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

113,946 views ・ 2018-08-20

TED


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Translator: Kamilla Christiansen Reviewer: Anders Finn Jørgensen
00:12
We live in a world where the collection of data
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Vi lever i en verden, hvor data indsamles
00:15
is happening 24 hours a day, seven days a week,
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alle 24 timer i døgnet, 7 dage om ugen,
00:17
365 days a year.
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365 dage om året.
00:20
This data is usually collected by what we call a front-desk specialist now.
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Denne data samles ofte ind af kundeservicemedarbejdere.
00:25
These are the retail clerks at your favorite department stores,
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Det kan være butiksassistenten i din yndlingsbutik,
00:28
the cashiers at the grocery stores,
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kassemedarbejderen i supermarkedet,
00:30
the registration specialists at the hospital
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sekretæren i modtagelsen på hospitalet
00:33
and even the person that sold you your last movie ticket.
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eller personen der solgte dig din seneste biografbillet.
00:36
They ask discreet questions, like: "May I please have your zip code?"
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De stiller diskrete spørgsmål som: "Må jeg få dit postnummer?"
00:40
Or, "Would you like to use your savings card today?"
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Eller, "Vil du benytte dit kreditkort?"
00:44
All of which gives us data.
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Og det hele giver os data.
00:46
However, the conversation becomes a little bit more complex
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Men samtalen bliver lidt mere kompleks,
00:51
when the more difficult questions need to be asked.
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når sværere spørgsmål skal stilles.
00:54
Let me tell you a story, see.
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Lad mig fortælle dig en historie:
00:56
Once upon a time, there was a woman named Miss Margaret.
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Der var en gang en kvinde, der hed Margaret.
00:59
Miss Margaret had been a front-desk specialist
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Margaret havde været kundeservicemedarbejder
01:01
for almost 20 years.
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i næsten 20 år.
01:03
And in all that time, she has never, and I do mean never,
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Og i alle disse år havde hun aldrig, aldrig nogensinde,
01:07
had to ask a patient their gender, race or ethnicity.
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været nødt til at bede en patient oplyse køn, race eller etnicitet.
01:10
Because, see, now Miss Margaret has the ability to just look at you.
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For ser du, Margaret kunne bare tage et kig på dig.
01:14
Uh-huh.
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Nemlig.
01:15
And she can tell if you are a boy or a girl,
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Og hun kunne se om du var en dreng eller en pige,
01:18
black or white, American or non-American.
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sort eller hvid, amerikaner eller ej.
01:21
And in her mind, those were the only categories.
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Og i hendes hoved var det alle kategorier der fandtes.
01:24
So imagine that grave day,
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Så forestil dig den dag
01:26
when her sassy supervisor invited her to this "change everything" meeting
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hendes frække chef inviterede hende til et "total forandrings-møde"
01:31
and told her that would have to ask each and every last one of her patients
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og fik hende til at bede hver eneste patient,
01:35
to self-identify.
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om at identificere sig selv.
01:36
She gave her six genders, eight races and over 100 ethnicities.
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Hun gav hende 6 køn, 8 racer og mere end 100 etniciteter.
01:41
Well, now, Miss Margaret was appalled.
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Nu var Margaret forarget.
01:44
I mean, highly offended.
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Virkelig dybt forulempet.
01:45
So much so that she marched down to that human-resource department
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Så meget, at hun marcherede ned til HR-afdelingen
01:48
to see if she was eligible for an early retirement.
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for at høre, om hun ikke kunne gå på tidlig pension.
01:51
And she ended her rant by saying
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Og hun afsluttede sin tale med at sige,
01:53
that her sassy supervisor invited her to this "change everything" meeting
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at hendes frække chef inviterede hende til "total forandrings-mødet"
01:58
and didn't, didn't, even, even
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uden at, uden overhovedet at
02:00
bring, bring food, food, food, food.
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at tage, tage mad med, mad, mad, mad.
