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Using Ethnographic User Research
to Drive KM and Intranet Strategy
Don Bruns – Senior Consultant
Profile
Founded: 2001
Headquarters: McLean, VA
Staff: 75+
Culture: Disciplined, innovative, spirit-of-service
Ruling Passion: User-experience is the only sustainable competitive
advantage online
Centers of Excellence: Web Strategy
Usability and User Research
User Experience Design
Social Media
Content Management
Recognition: Awarded ten 2009 Web Awards from the Web Marketing
Association (WMA)
2
NavigationArts is a full-service digital consultancy that helps organizations
achieve results via the online channel
Why User Research?
• Speed user adoption
• Uncover points of resistance
• Identify true user needs
• Bolsters change management
• Serves as the foundation for User Centered Design efforts
3
Definition
• Ethnography: Branch of anthropology that describes
human societies by conducting field research
• Ancient Greek: εθνος + γραφειν
– ethnos = people
– graphein = writing
4
CASE STUDY
5
About the Client
• International pharmaceutical firm
• SharePoint-based KM portal for scientists
• Decades worth of siloed data
• Struggling to achieve user adoption
6
The Problem
• 97% of all pharmaceutical experiments fail
• Great at recording success stories
• Bad at capturing failures
• Repeating failed experiments year after year
7
Fritz, Zurich
Molecule A +
Assay B +
Target C
= ?
Beth, San Francisco
Molecule A +
Assay B +
Target C
= X
The Question
• How can we encourage
scientists to share their
failures?
• How do we make data
from failed experiments
available?
• How can we help ensure
user adoption?
“Success is also
understanding
why something
didn’t work.”
8
Stakeholders believed…
• Scientists don’t trust management
• Scientists are anti-social
• Scientists don’t want to use information technology
• Scientists compete with each another
• Scientists feared that other scientists would steal their work
Client brought us in to find out how to overcome this…
9
User Research Plan
Facility Tours
Orienting the research team to the
work environment
Shadow Sessions
Witnessing how teams work and
interactions in the lab
Direct Observation
Observing interactions in informal
settings such as cafeterias, lounges,
and hallways
One-on-one Interviews
Discussing daily activities, needs and
motivations in the office or lab
Entity Tracking
Following a compound for a day
Secondary Research
Studying trends among competitors and
comparable organizations
10
FINDINGS
11
Scientists operate in several modes
Conductor Mode
Managing disparate tasks or goals
toward a common goal.
Expert Mode
Acting as a reference for a technique,
process, or body of knowledge.
Advice Seeker Mode
Looking for guidance, advice, and
reassurance.
Hermit Mode
A state that requires intense
concentration without distraction.
Human Robot Mode
Conducting repetitive tasks,
procedures, and activities with the
precision of a machine.
Collaborator Mode
Proactively and openly sharing
expertise and knowledge with
others.
12
Most tools were geared toward “Hermit Mode”
• Dozens of siloed databases
• Decades of data on paper
• Current information
systems foster isolation
– One person: one bench
– One person: one computer
• Intranet did little to connect
scientists and data sources
13
Lack of connections frustrated “Advice Seeker Mode”
• Searching for data takes
away from "real science“
• Inconsistent metadata
– Formula: C22H23FN2O5
– Corp ID: 5128196-01
– ATC code: N06AB10
– PubChem: 146570
• Knowing who to ask >
Knowing where to look
14
Right tools in wrong place frustrated “Collaborator Mode”
15
• Management provides
tools that scientists ignored
– Whiteboards in the hallways and
cafeterias are pristine
– Glassware in the lab is covered with
magic marker
– Computers far away from workbenches
and equipment
• Tools were not integrated
into the normal workflow
Distrust of intranet and search hurt every Mode
• Takes one bad experience
with portal to disillusion
scientists
• Scientists created their own
information systems:
– Isolated wikis
– Private discussion forums
– Local spreadsheets
– Massive bookmark lists
“I should add
this to the
database, but
my Excel file is
more reliable.”
16
Lack of context prevented “Expert Mode” online
• Fear of being judged by
incomplete work
• Concern that information
will be used out of context
• No way to indicate how
“finished” a piece of
research is
• Scientists need to feel safe
about sharing
17
RECOMMENDATIONS
18
Add context to content for “Experts”
• Let “Experts” tag content
according to readiness
• Prevent “Experts” from
being judged unfairly based
on incomplete work
19
Create connections for “Advice Seekers”
• Tag all scientific content
according to a core set of
metadata
• Develop a synonym ring for
Compounds
• Adopt automated tagging
solution
• Implement a faster, more
robust search tool
20
Create connections online to promote “Collaborator Mode”
• Let users share
professional interests,
experiences, and expertise
• Show current research
efforts and past projects
• Show document uploads
and personal contacts
• Apply metadata strategy to
all intranet content
21
Recommend content and people to “Advice Seekers”
• Similar to Facebook or
LinkedIn recommendations
• Recommend connections
based on metadata
strategy:
– Search patterns
– Personal profiles
– Document uploads
– Current and past activities
22
Visualize the entire body of knowledge
• Create mind map to show
relationships between:
– People
– Compounds
– Assays
– Targets
– Experiments
– Documents
• Allow users to browse and
search visually
• Can be incorporated with
faceted search
23
CONCLUSION
24
Best Practices
1. Any user research is better than none
2. Plan and budget for success
3. Achieve and maintain buy-in from senior leadership
4. Stakeholders are not users
5. Choose the right methods for your needs
6. Capture as much as you can
7. Bring in a neutral observer
8. Avoid analysis paralysis
25
QUESTIONS?
Don Bruns
dbruns@navigationarts.com
703-584-8966
26

