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5	Things	every	user	
researcher	must	know
Nancy	Frishberg,	Ph.D.
Research	+	Strategy
for	BAIL	– Bay	Area	Industrial	Linguists
August	31,	2017
Wisdom	for	Second	Language	
Learners
You	already	know	a	language?	It	will	help	learn	
a	2nd	language.	
• You	know	how	to	questions,	make	requests,	
comment	and	issue	a	command.
• You	know	how	to	take	turns	(conversation).
• You	understand	how	to	ask	for	clarification.
• You	recognize	emotion	and	perhaps	intent	
in	spoken	language	(excitement,	boredom,	
exasperation,	joy,	sadness,	anger,	curiosity).
• And,	many	more	useful	things.
Joan	Rubin	taught	me	a	lesson.
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 2
Wisdom	for	non-Academic	Career	
Seekers
How	to	take	linguistics	with	you	when	you’re	
heading	off	to
• Industry.
• Government.
• Non-profits.
Let’s	identify	5	skills,	techniques	or	knowledge	
you	already	have	that	you	can	bring	along	to	a	
career	in	User	Research.
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 3
Only	5	things?
Only	5	in	this	presentation.
Why?	
To	get	to	the	discussion	sooner.
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 4
Behavioral	scientists	bring	value	to	the	
enterprise	by	paying	attention	to	humans
• Not	limited	to	linguistics
• Also	anthropology,	sociology,	psychology,	behavioral	economics
• Not	limited	to	“scientists”	either!
• Theater,	journalism,	languages,	philosophy…
• Qualitative	research	is	the	topic	
• Behavior	is	the	primary	domain	for	User	Research
• Attitudes	and	demographics	are	also	important,	especially	for	market	
research	and	forecasting
• With	as	much	quantitative	as	you	like
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 5
1
Methods	and	skills	that	transfer,	e.g.	Field	studies
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 6
Field	work	produces	a	lot	of	data
Preparing	
• Know	your	biases	and	expectations
• Have	a	script
• Expect	to	diverge	from	your	prepared	
script
Collecting	data
• Interviewing	strangers
• Listening	to	new	stories
• Context	is	important
Analysis
• Finding	themes	and	patterns
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 7
The	challenge	of	a	field	study	is	extracting	
insights	and	trends	across	participants
Tricia	Wang,
technology	ethnographer
Wang	was	able	to	see	trends	in	
Chinese	youth’s	fascination	with	
advertising	for	luxury	items,	
especially	smart	phones.	
However	her	employer	Nokia	
wouldn’t	accept	her	findings,	
because	they	conflicted	with	their	
Big	Data.)
Where’s	Noka now?
https://www.ted.com/talks/tricia_wang_the_human_insights
_missing_from_big_data#t-35220	
(especially	segment	from	4:28-5:05)
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 8
2
Interaction	with	digital	devices	as	conversation
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 9
Conversations	between	machine	&	human
Grice’s	Maxims	for	conversation
These	maxims	apply	in	the	digital	context	also
1. Quantity:	Be	as	informative	as	possible,	but	no	more
2. Quality:	Be	truthful,	giving	no	false	or	unsupported	information
3. Relation:	Be	relevant	and	pertinent	to	the	discussion
4. Manner:	Be	as	clear,	as	brief	and	as	orderly	as	possible;	avoid	
obscurity	and	ambiguity
Principle	of	reciprocity
Take	turns;	offer	something	in	exchange	for	asking	for	something
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 10
”Get	started”	frustrates
“She	became	increasingly	frustrated	as	
the	quiz	continued	asking	questions	
without	providing	any	information	in	
return.	If	you	want	to	attract	users,	
remember	the reciprocity	principle:	Give	
people	the	information	they	need	before	
asking	them	to	answer	multiple	screens	
of	questions	and	share	personal	
information
https://www.nngroup.com/articles/get-started/ Get	Started	is	a	pattern	that	assumes	all	users	are	
here	for	the	same	reason.	
Illustration	from	Splitwise.com
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 11
Steph	Hay,	head	of	
conversational	design
A	former	journalist	who	
knows	about	conversation,	
too.
She’s	offering	a	workshop	
about	conversation	with	the	
goal	of	training	people	to	
design	chat-bots.
Designing	for	conversational	Uis
https://ui.uie.com/workshops/steph-hay
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 12
3
Voice	user	interfaces	(VUI)	and	voice	analytics	
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 13
Audio	cues	to	human	emotion	and	
Audio	signifiers	for	voice	interaction
Ex1: How	to	measure	the	
emotional	content	of	a	
conversation?
Paraphrased	request	to	the	design-user-
research@googlegroups.com
Ex2:	Audio	signifiers	for	voice	
interaction	are	valid	strategies	for	
expediting	voice	commands
• Guessing
• Implicit	signifiers
• Sequential	cues
• Progressive	disclosure	
especially	for	secondary	or	easily	
reversible	commands.
https://www.nngroup.com/articles/audio-signifiers-voice-
interaction/
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 14
What	emotion	recognition	
software	can	we	use	to	measure	
(audio-only)	emotion	in	a	
sensitive	healthcare	situation	
between	patient	and	provider	
discussing	oncology	results?