02:03
(Laughter)
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(Latter)
02:04
(Applause) (Cheers)
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(Klapsalve)
02:10
You know you've got to bring food to these meetings.
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Alle ved at man skal tage mad med til de møder.
02:13
(Laughter)
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(Latter)
02:15
Anyway.
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Lige meget.
02:16
(Laughter)
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(Latter)
02:18
Now, that was an example of a healthcare setting,
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Det var et eksempel fra sundhedsplejen,
02:21
but of course, all businesses collect some form of data.
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men selvfølgelig indsamler alle virksomheder nogen form af data.
02:24
True story: I was going to wire some money.
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Sand historie: Jeg skulle overføre nogle pengle.
02:28
And the customer service representative asked me
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Og kundeservicemedarbejderen spurgte mig,
02:30
if I was born in the United States.
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om jeg var født i USA.
02:33
Now, I hesitated to answer her question,
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Jeg tøvede lidt, inden jeg svarede,
02:35
and before she even realized why I hesitated,
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og før hun overhovedet indså, hvorfor jeg tøvede,
02:38
she began to throw the company she worked for under the bus.
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havde hun undergravet firmaet, hun arbejdede for.
02:42
She said, "Girl, I know it's stupid, but they makin' us ask this question."
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Hun sagde, "Du, jeg ved det er dumt, men de får os til at spørge."
02:47
(Laughter)
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(Latter)
02:48
Because of the way she presented it to me,
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Fordi hun fremlagde det sådan for mig,
02:50
I was like, "Girl, why?
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spurgte jeg, "Hvorfor?
02:52
Why they makin' you ask this question?
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Hvorfor får de jer til at spørge?
02:54
Is they deportin' people?"
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Vil de udvise folk?"
02:56
(Laughter)
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(Latter)
02:58
But then I had to turn on the other side of me,
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Men så tændte jeg den anden side af mig selv,
03:01
the more professional speaker-poet side of me.
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den mere professionelle taler-poet-side.
03:04
The one that understood that there were little Miss Margarets all over the place.
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Den som forstod, at der var mange små Margareter derude.
03:08
People who were good people, maybe even good employees,
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Gode mennesker, måske også gode medarbejdere,
03:11
but lacked the ability to ask their questions properly
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som manglede evnen til at stille sine spørgsmål godt,
03:14
and unfortunately, that made her look bad,
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og desværre kom til at se dårlige ud,
03:16
but the worst, that made the business look even worse
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men endnu værre, fik deres firma til at se endnu dårligere ud
03:20
than how she was looking.
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end hun gjorde.
03:22
Because she had no idea who I was.
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For hun havde ingen anelse om, hvem jeg er.
03:24
I mean, I literally could have been a woman who was scheduled to do a TED Talk
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Jeg kunne være en kvinde, der skulle holde en TED Talk
03:27
and would use her as an example.
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og ville bruge hende som eksempel.
03:29
Imagine that.
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Tænk dig det.
03:30
(Applause)
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(Klapsalve)
03:35
And unfortunately,
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Og desværre,
03:36
what happens is people would decline to answer the questions,
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leder det til at folk ikke vil svare på spørgsmålene,
03:39
because they feel like you would use the information
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fordi de føler, at informationen vil blive brugt
03:41
to discriminate against them,
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til at diskriminere dem,
03:43
all because of how you presented the information.
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alene på grund af måden, du præsenterede det.
03:45
And at that point, we get bad data.
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Og sådan får vi dårlig data.
03:47
And everybody knows what bad data does.
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Og alle ved, hvad dårlig data gør.
03:49
Bad data costs you time, it costs you money
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Dårlig data koster dig tid, koster dig penge
03:52
and it costs you resources.
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og koster dig ressourcer.
03:54
Unfortunately, when you have bad data,
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Desværre, når du har dårlig data,
03:56
it also costs you a lot more,
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koster det dig også meget mere,
04:00
because we have health disparities,
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fordi vi har sundhedsforskelle,
04:02
and we have social determinants of health,
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og sociale helbredsfaktorer,
04:04
and we have the infant mortality,
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og dødelighed blandt børn,
04:06
all of which depends on the data that we collect,
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som alle afhænger af dataen, vi indsamler,
04:09
and if we have bad data, than we have those issues still.
