SlideShare ist ein Scribd-Unternehmen logo
1 von 27
Downloaden Sie, um offline zu lesen
The inabiliy to find information is consistently the most called out issue within the
Enterprise. This is because, most of the time, a very good enterprise search engine has
not been configured to live up to its potential. This is a triple pity because:
1. Enterprise search affords the most opportunity for direct intervention to impact
    performance
2. The user group is readily available and eager to offer feedback and fix the problem
3. Enterprise search engines provide rich user data and other reports to help with
    refinement and revision




                                                                                          1
2
Xerox UK study: July 2009 http://www.pitchengine.com/xeroxcorporation/xerox-
survey-finds-information-overload-a-hinder-to-electronic-health-records-/15485/

People are more frustrated with searching for information than being stuck in traffic –
that is what we’re up against in the enterprise. And, search is more painful in the
enterprise because the searcher takes longer to give up. They know “it” is out there
and will keep looking far longer than they would in a Web search. And, search in the
enterprise is more costly because of this additional time and what the searcher does
when they cannot find what they are looking for:
• Randomize a co-worker for help ($)
• Use an older version of the document ($$)
• Recreate what they looking for ($$$)
• Give up and go without the information that they need ($$)




                                                                                          3
Using the Internet: Skill Related Problems in User Online Behavior; van Deursen & van Dijk; 2009
Adding insult to injury, the Pew Internet Trust did a study where Web searchers believe that they are
very good at finding information and trust the search engine implicitly. So, if they cannot find it…it must
not be there.

They bring these expectations into the workplace and to the enterprise search engine.




                                                                                                              4
There are 2 kinds of searches, navigational and informational

How we look for information is different between people and between people and machines.

Humans are limited by their ignorance. We don’t know what we’re looking for much of the time and so
do not know how to find it. We often rely on technology to provide parameters to narrow our scope
and put us on the right track. Unfortunately, technology is “face value” and so does not know how to
interpret our queries. Does not understand that we can have a single word mean multiple things (order
a meal, put things in order) or multiple terms mean the same thing (star: celestial entity, celebrity)




                                                                                                         5
This was recently put to the test in the US with an item that caused an uproar. A woman wants to buy
designer eyeglasses and save money. She chooses the #3 result on Google. The frames that are
delivered are obviously fake. When she returns them for refund, the owner of the business responds
with harassment and threats.

To the customer, relevant means honest and high quality. To Google, relevant means many links and
many, many social media mentions. What the search engine did not understand is that most of the
mentions were warnings of bad quality and service.

When the story came to light, Google’s response was that they would “tune” their sentiment algorithm.




                                                                                                        6
While many of the Web searches are of little consequence to anyone but the searcher,
enterprise search failure can have far reaching consequences such as: work stoppage,
wasted money or sub-optimal outcomes due to bad information.




                                                                                       7
Microsoft and others have spent millions developing cool features that are evangelized
at conferences all over the world. These features are designed to alleviate many of the
issues with finding information in the enterprise. They go underutilized because of:
skewed priorities, bad estimating or development difficulties (too hard). This is
because search optimization is not a priority in the enterprise and it should be.
Enterprise SEO should be part of development and not a nice-to-have that is all too
often cut from the budget before launch.




                                                                                          8
They work OK but not up to the client needs or expectations. These products are
meant to be tailored to the client environment, beyond the collection definitions and
beyond the indexing rate.




                                                                                        9
Governance is about who and how, not about why. It is meant to influence people
behavior, not system behavior and not how people engage with the system.




                                                                                  10
On its own, not successful because it is hierarchical, based on external factors not
related to how your colleagues search for information.




                                                                                       11
A rigid hierarchy is good for stocking shelves, not for organizing digital bits that can
(and maybe should) reside in many places or be available from many places
Not everyone shares the same meanings as the guy who put it together
Useful for facets and filters
Search works best when the searcher is able to use the search engine to get a sense of
how they should be looking for what they need




                                                                                           12
Tag! You’re it! Even if developers/itpros are not told explicitly that they are responsible
for the success of search, they are held accountable after that interactive agency has
been paid and left the building. The developers and itpros are the ones who get
ambushed in the halls with “search sucks” and who get the calls from those on
Mahogany Row.