Amazon	Echo
For	example,	when	Amazon’s	
Echo	detects	its	wake	word	
while	it	is	speaking,	it	pauses	
its	own	speech	to	let	the	user	
know	that	it	is	‘listening’	for	a	
new	command.
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 15
4
Language	shows	up	in	digital	product	interfaces	in	many	ways
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 16
Language	is	central	to	
the	user	experience
We	know	a	lot	about	
• How	to	structure	forms
• How	to	make	instructions	
that	users	can	follow
• How	to	create	content	that	
can	be	skimmed	and	still	
be	meaningful
• How	to	tell	stories,	in	a	
distinctive	“tone	and	
voice”	for	each	brand.	
Ginny	Redish advises
• use	fewer	words
• reduce	ambiguity
• make	it	easy	to	skim	and	scan
• suited	for	web	visitors.
Caroline	Jarrett	makes	forms	that	
• are	easier	to	fill	in,	
• gather	the	information	needed
She	supports	testing	to	assure	
you’ve	met	your	goals.
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 17
5
Problem	definition	and	solution	success	includes	intended	audience
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 18
What	problem	are	we	trying	to	solve?
Has	engineering	or	marketing	run	ahead	
of	its	audience?
Can	linguistics	(or	other	liberal	arts	/	
behavioral	sciences)	bring	the	human	
back	into	the	picture?
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 19
New	Scientist	June	2017
NewAtlas.com August	2017
3D-printable	robot	arm	is	a	
sign	language	interpreter
Smithsonian.com Oct	2015
Case	study:		Devices	for	sign	language	
translation
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 20
Consider	only	the	robotic	arm	example
Assumptions
• A	direct	path	from	fingerspelling	to	signing
- Ignores	movement	(spatial	grammar)	and	
non-manual	expression	(facial	grammar)
• 2-way	communication	can	come	later	
- Deaf	cannot	use	preferred	language
• This	function	requires	no	decision-making
- Interpreters	are	automatons
• Non-engineers	will	be	able	to	fix	the	device
- e.g.,	court	personnel will	troubleshoot	
Robotics	professor	offers	rationale
• Cheaper	(than	an	interpreter)
o3D	printing
oMotors	for	movement
oAnd	thus,	ubiquitous
• Fingerspelling	is	achievable	first	
• Proposed	first	application	
oA	court	interpreter	substitute
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 21
Recommended	
reading
Angus	Grieve-Smith’s
10	Reasons	why	sign-to-
speech	is	not	going	to	be	
practical	any	time	soon													
(April	2016)
https://grieve-smith.com/blog/2016/04/ten-
reasons-why-sign-to-speech-is-not-going-to-
be-practical-any-time-soon/
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 22
Acknowledgements
Thanks	to	
• Miriam	Petruck,	Suzanne	
Wertheim,	Anna	Marie	Trester
for	the	dry	run	in	June,	and	
saying	“yes”	to	face-to-face	
meetings.
• ICSI	for	sharing	space	for	the	
meeting.
• Greg	Bennett,	Dick	Oehrle,	Sue	
Steele	for	help	in	refining	5	
things	on	the	way	here.
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 23
5	more	things
A	bonus!
But	wait!	There’s	more…
We’ve	discussed	how	at	least	5	skills	
and	kinds	of	knowledge	you’ve	
acquired	in	academia	can	be	
repurposed	for	jobs	– in	industry,	
government,	non-profits.
Let’s	consider	what’s	different	and	
what	you	might	adjust	in	order	to	
succeed	in	business	or	other	non-
academic	endeavors.	
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 25
u Different	reward	system
In	academia	
• At	an	R1	university,	original	research	
and	publications	count.	So	do	grants	
and	contracts.
• For	adjuncts	or	those	at	a	
community	college,	you’re	too	
busy	teaching	for	research	or	
publishing.
• You	publish	in	refereed	journals.	
• You’re	used	to	recognition	for	
individual	accomplishments.
In	industry
• You’re	likely	to	be	rewarded	for	
releasing	a	product,	especially	a	major	
release.
• Patents	are	another	form	of	IP,	with	
the	potential	for	income.	Learn	about	
them.
• Team	efforts	– collaboration	- valued	
as	much	as	solo	efforts.
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 26
v Oranges	are	not	the	only	fruit
• Language	is	only	one	part	the	
communication	system	for	products	
and	services.	It	shows	up	in
• Instructions/help	text,	Labels
• Content,	Names
• L10n	and	i18n*
• Language	is	only	one	kind	of	data	in	
user	research	activities
• What	people	say	is	important
• What	users	call	things	is	key	to	
understanding	their	mental	
models
• Visual	/	graphical	systems	are	powerful	
influencers	of	behavior	and	recall
• Layout,	white	space
• Icons	& buttons,	imagery,	color,	font
• Sizes,	shapes,	textures
• Observing	behavior	is	the	key	to	user	
research
• What	people	do	and	have	done	is	
more	important,	than	what	they	like
• The	scent	of	information	guides	
action
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 27
w User	research	isn’t	always	about	findings
• Goal?	Generate	buy-in	from	
stakeholders	in	advance	of	research
Socialize	the	findings	in	order	to	
implement	the	direction	or	changes	
as	indicated	from	the	research.	
