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Beyond User Research Lou Rosenfeld [email protected] World IA Day NYC 18 February 2017

Beyond User Research

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Page 1: Beyond User Research

Beyond User Research

Lou Rosenfeld •  [email protected] World IA Day NYC • 18 February 2017

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November 14, 2013: Barack Obama, Commander-in-Chief

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November 14, 2013: Barack Obama, Commander-in-Chief

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November 14, 2013: Barack Obama, User Researcher-in-Chief

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What does victory look like?

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User research in today’s organization

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Reports from the user research group

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Query data gleaned from site search team

XXX.XXX.X.104 - - [10/Jul/2013:10:25:46 -0800] "GET /search?access=p&entqr=0&output=xml_no_dtd&sort=date%3AD%3AL%3Ad1&ud=1&site=AllSites&ie=UTF-8&client=www&oe=UTF-8&proxystylesheet=www&q=lincense+plate&ip=XXX.XXX.X.104 HTTP/1.1" 200 971 0 0.02

XXX.XXX.X.104 - - [10/Jul/2013:10:25:48 -0800] "GET /search?access=p&entqr=0&output=xml_no_dtd&sort=date%3AD%3AL%3Ad1&ie=UTF-8&client=www&q=license+plate

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Logs from the call center

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Reports from analytics applications

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Insights from Voice of the Customer research

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Reports from CRM applications

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Surveys behind Net Promoter Score

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Papers from the research center

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One agency’s user mental model

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Another agency’s brand architecture research

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Yet why does so much design still SUCK?

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The blind men and the elephant

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What Why

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Methods employed: quantitative versus qualitative

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Goals: help org or users

Organizational goals

Users’ goals

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How they use data: measuring world we know versus world we don’t

Measuring the world we knowExploring the world we don’t

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...I

Descriptive dataStatistical data

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This is true.

The problem with dichotomies

And so is this.

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This is true.

The problem with dichotomies

And so is this.

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Lou’s TABLE OF OVERGENERALIZED

DICHOTOMIESWeb Analytics User Experience

What they analyze

Users' behaviors (what's happening)

Users' intentions and motives (why those things happen)

What methods they employ

Quantitative methods to determine what's happening

Qualitative methods for explaining why things happen

What they're trying to achieve

Helps the organization meet goals (expressed as KPI)

Helps users achieve goals (expressed as tasks or topics of interest)

How they use data

Measure performance (goal-driven analysis)

Uncover patterns and surprises (emergent analysis)

What kind of data they use

Statistical data ("real" data in large volumes, full of errors)

Descriptive data (in small volumes, generated in lab environment, full of errors)

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Four themes for getting to synthesis and insight

1. Balance

2. Cadence

3. Conversation

4. Perspective

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1. Balance

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XXX.XXX.X.104 - - [10/Jul/2006:10:25:46 -0800] "GET /search?access=p&entqr=0&output=xml_no_dtd&sort=date%3AD%3AL%3Ad1&ud=1&site=AllSites&ie=UTF-8&client=www&oe=UTF-8&proxystylesheet=www&q=lincense+plate&ip=XXX.XXX.X.104 HTTP/1.1" 200 971 0 0.02

XXX.XXX.X.104 - - [10/Jul/2006:10:25:48 -0800] "GET /search?access=p&entqr=0&output=xml_no_dtd&sort=date%3AD%3AL%3Ad1&ie=UTF-8&client=www&q=license+plate &ud=1&site=AllSites&spell=1&oe=UTF-8&proxystylesheet=www&ip=XXX.XXX.X.104 HTTP/1.1" 200 8283 146 0.16

Web analytics pro’s question: “Are we converting license plate renewals?”

User researcher’s question: “What are people searching the most?”

Balanced analysis

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Thanks

Balance within methods

example courtesy to Angel Brown, Ogilvy DigitalHealth

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Thanks

Balance within methods

example courtesy to Angel Brown, Ogilvy DigitalHealth

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Rohrer’s user research landscape

Text

Christian Rohrer: http://www.nngroup.com/articles/which-ux-research-methods/

Balance within practice

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Rohrer’s user research landscape

Text

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2. Cadence

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A research cadence from Whitney Quesenbery

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Cadence

WeeklyCall center data trend analysis 2 – 4 hours behavioral/quantitative

Task analysis 4 – 6 hours behavioral/quantitative

QuarterlyExploratory analysis of site analytics data 8 – 10 hours behavioral/qualitative

User survey 16 – 24 hours attitudinal/quantitative

AnnuallyNet Promoter Score study 3 – 4 days attitudinal/quantitative

Field study 4 – 5 days behavioral/qualitative

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Cadence

WeeklyCall center data trend analysis 2 – 4 hours behavioral/quantitative

Task analysis 4 – 6 hours behavioral/quantitative

QuarterlyExploratory analysis of site analytics data 8 – 10 hours behavioral/qualitative

User survey 16 – 24 hours attitudinal/quantitative

AnnuallyNet Promoter Score study 3 – 4 days attitudinal/quantitative

Field study 4 – 5 days behavioral/qualitative

Cadence + Balance

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Cadence

WeeklyCall center data trend analysis 2 – 4 hours behavioral/quantitative

Task analysis 4 – 6 hours behavioral/quantitative

QuarterlyExploratory analysis of site analytics data 8 – 10 hours behavioral/qualitative

User survey 16 – 24 hours attitudinal/quantitative

AnnuallyNet Promoter Score study 3 – 4 days attitudinal/quantitative

Field study 4 – 5 days behavioral/qualitative

Cadence + Balance

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3. Conversation

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Develop a pidgin

Dave Gray’s boundary matrix: http://bit.ly/gWoZQm

KPI

goals

segments

personas

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Ban words that impede conversations

• Product names: Omniture,, SharePoint...