IA/UX: they have visions of dropdown menus dancing in their heads
Content Strategy: is busy dreaming of the complex auto-classification software that
they will get to magically work
PM: likes saving some $$ by having search configuration as SEO…they just didn’t tell
you that yet…or ever




                                                                                              13
Tools
User research, user research, user research
Discovery session to set stakeholder expectations
Search-specific user experience design/ia




                                                    14
15
Users look to search engines for guidance. We can provide similar guidance with user
controls
Search as you type: Jquery customization for SP 2007




                                                                                       16
Jared Spool did a site search study some time ago that found users successful 37% of
the time when using site search and 50+% of the time when navigating
Users don’t like navigation at the outset but will use it if contextual and in a form that
they can influence




                                                                                             17
18
Guided Tours: built on analysis of other user pathways and knowledge of corpus
Produced Views: page of assembled content items focused on a single subject
Task List Drop Downs: “I Want To…” links to pages of assembled content focused on
single common task
Related Links: related as in “next steps” not what Marketing wants to be a next step
Best Bets: editorially assigned result that may not be chosen by the search engine

SharePoint Specific: Top Answers, Did You Mean that uses only terms found in the
indexed content for query suggestions




                                                                                       19
Humans are the best tool to configure search for other humans because search
engines are factoring in human behavior more and more
SP2010 has behavior relevance in the form of click-through analysis for relevance
ranking and query suggestions that are mined from search logs. There is also an
Outlook connector that will mine SENT email for expertise and interest information




                                                                                     20
Many new social features in SP 2010




                                      21
Don’t do it alone.:
• Insist on a dedicated IA
• Make the time part of the deployment/development budget
• Enlist power users as beta testers, evangelists and to report back on performance
• Have an executive sponsor
• Create measurements for success




                                                                                      22
23
24
25
Zero results are the road to Perdition
Tips
       •Verify indexing by using crawl logs to see what and how sites are being
       indexed
       •Verify site collections and lists have proper config (“allow to appear in search
       results”)
       •Verify crawler has appropriate perms
       •Tell content owner to create a BB




                                                                                           26
27

Weitere ähnliche Inhalte

Was ist angesagt?

Reputation Economy (Sept 2017)
Reputation Economy (Sept 2017)Reputation Economy (Sept 2017)
Reputation Economy (Sept 2017)KR_Barker
 
What Does Web 2.0 Mean for Enterprise Search
What Does Web 2.0 Mean for Enterprise SearchWhat Does Web 2.0 Mean for Enterprise Search
What Does Web 2.0 Mean for Enterprise SearchMichael Sampson
 
10 Truths to Great Product Experiences
10 Truths to Great Product Experiences10 Truths to Great Product Experiences
10 Truths to Great Product ExperiencesJeremy Johnson
 
Personalised Search: Historical & Geographical Factors
Personalised Search: Historical & Geographical FactorsPersonalised Search: Historical & Geographical Factors
Personalised Search: Historical & Geographical FactorsPhill Ohren
 
Google Value Sitesearch
Google Value SitesearchGoogle Value Sitesearch
Google Value SitesearchJuan Pittau
 
Knowledge Graphs - Creating Connected Search Experiences
Knowledge Graphs - Creating Connected Search ExperiencesKnowledge Graphs - Creating Connected Search Experiences
Knowledge Graphs - Creating Connected Search ExperiencesEnterprise Knowledge
 
Information Architecture: The Strategic Structure of Great UX - WIAD 2017
Information Architecture: The Strategic Structure of Great UX - WIAD 2017Information Architecture: The Strategic Structure of Great UX - WIAD 2017
Information Architecture: The Strategic Structure of Great UX - WIAD 2017Jessica DuVerneay
 
Sharpen SharePoint Adoption in SharePoint 2013 with Gamification
Sharpen SharePoint Adoption in SharePoint 2013 with GamificationSharpen SharePoint Adoption in SharePoint 2013 with Gamification
Sharpen SharePoint Adoption in SharePoint 2013 with GamificationJoel Oleson
 

Was ist angesagt? (9)

Reputation Economy (Sept 2017)
Reputation Economy (Sept 2017)Reputation Economy (Sept 2017)
Reputation Economy (Sept 2017)
 
What Does Web 2.0 Mean for Enterprise Search
What Does Web 2.0 Mean for Enterprise SearchWhat Does Web 2.0 Mean for Enterprise Search
What Does Web 2.0 Mean for Enterprise Search
 
10 Truths to Great Product Experiences
10 Truths to Great Product Experiences10 Truths to Great Product Experiences
10 Truths to Great Product Experiences
 