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Using Ethnographic User Research to Drive Knowledge Management and Intranet Strategy

  • 1. Using Ethnographic User Research to Drive KM and Intranet Strategy Don Bruns – Senior Consultant
  • 2. Profile Founded: 2001 Headquarters: McLean, VA Staff: 75+ Culture: Disciplined, innovative, spirit-of-service Ruling Passion: User-experience is the only sustainable competitive advantage online Centers of Excellence: Web Strategy Usability and User Research User Experience Design Social Media Content Management Recognition: Awarded ten 2009 Web Awards from the Web Marketing Association (WMA) 2 NavigationArts is a full-service digital consultancy that helps organizations achieve results via the online channel
  • 3. Why User Research? • Speed user adoption • Uncover points of resistance • Identify true user needs • Bolsters change management • Serves as the foundation for User Centered Design efforts 3
  • 4. Definition • Ethnography: Branch of anthropology that describes human societies by conducting field research • Ancient Greek: εθνος + γραφειν – ethnos = people – graphein = writing 4
  • 6. About the Client • International pharmaceutical firm • SharePoint-based KM portal for scientists • Decades worth of siloed data • Struggling to achieve user adoption 6
  • 7. The Problem • 97% of all pharmaceutical experiments fail • Great at recording success stories • Bad at capturing failures • Repeating failed experiments year after year 7 Fritz, Zurich Molecule A + Assay B + Target C = ? Beth, San Francisco Molecule A + Assay B + Target C = X
  • 8. The Question • How can we encourage scientists to share their failures? • How do we make data from failed experiments available? • How can we help ensure user adoption? “Success is also understanding why something didn’t work.” 8
  • 9. Stakeholders believed… • Scientists don’t trust management • Scientists are anti-social • Scientists don’t want to use information technology • Scientists compete with each another • Scientists feared that other scientists would steal their work Client brought us in to find out how to overcome this… 9
  • 10. User Research Plan Facility Tours Orienting the research team to the work environment Shadow Sessions Witnessing how teams work and interactions in the lab Direct Observation Observing interactions in informal settings such as cafeterias, lounges, and hallways One-on-one Interviews Discussing daily activities, needs and motivations in the office or lab Entity Tracking Following a compound for a day Secondary Research Studying trends among competitors and comparable organizations 10
  • 12. Scientists operate in several modes Conductor Mode Managing disparate tasks or goals toward a common goal. Expert Mode Acting as a reference for a technique, process, or body of knowledge. Advice Seeker Mode Looking for guidance, advice, and reassurance. Hermit Mode A state that requires intense concentration without distraction. Human Robot Mode Conducting repetitive tasks, procedures, and activities with the precision of a machine. Collaborator Mode Proactively and openly sharing expertise and knowledge with others. 12
  • 13. Most tools were geared toward “Hermit Mode” • Dozens of siloed databases • Decades of data on paper • Current information systems foster isolation – One person: one bench – One person: one computer • Intranet did little to connect scientists and data sources 13
  • 14. Lack of connections frustrated “Advice Seeker Mode” • Searching for data takes away from "real science“ • Inconsistent metadata – Formula: C22H23FN2O5 – Corp ID: 5128196-01 – ATC code: N06AB10 – PubChem: 146570 • Knowing who to ask > Knowing where to look 14
  • 15. Right tools in wrong place frustrated “Collaborator Mode” 15 • Management provides tools that scientists ignored – Whiteboards in the hallways and cafeterias are pristine – Glassware in the lab is covered with magic marker – Computers far away from workbenches and equipment • Tools were not integrated into the normal workflow
  • 16. Distrust of intranet and search hurt every Mode • Takes one bad experience with portal to disillusion scientists • Scientists created their own information systems: – Isolated wikis – Private discussion forums – Local spreadsheets – Massive bookmark lists “I should add this to the database, but my Excel file is more reliable.” 16
  • 17. Lack of context prevented “Expert Mode” online • Fear of being judged by incomplete work • Concern that information will be used out of context • No way to indicate how “finished” a piece of research is • Scientists need to feel safe about sharing 17
  • 19. Add context to content for “Experts” • Let “Experts” tag content according to readiness • Prevent “Experts” from being judged unfairly based on incomplete work 19
  • 20. Create connections for “Advice Seekers” • Tag all scientific content according to a core set of metadata • Develop a synonym ring for Compounds • Adopt automated tagging solution • Implement a faster, more robust search tool 20
  • 21. Create connections online to promote “Collaborator Mode” • Let users share professional interests, experiences, and expertise • Show current research efforts and past projects • Show document uploads and personal contacts • Apply metadata strategy to all intranet content 21
  • 22. Recommend content and people to “Advice Seekers” • Similar to Facebook or LinkedIn recommendations • Recommend connections based on metadata strategy: – Search patterns – Personal profiles – Document uploads – Current and past activities 22
  • 23. Visualize the entire body of knowledge • Create mind map to show relationships between: – People – Compounds – Assays – Targets – Experiments – Documents • Allow users to browse and search visually • Can be incorporated with faceted search 23
  • 25. Best Practices 1. Any user research is better than none 2. Plan and budget for success 3. Achieve and maintain buy-in from senior leadership 4. Stakeholders are not users 5. Choose the right methods for your needs 6. Capture as much as you can 7. Bring in a neutral observer 8. Avoid analysis paralysis 25

Editor's Notes

  1. A Lab Head searches through emails, different databases (one on the KM Intranet, which doesn’t work), works with her Unit Head on the phone and in person. In the end, she does not find what she’s looking for.
  2. Scientists weren’t averse to using technology IT just wasn’t giving them what they wanted
  3. Provide greater context around the data in the moment and over time.
  4. Make it easier to discover relationships through others and other work (both current and past).