• Methods: focus group,, usability test...

• Departments: market research,, analytics...

• Disciplines: business analysis,, information architecture...

• Outcomes: portal, social media layer...

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Tell Stories

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Tell Stories

SKU: #39072-2AH1

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Buy Candy for Strangers

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4. Perspective

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Maps help us make sense by seeing things in new ways

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Rohrer’s user research landscape

Text

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Avinash Kaushik’s visualization (from Web Analytics 2.0)

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Avinash Kaushik’s visualization (from Web Analytics 2.0)

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Avinash Kaushik’s visualization (from Web Analytics 2.0)

“...while I have a bucket for ‘Voice of Customer,’ in hindsight I should have worked harder still to paint the full

qual and quant picture....”

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Containers help us make sense by putting things together in new ways

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MailChimp’s UX team: drowning in data

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MailChimp + Evernote

• Shared bucket of buckets (60 notebooks)

• Email is the API

• OCR’d (nice for SurveyMonkey reports)

• Searchable!

• Led to “regular data nerd lunches”

MailChimp: on the threshold of synthesis

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MailChimp + Evernote

• Shared bucket of buckets (60 notebooks)

• Email is the API

• OCR’d (nice for SurveyMonkey reports)

• Searchable!

• Led to “regular data nerd lunches”

MailChimp: on the threshold of synthesis was getting closer to

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WeWork’s Polaris: working with a blank slate

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Research challenges at WeWork

1. Siloed research

2. Gaps in research memory

3. Reports instead of insight

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WeWork: "nuggetization" + metadata

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WeWork: "nuggetization" + metadata

nuggets

metadata

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WeWork: "nuggetization" + metadata

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WeWork: "nuggetization" + metadata

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WeWork: filter/search this stuff

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WeWork: an insight

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WeWork: "nuggetization" + metadata

nuggets

metadata

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WeWork’s approach

• Atomic units smaller than reports—nuggets (350 interviews yield @3400 nuggets)

• LOTS of metadata

• Findability improves organizational research memory

• Researcher:curator ratio is 3:1

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WeWork’s approach

• Atomic units smaller than reports—nuggets (350 interviews yield @3400 nuggets)

• LOTS of metadata

• Findability improves organizational research memory

• Researcher:curator ratio is 3:1

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WeWork’s approach

• Atomic units smaller than reports—nuggets (350 interviews yield @3400 nuggets)

• LOTS of metadata

• Findability improves organizational research memory

• Researcher:curator ratio is 3:1

…is an IA approach

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DecisionOps?

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DevOps => DecisionOps

DevOps

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DevOps => DecisionOps

DevOps DesignOps

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DevOps => DecisionOps

DevOps DesignOps ResearchOps

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DevOps => DecisionOps

DevOps DesignOps ResearchOps DecisionOps

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DevOps DesignOps ResearchOps DecisionOps

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DevOps DesignOps ResearchOps DecisionOps

Q. What will these need to succeed?

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DevOps DesignOps ResearchOps DecisionOps

Q. What will these need to succeed?

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DevOps DesignOps ResearchOps DecisionOps

Q. What will these need to succeed?

A. Information architecture.

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How will you get beyond user research?

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How will you get beyond user research?

How to move your organization from micro-decisions to major insights?

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How will you get beyond user research?

How to move your organization from micro-decisions to major insights?

Who needs to be talking with whom?

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How will you get beyond user research?

How to move your organization from micro-decisions to major insights?

Who needs to be talking with whom?

Can balance, cadence, conversation, and perspective help?

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How will you get beyond user research?

How to move your organization from micro-decisions to major insights?

Who needs to be talking with whom?

Can balance, cadence, conversation, and perspective help?

What kind of operations will get you there?

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How will you get beyond user research?

How to move your organization from micro-decisions to major insights?

Who needs to be talking with whom?

Can balance, cadence, conversation, and perspective help?

What kind of operations will get you there?

How will information architecture help?

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How will you get beyond user research?

How to move your organization from micro-decisions to major insights?

Who needs to be talking with whom?

Can balance, cadence, conversation, and perspective help?

What kind of operations will get you there?

How will information architecture help?

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Thanks!

slides: http://rfld.me/11FrI3o

article: http://rfld.me/145ZccP

Lou Rosenfeld

@louisrosenfeld

www.rosenfeldmedia.com • @rosenfeldmedia