Personalised Search: Historical & Geographical Factors
Personalised Search: Historical & Geographical FactorsPersonalised Search: Historical & Geographical Factors
Personalised Search: Historical & Geographical Factors
 
Google Value Sitesearch
Google Value SitesearchGoogle Value Sitesearch
Google Value Sitesearch
 
Case Study Social Media Web
Case Study Social Media WebCase Study Social Media Web
Case Study Social Media Web
 
Knowledge Graphs - Creating Connected Search Experiences
Knowledge Graphs - Creating Connected Search ExperiencesKnowledge Graphs - Creating Connected Search Experiences
Knowledge Graphs - Creating Connected Search Experiences
 
Information Architecture: The Strategic Structure of Great UX - WIAD 2017
Information Architecture: The Strategic Structure of Great UX - WIAD 2017Information Architecture: The Strategic Structure of Great UX - WIAD 2017
Information Architecture: The Strategic Structure of Great UX - WIAD 2017
 
Sharpen SharePoint Adoption in SharePoint 2013 with Gamification
Sharpen SharePoint Adoption in SharePoint 2013 with GamificationSharpen SharePoint Adoption in SharePoint 2013 with Gamification
Sharpen SharePoint Adoption in SharePoint 2013 with Gamification
 

Ähnlich wie Configuring share point 2010 just do it

Bearish SEO: Defining the User Experience for Google’s Panda Search Landscape
Bearish SEO: Defining the User Experience for Google’s Panda Search LandscapeBearish SEO: Defining the User Experience for Google’s Panda Search Landscape
Bearish SEO: Defining the User Experience for Google’s Panda Search LandscapeMarianne Sweeny
 
SRC101 Introduction to Search #365EDUCon
SRC101 Introduction to Search #365EDUConSRC101 Introduction to Search #365EDUCon
SRC101 Introduction to Search #365EDUConKanwal Khipple
 
Introduction to Microsoft Search #SRC101 #365EduCon 20211214
Introduction to Microsoft Search #SRC101 #365EduCon 20211214Introduction to Microsoft Search #SRC101 #365EduCon 20211214
Introduction to Microsoft Search #SRC101 #365EduCon 20211214Kanwal Khipple
 
Introduction to Search #m365chicago
Introduction to Search #m365chicagoIntroduction to Search #m365chicago
Introduction to Search #m365chicagoKanwal Khipple
 
Search Solutions 2011: Successful Enterprise Search By Design
Search Solutions 2011: Successful Enterprise Search By DesignSearch Solutions 2011: Successful Enterprise Search By Design
Search Solutions 2011: Successful Enterprise Search By DesignMarianne Sweeny
 
Defining the Search Experience
Defining the Search ExperienceDefining the Search Experience
Defining the Search ExperienceMarianne Sweeny
 
Quality not quantity
Quality not quantityQuality not quantity
Quality not quantityvanesz
 
Birds Bears and Bs:Optimal SEO for Today's Search Engines
Birds Bears and Bs:Optimal SEO for Today's Search EnginesBirds Bears and Bs:Optimal SEO for Today's Search Engines
Birds Bears and Bs:Optimal SEO for Today's Search EnginesMarianne Sweeny
 
Optimal SEO (Marianne Sweeny)
Optimal SEO (Marianne Sweeny) Optimal SEO (Marianne Sweeny)
Optimal SEO (Marianne Sweeny) uxpa-dc
 
11 Steps To Successful Search Engine Optimization
11 Steps To Successful Search Engine Optimization11 Steps To Successful Search Engine Optimization
11 Steps To Successful Search Engine OptimizationCarsten Cumbrowski
 
Elqano - Where Knowledge Finds People
Elqano - Where Knowledge Finds PeopleElqano - Where Knowledge Finds People
Elqano - Where Knowledge Finds PeopleGuillermo Garcia
 
Sweeny group think-ias2015
Sweeny group think-ias2015Sweeny group think-ias2015
Sweeny group think-ias2015Marianne Sweeny
 
Sweeny ux-seo om-cap 2014_v3
Sweeny ux-seo om-cap 2014_v3Sweeny ux-seo om-cap 2014_v3
Sweeny ux-seo om-cap 2014_v3Marianne Sweeny
 