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og hvis vi har dårlig data, så har vi fortsat disse problemer.
04:12
And we have underprivileged populations
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Vi har underpriviligerede befolkninger,
04:14
that remain unfortunate and underprivileged,
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der forbliver uheldige og underpriviligerede
04:17
because the data that we're using is either outdated,
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fordi dataen vi bruger enten er forældet
04:21
or is not good at all or we don't have anything at all.
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eller slet ikke god nok, eller overhovedet ikke eksisterer.
04:24
Now, wouldn't it be amazing if people like Miss Margaret
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Så ville det ikke være fantastisk, hvis folk som Margaret
04:27
and the customer-service representative at the wiring place
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og kundeservicemedarbejdere hos pengeinstitutioner
04:30
were graced to collect data with compassionate care?
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var "graced" til at indsamle data med pleje og medfølelse?
04:35
Can I explain to you what I mean by "graced?"
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Må jeg forklare, hvad jeg mener med "graced"?
04:38
I wrote an acrostic poem.
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Jeg skrev et akrostikon.
04:40
G: Getting the front desk specialist involved and letting them know
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G: Gør medarbejderen involveret og i stand til at forstå
04:45
R: the Relevance of their role as they become
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R: Relevancen deres rolle har, når de bliver
04:49
A: Accountable for the accuracy of data while implementing
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A: Ansvarlige for nøjagtigheden af dataen, imens de viser
04:52
C: Compassionate care within all encounters by becoming
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C: omsorg ved alle kontaktpunkter, ved at blive
04:56
E: Equipped with the education needed to inform people
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E: udrustede med uddannelsen det kræver, for at informere folk
05:00
of why data collection is so important.
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D: om hvorfor Dataindsamling er så vigtig.
05:04
(Applause)
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(Klapsalve)
05:07
Now, I'm an artist.
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Jeg er ikke kunstner.
05:09
And so what happens with me
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Så det der sker med mig,
05:11
is that when I create something artistically,
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når jeg skaber noget kunstnerligt, er,
05:13
the trainer in me is awakened as well.
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at træneren i mig vækkes.
05:15
So what I did was, I began to develop that acrostic poem into a full training
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Så jeg begyndte at udvikle mit akrostikon til træningsprogrammet
05:19
entitled "I'm G.R.A.C.E.D."
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"Jeg er G.R.A.C.E.D."
05:20
Because I remember, being the front-desk specialist,
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For jeg husker, at være kunde-servicemedarbejderen,
05:23
and when I went to the office of equity to start working,
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og da jeg begyndte at arbejde på finanskontoret
05:26
I was like, "Is that why they asked us to ask that question?"
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tænkte jeg "Var det derfor, de stillede det spørgsmål?"
05:30
It all became a bright light to me,
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Alt blev helt tydeligt for mig,
05:31
and I realized that I asked people and I told people about --
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og det gik op for mig, at jeg spurgte folk og fortalte om dem --
05:35
I called them by the wrong gender, I called them by the wrong race,
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Jeg brugte det forkerte køn, jeg kaldte dem ved forkert race.
05:38
I called them by the wrong ethnicity,
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Jeg brugte ikke deres rette etnicitet
05:40
and the environment became hostile,
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og omgivelserne blev fjendtlige,
05:42
people was offended and I was frustrated because I was not graced.
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folk forulempede og jeg frustreret, fordi jeg ikke var "graced".
05:46
I remember my computerized training,
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Jeg husker træningen jeg fik på computer
05:49
and unfortunately, that training did not prepare me to deescalate a situation.
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og desværre forberedte den træning mig ikke på deeskalering.
05:55
It did not prepare me to have teachable moments when I had questions
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Den forberedte mig ikke på at lære noget, når jeg havde spørgsmål
05:58
about asking the questions.
