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Serving researchers
in a self-service world
Dana Allen-Greil
@danamuses
Museums and the Web - April 29, 2018
In the next 15 minutes
1. How and why the National Archives
is investing in UX research
2. Key findings that might apply to
similar organizations
3. Areas for further research and
collaboration
Paper: http://bit.ly/SelfServeResearch
About the National Archives
The National Archives (NARA) is
America’s record keeper. We hold
hundreds of miles of film and tape,
14 million still photographs, and
billions of letters, drawings, maps,
treaties, posters, and other
documents that tell the stories of
America’s history as a nation.
Workers unloading Veteran’s Bureau Records (June 1936)
The Problem.
● Digital products
developed over time
without a strong (or
unifying) user-centered
framework
● Low customer
satisfaction overall
● Lots of assumptions
about researchers
A frustrated driver sits through a traffic jam in Herald Square (May 1973)
Satisfaction scores by audience
Average
Public service gap
D
Most users are unable to accomplish their task
How might we we help more people
accomplish their tasks?
…(Yes and) how might we help people
better define research tasks so they can
be accomplished?
Did you accomplish what
you wanted to
do today on the site?
Core products
for researchers
Archives.gov
Catalog
Consistently declining customer satisfaction
Scores for the
Catalog fell 16
points in 7 months.
What happened?
11
History Hub
Learn more about how
you can get involved:
bit.ly/joinhistoryhub
Why is this issue urgent now?
Our strategic plan dictates:
★ By FY 2024, NARA will digitize 500 million pages of records and make them
available online to the public through the National Archives Catalog.
★ By FY 2025, NARA will provide digital, next-generation finding aids to 95
percent of the holdings described in the National Archives Catalog.
★ By FY 2025, NARA will have 1 million records enhanced by citizen contributions
to the National Archives Catalog.
Why invest in UX?
❏ In the past, NARA designed and developed products without a user-centered
framework. These legacy products are now very difficult to change due to rigid
procurement and development processes.
❏ We must figure out not only how to provide access to a massive number of
archival resources but also how to do it in a way that is usable and useful at
scale.
❏ Our research is designed to help us use our limited resources most efficiently
and effectively to support successful user-centered products.
UX add to strategic plan!
Added “Build capabilities in design and user experience, to better understand user
needs.”
Research Goals
To better understand today's online marketplace for researchers and how we can
best serve their needs.
1. Assess the current level of audience engagement
2. Understand NARA’s high-value audiences
3. Identify new, aspirational audiences
4. Review peer organizations for best practices, features, and trends
5. Recommend ways to improve user experience on current digital platforms
6. Identify new opportunities to engage audiences
Research Methods
1
Usability testing/ observation
9 remote users were given task-based
questions to carry out on Archives.gov,
Catalog, and History Hub, and asked to
explain their choices
3
Comparative analysis
Reviewed 12 websites to compare
features, functionality, and content to
understand the wider online research
services landscape
5
Review of existing data
-Customer satisfaction survey
- Google Analytics data
- Search keyword metrics
- Social media analytics
-Textual analysis of Contact Us emails
2
User interviews
19 interviews (30-60 min) with
genealogists, in-person researchers,
online researchers, electronic records
experts, and citizen archivists
4
New survey of researchers
1,847 responses
Personas
archives.gov/digitalstrategy/personas
Audiences vs. Tasks
“Online researcher” is
a diverse category.
We should optimize
digital services to
meet the needs of
specific user tasks
rather than broad
audience categories.
Online Researchers Expect
Online Records First
● Only 25% of online researchers have
ever visited a NARA research facility.
● 86% said online research (as opposed
to in-person research) is important or
very important.
● Most researchers self-identified as
experienced/very experienced.
World War I poster (1943-1945)
Not just a “learning curve”
Returning visitors are no more satisfied than new
visitors.
➔ Suggests that no new knowledge is gained in
the first visit that makes subsequent visits easier
to execute.
➔ Solution can’t just be about “better orientation”
or more research guides (although just-in-time
support would help).
➔ Need to fix fundamental UX problems so our
digital services are usable and useful.
Thanks, Google.
Keyword topics and names of people provide relevant results.
People researching family history
are particularly unsatisfied
● At least 1/3 of our online researcher audience
● Only 24% of this audience was able to complete their
task
● Many visit Ancestry.com or similar sites first, where they
are accustomed to user-friendly features like person
name search and highlighted results
○ Popularity of DNA heritage tests is driving growth of this audience
● Most do not identify with the term “genealogist” or even
Orientation
Even experienced researchers need help orienting to your
collection:
● scope and size
○ What is an archive?
○ What’s in YOUR archive?
● how is it structured
● what is digitized and what isn’t
Recommended reading: Whitelaw, M. “Generous Interfaces for Digital Cultural Collections”
Wizards
Just-in-time help
Guidance (in a PPT file!) on a different
website is not helpful in the middle of a
search
How can we help people when they get
stuck?
Image: NYMag.com
How might AI help us support research?