Data Informed Design - Good Tech Test - May 2018
Data Informed Design - Good Tech Test - May 2018Data Informed Design - Good Tech Test - May 2018
Data Informed Design - Good Tech Test - May 2018Courtney Clark
 
Beginners Guide To Search Engine Optimization
Beginners Guide To Search Engine OptimizationBeginners Guide To Search Engine Optimization
Beginners Guide To Search Engine Optimizationspritemathews
 
Georgetown University Guest lecture on SEO and online marketing
Georgetown University Guest lecture on SEO and online marketingGeorgetown University Guest lecture on SEO and online marketing
Georgetown University Guest lecture on SEO and online marketingWO Strategies
 
What IA, UX and SEO Can Learn from Each Other
What IA, UX and SEO Can Learn from Each OtherWhat IA, UX and SEO Can Learn from Each Other
What IA, UX and SEO Can Learn from Each OtherIan Lurie
 
How Google is Reading and Indexing Content in 2016
How Google is Reading and Indexing Content in 2016How Google is Reading and Indexing Content in 2016
How Google is Reading and Indexing Content in 2016Greenlane
 
Confab 2018 Talk: "Empathy Behind the Algorithms: Creating People-Driven SEO"
Confab 2018 Talk: "Empathy Behind the Algorithms: Creating People-Driven SEO"Confab 2018 Talk: "Empathy Behind the Algorithms: Creating People-Driven SEO"
Confab 2018 Talk: "Empathy Behind the Algorithms: Creating People-Driven SEO"Chris Corak
 

Ähnlich wie Configuring share point 2010 just do it (20)

Not Your Mom's SEO
Not Your Mom's SEONot Your Mom's SEO
Not Your Mom's SEO
 
Bearish SEO: Defining the User Experience for Google’s Panda Search Landscape
Bearish SEO: Defining the User Experience for Google’s Panda Search LandscapeBearish SEO: Defining the User Experience for Google’s Panda Search Landscape
Bearish SEO: Defining the User Experience for Google’s Panda Search Landscape
 
SRC101 Introduction to Search #365EDUCon
SRC101 Introduction to Search #365EDUConSRC101 Introduction to Search #365EDUCon
SRC101 Introduction to Search #365EDUCon
 
Introduction to Microsoft Search #SRC101 #365EduCon 20211214
Introduction to Microsoft Search #SRC101 #365EduCon 20211214Introduction to Microsoft Search #SRC101 #365EduCon 20211214
Introduction to Microsoft Search #SRC101 #365EduCon 20211214
 
Introduction to Search #m365chicago
Introduction to Search #m365chicagoIntroduction to Search #m365chicago
Introduction to Search #m365chicago
 
Search Solutions 2011: Successful Enterprise Search By Design
Search Solutions 2011: Successful Enterprise Search By DesignSearch Solutions 2011: Successful Enterprise Search By Design
Search Solutions 2011: Successful Enterprise Search By Design
 
Defining the Search Experience
Defining the Search ExperienceDefining the Search Experience
Defining the Search Experience
 
Quality not quantity
Quality not quantityQuality not quantity
Quality not quantity
 
Birds Bears and Bs:Optimal SEO for Today's Search Engines
Birds Bears and Bs:Optimal SEO for Today's Search EnginesBirds Bears and Bs:Optimal SEO for Today's Search Engines
Birds Bears and Bs:Optimal SEO for Today's Search Engines
 
Optimal SEO (Marianne Sweeny)
Optimal SEO (Marianne Sweeny) Optimal SEO (Marianne Sweeny)
Optimal SEO (Marianne Sweeny)
 
11 Steps To Successful Search Engine Optimization
11 Steps To Successful Search Engine Optimization11 Steps To Successful Search Engine Optimization
11 Steps To Successful Search Engine Optimization
 
Elqano - Where Knowledge Finds People
Elqano - Where Knowledge Finds PeopleElqano - Where Knowledge Finds People
Elqano - Where Knowledge Finds People
 
Sweeny group think-ias2015
Sweeny group think-ias2015Sweeny group think-ias2015
Sweeny group think-ias2015
 
Sweeny ux-seo om-cap 2014_v3
Sweeny ux-seo om-cap 2014_v3Sweeny ux-seo om-cap 2014_v3
Sweeny ux-seo om-cap 2014_v3
 
Data Informed Design - Good Tech Test - May 2018
Data Informed Design - Good Tech Test - May 2018Data Informed Design - Good Tech Test - May 2018
Data Informed Design - Good Tech Test - May 2018
 
