:30
to be a safe space for open dialogue for people.
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是個可讓大家坦誠對話的安全空間。
06:33
I wanted to talk about biases,
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我想要談論偏見,
06:35
the unconscious ones and the conscious ones,
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無意識的偏見和有意識的偏見,
06:37
and what we do.
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及我們該如何做。
06:38
Because now I know that when you engage people in the why,
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因為現在我知道, 讓大家知道「為什麼」,
06:42
it challenges their perspective, and it changes their attitudes.
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可以挑戰他們的觀點, 並改變他們的態度。
06:46
Now I know that data that we have at the front desk
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現在我知道我們在櫃台取得的資料,
06:49
translates into research that eliminates disparities and finds cures.
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會轉變為研究數據 用以消除差異並找到對策。
06:54
Now I know that teaching people transitional change
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現在我知道,用教導的方式來協助 員工完成過渡期的改變,
06:58
instead of shocking them into change
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而非使用突如其來、 讓人措手不及的激進式改變,
07:00
is always a better way of implementing change.
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才是執行變革能夠成功的良方。
07:04
See, now I know people are more likely to share information
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現在我知道, 當人們被訓練有素的工作人員
07:07
when they are treated with respect by knowledgeable staff members.
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以尊重的態度來對待時, 較有可能吐露自己的資料。
07:11
Now I know that you don't have to be a statistician
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現在我知道你不需要是統計學家,
07:14
to understand the power and the purpose of data,
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也能了解資料的力量和目的,
07:17
but you do have to treat people with respect and have compassionate care.
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但你一定要帶著尊重 與仁慈的關懷來待人。
07:21
Now I know that when you've been graced,
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現在我知道,當你能很優雅時,
07:24
it is your responsibility to empower somebody else.
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你就有責任要讓其他人也能夠如此。
07:27
But most importantly, now I know
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但最重要的是,現在我知道,
07:30
that when teaching human beings
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若要教導
07:32
to communicate with other human beings,
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人與人之間如何溝通,
07:35
it should be delivered by a human being.
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這件事應該要由人類來做。
07:40
(Applause)
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(掌聲)
07:46
So when y'all go to work
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所以,當你們去工作,
07:48
and y'all schedule that "change everything" meeting --
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且安排了那「改變一切」的會議——
07:52
(Laughter)
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(笑聲)
07:53
remember Miss Margaret.
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別忘了瑪格麗特小姐。
07:55
And don't forget the food, the food, the food, the food.
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也別忘了食物、食物、食物、食物。
08:00
Thank you.
161
480103
1151
謝謝。
08:01
(Applause) (Cheers)
162
481278
5475
(掌聲)(歡呼)
08:06
Thank you.
163
486777
1175
謝謝。
08:07
(Applause)
164
487976
1595
(掌聲)
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