1. Item-level expectations - Our systems and processes are structured around
descriptions of records groups and series. While we have millions of digitized
items, we don’t have good metadata to support their discoverability (e.g., by topic,
by person, by what is viewable in an image). How might AI (artificial intelligence)
help bridge this gap?
2. Finding needles in the haystack - How might machine learning make search
results more relevant and get smarter over time based on use? (This is especially
interesting for thinking about the tsunami of email records coming soon.)
3. Providing in-line support - Can chatbots provide useful customer service for
common researcher requests? How can we re-purpose knowledgebases like
History Hub to scale up personalized support?
Next steps
Front end
1. Consolidate products (distinction
between websites unclear to users)
2. Show digitized items first by default
(DUH!)
3. Build streamlined interfaces to guide
users in specific research tasks
4. Orient audiences who are
underprepared for archival research,
including a new visual overview of
holdings
5. Offer in-line help and support
Back end
1. Transform our procurement and
development to more agile
methodologies with UX work baked in
to the process
2. Leverage AI and machine learning to
support discoverability and tailored
support
3. Expand and improve API (including
faster performance, better image
delivery, and more coherent data
structure)
How can we better leverage our API?
To kick the tires on our API and uncover limitations (performance, data structure,
documentation), we have developed 6 prototypes:
1. Treemap/overview of holdings, a “generous interface” that communicates scope
and breadth
2. Facebook Messenger chatbot which encourages tagging of records
3. "When Am I?" game for engaging with records by time period (and adding tags)
4. Voice-activated Alexa skill which enables exploration of recipes
5. Drupal image selection and cropping tool (open source module)
6. Drupal CAPTCHA module that facilitates tagging records (open source module)
Facebook Messenger
Chatbot
How might we massively scale up
crowdsourcing of metadata?
(Our API is read/write to include
citizen-contributed tags,
transcriptions, and comments.)
Let’s talk!
Dana Allen-Greil
@danamuses
dana.allen-greil@nara.gov

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Serving researchers in a self service world

  • 1. Serving researchers in a self-service world Dana Allen-Greil @danamuses Museums and the Web - April 29, 2018
  • 2. In the next 15 minutes 1. How and why the National Archives is investing in UX research 2. Key findings that might apply to similar organizations 3. Areas for further research and collaboration Paper: http://bit.ly/SelfServeResearch
  • 3. About the National Archives The National Archives (NARA) is America’s record keeper. We hold hundreds of miles of film and tape, 14 million still photographs, and billions of letters, drawings, maps, treaties, posters, and other documents that tell the stories of America’s history as a nation. Workers unloading Veteran’s Bureau Records (June 1936)
  • 4. The Problem. ● Digital products developed over time without a strong (or unifying) user-centered framework ● Low customer satisfaction overall ● Lots of assumptions about researchers A frustrated driver sits through a traffic jam in Herald Square (May 1973)
  • 5. Satisfaction scores by audience Average Public service gap D
  • 6. Most users are unable to accomplish their task How might we we help more people accomplish their tasks? …(Yes and) how might we help people better define research tasks so they can be accomplished? Did you accomplish what you wanted to do today on the site?
  • 10. Consistently declining customer satisfaction Scores for the Catalog fell 16 points in 7 months. What happened?
  • 11. 11 History Hub Learn more about how you can get involved: bit.ly/joinhistoryhub
  • 12. Why is this issue urgent now? Our strategic plan dictates: ★ By FY 2024, NARA will digitize 500 million pages of records and make them available online to the public through the National Archives Catalog. ★ By FY 2025, NARA will provide digital, next-generation finding aids to 95 percent of the holdings described in the National Archives Catalog. ★ By FY 2025, NARA will have 1 million records enhanced by citizen contributions to the National Archives Catalog.
  • 13. Why invest in UX? ❏ In the past, NARA designed and developed products without a user-centered framework. These legacy products are now very difficult to change due to rigid procurement and development processes. ❏ We must figure out not only how to provide access to a massive number of archival resources but also how to do it in a way that is usable and useful at scale. ❏ Our research is designed to help us use our limited resources most efficiently and effectively to support successful user-centered products.
  • 14. UX add to strategic plan! Added “Build capabilities in design and user experience, to better understand user needs.”
  • 15. Research Goals To better understand today's online marketplace for researchers and how we can best serve their needs. 1. Assess the current level of audience engagement 2. Understand NARA’s high-value audiences 3. Identify new, aspirational audiences 4. Review peer organizations for best practices, features, and trends 5. Recommend ways to improve user experience on current digital platforms 6. Identify new opportunities to engage audiences
  • 16. Research Methods 1 Usability testing/ observation 9 remote users were given task-based questions to carry out on Archives.gov, Catalog, and History Hub, and asked to explain their choices 3 Comparative analysis Reviewed 12 websites to compare features, functionality, and content to understand the wider online research services landscape 5 Review of existing data -Customer satisfaction survey - Google Analytics data - Search keyword metrics - Social media analytics -Textual analysis of Contact Us emails 2 User interviews 19 interviews (30-60 min) with genealogists, in-person researchers, online researchers, electronic records experts, and citizen archivists 4 New survey of researchers 1,847 responses
  • 18. Audiences vs. Tasks “Online researcher” is a diverse category. We should optimize digital services to meet the needs of specific user tasks rather than broad audience categories.
