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From Linear Books to
an Open World Adventure
A case study of taxonomy to drive interactive,
personalized reader experiences
Joe Pairman
Complex
product
range,
with
complex
docs to
match
Made searchable
and scalable
through taxonomy
The starting point: legacy, book-
oriented XML format (DocBook)
Making content more searchable
and helpful
Taskonomy: simplifying by
focusing on user tasks
Taskonomy: simplifying by
focusing on user tasks
Top-level	tasks:
~ Bridge	roles,	tools,	and	environments
~ Roughly	correspond	to	lifecycle
Top-level tasks used to unify the content
Insight deep in the hierarchy
Users	needed	to	see	content	related	to	their	task…
Insight deep in the hierarchy
Users	needed	to	see	content	related	to	their	task…
…detailed	procedures	but	also overviews/	scenarios
Insight deep in the hierarchy
Users	needed	to	see	content	related	to	their	task…
…detailed	procedures	but	also overviews/	scenarios
Insight deep in the hierarchy
Users	needed	to	see	content	related	to	their	task…
…detailed	procedures	but	also overviews/	scenarios
Re-architecting content:
a user goal or session per page / URL
Re-architecting
content:
a user goal
or session
per page /
URL
Re-architecting
content:
a user goal
or session
per page /
URL
~ Good	for	users
~ Good	for	Google
~ Good	for	site	
search/browsing
Focused pages reduce duplication & effort
~ From	a	comprehensive	user	
guide	per	product
Focused pages reduce duplication & effort
~ From	a	comprehensive	user	
guide	per	product
~ To	a	single	instance	of	each	task,	
reducing	product-specific	
instructions	to	installs,	etc.
Focused pages reduce duplication & effort
~ From	a	comprehensive	user	
guide	per	product
~ To	a	single	instance	of	each	task,	
reducing	product-specific	
instructions	to	installs,	etc.
~ Even	minor	differences	covered	
by	generalizing	or	labels
Consistency and efficiency
Talend still need some similar pages
As before, variants managed by “profiling”
Now, profiling sourced from taxonomy
Now, profiling sourced from taxonomy
Now, profiling sourced from taxonomy
Consistent, efficient, and queryable content
Simple recommendations,
based on taxonomy
Google often gets users to the right area, but
~ there	also	needed	to	be	relevant	links	between	related	pages
~ user	may	land	on:
– Wrong	product	variant	/	version
– Detailed	procedures	(when	they	need	to	understand	the	system	a	bit	
first)
~ user	often	simply	needs	to	research	more	for	a	full	picture
Logic for auto
related links
~ More	relevant	than	
fully	automated	
related	links
– Human-constructed	
thesaurus
– Human	input	in	
tagging
~ Far	less	creation	&	
maintenance	effort	
than	manual	links
“Personal books”
Lessons learned
Lessons learned
~ Such	rich,	granular	tagging	requires	a	good	team,	good	training,	
and	a	consistent	body	of	content
– But	it	can	be	achieved	by	normal	human	authors
~ Always	good	to	start	simple,	less	coupled,	lightly	integrated
– But	know	that	many	content	tools	are	weak	at	taxonomy/semantics,	
and	plan	accordingly
~ Taxonomy	and	interaction	design	may	well	need	revisited
– Example:	expectations	around	product	and	module	facets
Products and their modules
Products and their modules
Last lesson: there’s always more you can do
— once content’s appropriately annotated
Version	6.0
Version	6.4
but content	is	tagged	with	
version,	so	there’s	a	base	
for	logic	to	point	Google	
to	the	“canonical”	page
The result
Working	with	a	taxonomy	enables	us	to	bridge	silos	between	
cross-format,	heterogeneous	pieces	of	content.	
It	is	the	centerpiece	of	our	top-down	and	bottom-up	navigation.	
Relations	between	concepts	can	be	leveraged	at	any	stage	of	the	
documentation	workflow:	at	authoring	time,	before	publishing	and	
also	to	check	online	content.
~ François	Violette,	Information	Architect,	Talend
Questions / suggestions?
~ joepairman@mekon.com
~ @joepairman

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From Linear Books to an Open World Adventure: A case study of taxonomy to drive interactive reader experiences