• Your	ability	to	make	strong	arguments	
using	data	and	evidence	is	useful	in	
persuading	DM1	(aka	HiPPO)	to	make	
the	right	decision.
• Communicate	using	the	system	that	
fits	your	team
Abandon	the	long-form	report?
Use	bug	tracking	system?
Interpretive	dance?	
Make	sure	your	items	get	the	right	
prioritization	to	be	on	the	schedule.
• Your	measures	of	success?
Research	results	influence	the	
product	roadmap	
Business	goals	align	with	what	
you’ve	learned.
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 28
x Framing	is	key
• Academics	and	industry	folks	
have	different	jargons.	
Use	the	appropriate	terminology	for	
your	business’s	culture	– speak	to	
your	audience	in	their	language.
• Use	all	the	tools	available	to	
signal	and	understand	the	
framing
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 29
y What’s	the	objective	of	research?
• You’ll	be	good	at	the	literature	search,	
but	it’s	a	miniscule	part	of	the	effort.
• Goal	of	research	may	be	something	
other	than	“determine	accurate	
results.”
• You	can	create	cohesion.
Turn	your	fragmented	or	distracted	
audience	to	a	unified	group.
• You	can	extract	unmentioned	
assumptions.
• You	can	understand	the	audience	
better.
Have	deeper	impact	and	greater	
perceived	value.
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 30
Summary
• User	Research	is	one	avenue	to	
apply	linguistics	(and	other	
behavioral	sciences)	in	industry.
• Linguists	are	already	prepared	to	
contribute	our	skills,	techniques	
and	knowledge	to	business,	
government	and	non-profits
…as	are	many	others	with	education	
in	humanities	and	social	sciences.
Contact	information:
Nancy	Frishberg,	PhD.
nancyf@fishbird.com
@nancyf
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 31
Addendum
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 32
Next	steps
Participants	responded	to	3	prompts	at	the	close	of	the	meeting:
• Most	important	idea	today
• One	question	remaining
• Next	BAIL	meeting	topic
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 33
Most	important	idea	from	this	meeting
• Test	everything
• New	to	the	workspace
• I	have	many	skills	that	I	can	use	as	
a	UXr
• Pausing	with	screen	readers
• Fieldwork	is	widely	applicable
• Interaction	with	digital	devices	is	
like	a	conversation
• Tolerance	for	ambiguity
• Importance	of	humans	as	the	
focus	of	industrial	work/research
• Interest
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 34
One	specific	question	that	remains
• How	to	find	clients?
• How	do	I	get	(an)	in?
• Resources	for	linguists-turned-UX	researchers
• How	do	I	pitch	my	specific	skills	in	a	way	that	excites	employers?
• Where	should	I	be	networking	to	meet	UX	folks?
• Do	I	need	graphics	skills	(as	seen	in	some	job	descriptions)	to	get	a	
job	in	the	UX	field?	(If	so,	what?)	
• How	to	avoid	or	manage	academic	tendencies?
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 35
Suggestions	of	topics	for	next	BAIL	meeting
• Chatbots
• Evolution	of	UX
• How	linguistic	tools	can	change	
UX	research
• Naming/branding
• Voice	&	Tone
• Storytelling
• Ethnographic	research	in	product	
lifecycle
• Phonetics	&	phonology	in	
industry
• Conversational	interfaces
• Applying	OT	or	other	theories
• Career	trajectories	(of	linguists	in	
industry)
To	be	determined	from	results	of	survey	to	the	BAIL	
mailing	list,	following	up	on	the	8/31	meeting.
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 36
Track	BAIL	to	learn	what	we’ll	talk	about	next
… and	where	and	when
• Google	group:		
https://groups.google.com/group/ba-industrial-linguists
• Facebook	page:	
https://www.facebook.com/BayAreaIndustrialLinguists/
Frishberg	•	User	Research	•	BAIL	– Bay	Area	Industrial	Linguists 37

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5 things every user researcher must know

Editor's Notes

  1. Greg Bennett adds: Sociolinguistic field methods are great for mapping to a user research toolkit--ethnography, sociolinguistic interviewing, discourse analysis, surveys, etc. They translate to contextual inquiry, field visits, interviews, card sorting, and more.
  2. And, https://ui.uie.com/workshops/steph-hay Conversational UI workshop with Steph Hay
  3. Note: Plain language is not Basic English http://www.plainlanguage.gov/ vs https://en.wikipedia.org/wiki/Basic_English
  4. *translation? Localization and internationalization Notice the number of letters between 1st and last. In speech “el-ten-en” and “eye-eighteen-en”which is not phonetic notation, but aimed at a general audience
  5. DM1 = Top decision-maker HiPPO = HIghest Paid Person’s Opinion