Beginners Guide To Search Engine Optimization
Beginners Guide To Search Engine OptimizationBeginners Guide To Search Engine Optimization
Beginners Guide To Search Engine Optimization
 
Georgetown University Guest lecture on SEO and online marketing
Georgetown University Guest lecture on SEO and online marketingGeorgetown University Guest lecture on SEO and online marketing
Georgetown University Guest lecture on SEO and online marketing
 
What IA, UX and SEO Can Learn from Each Other
What IA, UX and SEO Can Learn from Each OtherWhat IA, UX and SEO Can Learn from Each Other
What IA, UX and SEO Can Learn from Each Other
 
How Google is Reading and Indexing Content in 2016
How Google is Reading and Indexing Content in 2016How Google is Reading and Indexing Content in 2016
How Google is Reading and Indexing Content in 2016
 
Confab 2018 Talk: "Empathy Behind the Algorithms: Creating People-Driven SEO"
Confab 2018 Talk: "Empathy Behind the Algorithms: Creating People-Driven SEO"Confab 2018 Talk: "Empathy Behind the Algorithms: Creating People-Driven SEO"
Confab 2018 Talk: "Empathy Behind the Algorithms: Creating People-Driven SEO"
 

Mehr von Marianne Sweeny

Connection and Context: ROI of AI for Digital Marketing
Connection and Context: ROI of AI for Digital MarketingConnection and Context: ROI of AI for Digital Marketing
Connection and Context: ROI of AI for Digital MarketingMarianne Sweeny
 
Design the Search Experience
Design the Search ExperienceDesign the Search Experience
Design the Search ExperienceMarianne Sweeny
 
Sweeny smx-social-media-2014 final-with-notes
Sweeny smx-social-media-2014 final-with-notesSweeny smx-social-media-2014 final-with-notes
Sweeny smx-social-media-2014 final-with-notesMarianne Sweeny
 
Smx toronto adv-kw-research-final
Smx toronto adv-kw-research-finalSmx toronto adv-kw-research-final
Smx toronto adv-kw-research-finalMarianne Sweeny
 
Widj social media-is-not-search-v1-1
Widj social media-is-not-search-v1-1Widj social media-is-not-search-v1-1
Widj social media-is-not-search-v1-1Marianne Sweeny
 
Uw Digital Communications Social Media Is Not Search
Uw Digital Communications Social Media Is Not SearchUw Digital Communications Social Media Is Not Search
Uw Digital Communications Social Media Is Not SearchMarianne Sweeny
 
Sweeny Seo30 Web20 Finalversion
Sweeny Seo30 Web20 FinalversionSweeny Seo30 Web20 Finalversion
Sweeny Seo30 Web20 FinalversionMarianne Sweeny
 
Enterprise Search Share Point2009 Best Practices Final
Enterprise Search Share Point2009 Best Practices FinalEnterprise Search Share Point2009 Best Practices Final
Enterprise Search Share Point2009 Best Practices FinalMarianne Sweeny
 
Share Point2007 Best Practices Final
Share Point2007 Best Practices FinalShare Point2007 Best Practices Final
Share Point2007 Best Practices FinalMarianne Sweeny
 
Univ Washington Social Media Marketing
Univ Washington Social Media MarketingUniv Washington Social Media Marketing
Univ Washington Social Media MarketingMarianne Sweeny
 
Sweeny Seo30 Web20 Final
Sweeny Seo30 Web20 FinalSweeny Seo30 Web20 Final
Sweeny Seo30 Web20 FinalMarianne Sweeny
 
Incentive Architecture 1224362486736986 8
Incentive Architecture 1224362486736986 8Incentive Architecture 1224362486736986 8
Incentive Architecture 1224362486736986 8Marianne Sweeny
 
SEO and IA: The Beginning of a Beautiful Friendship
SEO and IA: The Beginning of a Beautiful FriendshipSEO and IA: The Beginning of a Beautiful Friendship
SEO and IA: The Beginning of a Beautiful FriendshipMarianne Sweeny
 

Mehr von Marianne Sweeny (13)

Connection and Context: ROI of AI for Digital Marketing
Connection and Context: ROI of AI for Digital MarketingConnection and Context: ROI of AI for Digital Marketing
Connection and Context: ROI of AI for Digital Marketing
 
Design the Search Experience
Design the Search ExperienceDesign the Search Experience
Design the Search Experience
 