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om at stille spørgsmål.
06:00
I would look at the computer and say, "So, what do I do when this happens?"
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Jeg så på computeren og sagde: "Hvad gør jeg så, når det her sker?"
06:03
And the computer would say ...
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Og computen svarede...
06:05
nothing, because a computer cannot talk back to you.
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Intet. For en computer kan ikke tale tilbage til dig.
06:09
(Laughter)
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(Latter)
06:12
So that's the importance of having someone there
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Derfor er det vigtigt, at have nogen på plads,
06:14
who was trained to teach you and tell you what you do
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som er trænet til at lære dig og fortælle dig, hvad du gør
06:17
in situations like that.
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i den slags situationer.
06:20
So, when I created the "I'm G.R.A.C.E.D" training,
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Så da jeg skabte "Jeg er G.R.A.C.E.D."-træningen,
06:22
I created it with that experience that I had in mind,
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gjorde jeg det på baggrund af min erfaring,
06:25
but also that conviction that I had in mind.
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men også med den overbevisning.
06:28
Because I wanted the instructional design of it
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For jeg ville have et instruktionelt design,
06:30
to be a safe space for open dialogue for people.
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der gav en sikker plads for åben dialog mellem mennesker.
06:33
I wanted to talk about biases,
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Jeg ville snakke om fordomme,
06:35
the unconscious ones and the conscious ones,
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de underbevidste og de bevidste,
06:37
and what we do.
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og hvad vi gør.
06:38
Because now I know that when you engage people in the why,
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For nu ved jeg, at når du giver folk spørgsmålet "hvorfor",
06:42
it challenges their perspective, and it changes their attitudes.
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så udfordrer det deres perspektiver og deres attituder.
06:46
Now I know that data that we have at the front desk
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Nu ved jeg at data, vi indsamler ved frontdisken
06:49
translates into research that eliminates disparities and finds cures.
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oversættes til undersøgelser, der eliminerer ulighed og kurerer.
06:54
Now I know that teaching people transitional change
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Nu ved jeg, at det at lære folk om gradvis forandring,
06:58
instead of shocking them into change
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i stedet for at chokere dem til forandring,
07:00
is always a better way of implementing change.
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altid er en bedre måde, at implementere forandring.
07:04
See, now I know people are more likely to share information
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Nu ved jeg, at folk er mere villige til at dele information,
07:07
when they are treated with respect by knowledgeable staff members.
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når de behandles med respekt af kyndigt personale.
07:11
Now I know that you don't have to be a statistician
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Nu ved jeg, at du ikke skal være statistiker
07:14
to understand the power and the purpose of data,
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for at forstå kraften i og formålet med data,
07:17
but you do have to treat people with respect and have compassionate care.
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men at den kræver, at du udviser omsorg og respekt for folk.
07:21
Now I know that when you've been graced,
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Nu ved jeg, at når du er "graced",
07:24
it is your responsibility to empower somebody else.
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så er det dit ansvar at give andre kraft.
07:27
But most importantly, now I know
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Men vigtigst af alt, nu ved jeg,
07:30
that when teaching human beings
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at når man lærer mennesker
07:32
to communicate with other human beings,
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at kommunikere med andre mennesker,
07:35
it should be delivered by a human being.
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bør læringen komme fra et menneske.
07:40
(Applause)
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(Klapsalve)
07:46
So when y'all go to work
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Så når I går på arbejde
07:48
and y'all schedule that "change everything" meeting --
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og planlægger det der "total forandrings-møde" --
07:52
(Laughter)
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(Latter)
07:53
remember Miss Margaret.
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Så husk Margaret.
07:55
And don't forget the food, the food, the food, the food.
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Og glem ikke maden, maden, maden, maden.
08:00
Thank you.
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Tak skal I have.
08:01
(Applause) (Cheers)
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(Klapsalve)
08:06
Thank you.
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Tak.
08:07
(Applause)
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(Klapsalve)
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