Sweeny smx-social-media-2014 final-with-notes
Sweeny smx-social-media-2014 final-with-notesSweeny smx-social-media-2014 final-with-notes
Sweeny smx-social-media-2014 final-with-notes
 
Smx toronto adv-kw-research-final
Smx toronto adv-kw-research-finalSmx toronto adv-kw-research-final
Smx toronto adv-kw-research-final
 
Widj social media-is-not-search-v1-1
Widj social media-is-not-search-v1-1Widj social media-is-not-search-v1-1
Widj social media-is-not-search-v1-1
 
Uw Digital Communications Social Media Is Not Search
Uw Digital Communications Social Media Is Not SearchUw Digital Communications Social Media Is Not Search
Uw Digital Communications Social Media Is Not Search
 
Sweeny Seo30 Web20 Finalversion
Sweeny Seo30 Web20 FinalversionSweeny Seo30 Web20 Finalversion
Sweeny Seo30 Web20 Finalversion
 
Enterprise Search Share Point2009 Best Practices Final
Enterprise Search Share Point2009 Best Practices FinalEnterprise Search Share Point2009 Best Practices Final
Enterprise Search Share Point2009 Best Practices Final
 
Share Point2007 Best Practices Final
Share Point2007 Best Practices FinalShare Point2007 Best Practices Final
Share Point2007 Best Practices Final
 
Univ Washington Social Media Marketing
Univ Washington Social Media MarketingUniv Washington Social Media Marketing
Univ Washington Social Media Marketing
 
Sweeny Seo30 Web20 Final
Sweeny Seo30 Web20 FinalSweeny Seo30 Web20 Final
Sweeny Seo30 Web20 Final
 
Incentive Architecture 1224362486736986 8
Incentive Architecture 1224362486736986 8Incentive Architecture 1224362486736986 8
Incentive Architecture 1224362486736986 8
 
SEO and IA: The Beginning of a Beautiful Friendship
SEO and IA: The Beginning of a Beautiful FriendshipSEO and IA: The Beginning of a Beautiful Friendship
SEO and IA: The Beginning of a Beautiful Friendship
 

Kürzlich hochgeladen

DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embeddingZilliz
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demoHarshalMandlekar2
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rick Flair
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxBkGupta21
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
What is Artificial Intelligence?????????
What is Artificial Intelligence?????????What is Artificial Intelligence?????????
What is Artificial Intelligence?????????blackmambaettijean
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 

Kürzlich hochgeladen (20)

DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embedding
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demo
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptx
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
What is Artificial Intelligence?????????
What is Artificial Intelligence?????????What is Artificial Intelligence?????????
What is Artificial Intelligence?????????
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 

Configuring share point 2010 just do it

  • 1. The inabiliy to find information is consistently the most called out issue within the Enterprise. This is because, most of the time, a very good enterprise search engine has not been configured to live up to its potential. This is a triple pity because: 1. Enterprise search affords the most opportunity for direct intervention to impact performance 2. The user group is readily available and eager to offer feedback and fix the problem 3. Enterprise search engines provide rich user data and other reports to help with refinement and revision 1
  • 2. 2
  • 3. Xerox UK study: July 2009 http://www.pitchengine.com/xeroxcorporation/xerox- survey-finds-information-overload-a-hinder-to-electronic-health-records-/15485/ People are more frustrated with searching for information than being stuck in traffic – that is what we’re up against in the enterprise. And, search is more painful in the enterprise because the searcher takes longer to give up. They know “it” is out there and will keep looking far longer than they would in a Web search. And, search in the enterprise is more costly because of this additional time and what the searcher does when they cannot find what they are looking for: • Randomize a co-worker for help ($) • Use an older version of the document ($$) • Recreate what they looking for ($$$) • Give up and go without the information that they need ($$) 3
  • 4. Using the Internet: Skill Related Problems in User Online Behavior; van Deursen & van Dijk; 2009 Adding insult to injury, the Pew Internet Trust did a study where Web searchers believe that they are very good at finding information and trust the search engine implicitly. So, if they cannot find it…it must not be there. They bring these expectations into the workplace and to the enterprise search engine. 4
  • 5. There are 2 kinds of searches, navigational and informational How we look for information is different between people and between people and machines. Humans are limited by their ignorance. We don’t know what we’re looking for much of the time and so do not know how to find it. We often rely on technology to provide parameters to narrow our scope and put us on the right track. Unfortunately, technology is “face value” and so does not know how to interpret our queries. Does not understand that we can have a single word mean multiple things (order a meal, put things in order) or multiple terms mean the same thing (star: celestial entity, celebrity) 5
  • 6. This was recently put to the test in the US with an item that caused an uproar. A woman wants to buy designer eyeglasses and save money. She chooses the #3 result on Google. The frames that are delivered are obviously fake. When she returns them for refund, the owner of the business responds with harassment and threats. To the customer, relevant means honest and high quality. To Google, relevant means many links and many, many social media mentions. What the search engine did not understand is that most of the mentions were warnings of bad quality and service. When the story came to light, Google’s response was that they would “tune” their sentiment algorithm. 6
  • 7. While many of the Web searches are of little consequence to anyone but the searcher, enterprise search failure can have far reaching consequences such as: work stoppage, wasted money or sub-optimal outcomes due to bad information. 7
  • 8. Microsoft and others have spent millions developing cool features that are evangelized at conferences all over the world. These features are designed to alleviate many of the issues with finding information in the enterprise. They go underutilized because of: skewed priorities, bad estimating or development difficulties (too hard). This is because search optimization is not a priority in the enterprise and it should be. Enterprise SEO should be part of development and not a nice-to-have that is all too often cut from the budget before launch. 8
  • 9. They work OK but not up to the client needs or expectations. These products are meant to be tailored to the client environment, beyond the collection definitions and beyond the indexing rate. 9
  • 10. Governance is about who and how, not about why. It is meant to influence people behavior, not system behavior and not how people engage with the system. 10
  • 11. On its own, not successful because it is hierarchical, based on external factors not related to how your colleagues search for information. 11
  • 12. A rigid hierarchy is good for stocking shelves, not for organizing digital bits that can (and maybe should) reside in many places or be available from many places Not everyone shares the same meanings as the guy who put it together Useful for facets and filters Search works best when the searcher is able to use the search engine to get a sense of how they should be looking for what they need 12
  • 13. Tag! You’re it! Even if developers/itpros are not told explicitly that they are responsible for the success of search, they are held accountable after that interactive agency has been paid and left the building. The developers and itpros are the ones who get ambushed in the halls with “search sucks” and who get the calls from those on Mahogany Row. IA/UX: they have visions of dropdown menus dancing in their heads Content Strategy: is busy dreaming of the complex auto-classification software that they will get to magically work PM: likes saving some $$ by having search configuration as SEO…they just didn’t tell you that yet…or ever 13
  • 14. Tools User research, user research, user research Discovery session to set stakeholder expectations Search-specific user experience design/ia 14
  • 15. 15
  • 16. Users look to search engines for guidance. We can provide similar guidance with user controls Search as you type: Jquery customization for SP 2007 16
  • 17. Jared Spool did a site search study some time ago that found users successful 37% of the time when using site search and 50+% of the time when navigating Users don’t like navigation at the outset but will use it if contextual and in a form that they can influence 17
  • 18. 18
  • 19. Guided Tours: built on analysis of other user pathways and knowledge of corpus Produced Views: page of assembled content items focused on a single subject Task List Drop Downs: “I Want To…” links to pages of assembled content focused on single common task Related Links: related as in “next steps” not what Marketing wants to be a next step Best Bets: editorially assigned result that may not be chosen by the search engine SharePoint Specific: Top Answers, Did You Mean that uses only terms found in the indexed content for query suggestions 19
  • 20. Humans are the best tool to configure search for other humans because search engines are factoring in human behavior more and more SP2010 has behavior relevance in the form of click-through analysis for relevance ranking and query suggestions that are mined from search logs. There is also an Outlook connector that will mine SENT email for expertise and interest information 20
  • 21. Many new social features in SP 2010 21
  • 22. Don’t do it alone.: • Insist on a dedicated IA • Make the time part of the deployment/development budget • Enlist power users as beta testers, evangelists and to report back on performance • Have an executive sponsor • Create measurements for success 22
  • 23. 23
  • 24. 24
  • 25. 25
  • 26. Zero results are the road to Perdition Tips •Verify indexing by using crawl logs to see what and how sites are being indexed •Verify site collections and lists have proper config (“allow to appear in search results”) •Verify crawler has appropriate perms •Tell content owner to create a BB 26
  • 27. 27