  • 19. Online Researchers Expect Online Records First ● Only 25% of online researchers have ever visited a NARA research facility. ● 86% said online research (as opposed to in-person research) is important or very important. ● Most researchers self-identified as experienced/very experienced. World War I poster (1943-1945)
  • 20.
  • 21. Not just a “learning curve” Returning visitors are no more satisfied than new visitors. ➔ Suggests that no new knowledge is gained in the first visit that makes subsequent visits easier to execute. ➔ Solution can’t just be about “better orientation” or more research guides (although just-in-time support would help). ➔ Need to fix fundamental UX problems so our digital services are usable and useful.
  • 22. Thanks, Google. Keyword topics and names of people provide relevant results.
  • 23.
  • 24. People researching family history are particularly unsatisfied ● At least 1/3 of our online researcher audience ● Only 24% of this audience was able to complete their task ● Many visit Ancestry.com or similar sites first, where they are accustomed to user-friendly features like person name search and highlighted results ○ Popularity of DNA heritage tests is driving growth of this audience ● Most do not identify with the term “genealogist” or even
  • 25. Orientation Even experienced researchers need help orienting to your collection: ● scope and size ○ What is an archive? ○ What’s in YOUR archive? ● how is it structured ● what is digitized and what isn’t Recommended reading: Whitelaw, M. “Generous Interfaces for Digital Cultural Collections”
  • 27. Just-in-time help Guidance (in a PPT file!) on a different website is not helpful in the middle of a search How can we help people when they get stuck? Image: NYMag.com
  • 28. How might AI help us support research? 1. Item-level expectations - Our systems and processes are structured around descriptions of records groups and series. While we have millions of digitized items, we don’t have good metadata to support their discoverability (e.g., by topic, by person, by what is viewable in an image). How might AI (artificial intelligence) help bridge this gap? 2. Finding needles in the haystack - How might machine learning make search results more relevant and get smarter over time based on use? (This is especially interesting for thinking about the tsunami of email records coming soon.) 3. Providing in-line support - Can chatbots provide useful customer service for common researcher requests? How can we re-purpose knowledgebases like History Hub to scale up personalized support?
  • 29. Next steps Front end 1. Consolidate products (distinction between websites unclear to users) 2. Show digitized items first by default (DUH!) 3. Build streamlined interfaces to guide users in specific research tasks 4. Orient audiences who are underprepared for archival research, including a new visual overview of holdings 5. Offer in-line help and support Back end 1. Transform our procurement and development to more agile methodologies with UX work baked in to the process 2. Leverage AI and machine learning to support discoverability and tailored support 3. Expand and improve API (including faster performance, better image delivery, and more coherent data structure)
  • 30. How can we better leverage our API? To kick the tires on our API and uncover limitations (performance, data structure, documentation), we have developed 6 prototypes: 1. Treemap/overview of holdings, a “generous interface” that communicates scope and breadth 2. Facebook Messenger chatbot which encourages tagging of records 3. "When Am I?" game for engaging with records by time period (and adding tags) 4. Voice-activated Alexa skill which enables exploration of recipes 5. Drupal image selection and cropping tool (open source module) 6. Drupal CAPTCHA module that facilitates tagging records (open source module)
  • 31.
  • 32. Facebook Messenger Chatbot How might we massively scale up crowdsourcing of metadata? (Our API is read/write to include citizen-contributed tags, transcriptions, and comments.)
  • 33.
  • 34.
  • 35.
  • 36.

Notes de l'éditeur

  1. Clock image: https://catalog.archives.gov/id/17451063
  2. Workers Unloading Veteran's Bureau Records, 06/03/1936 https://catalog.archives.gov/id/7820631
  3. https://catalog.archives.gov/id/548275
  4. Customer Satisfaction scores from Foresee survey data on all of Archives.gov, the Catalog, and History Hub for January 2017-November 2017.
  5. Task accomplishment results from Foresee survey data on all of Archives.gov, the Catalog, and History Hub for January 2017-November 2017.
  6. Archives.gov is NARA’s flagship website,serving more than 20 million users in 2017. It is the portal to information for researchers, veterans, educators, museum visitors, and more. The public can view statistics about NARA’s website usage, including most-used pages, on analytics.usa.gov thanks to the U.S. government’s Digital Analytics Program.
  7. The National Archives Catalog (catalog.archives.gov) contains archival descriptions for over 95% of the holdings of the National Archives and over 39 million digitized copies of records. The site served 1.6 million users in 2017. Citizen archivists have added more than 1.2 million enhancements to the Catalog’s records in the form of user-contributed tags, transcriptions, and comments.
  8. Satisfaction scores (via the Foresee survey) for the National Archives Catalog fell 16 points in 7 months. How can we help people find the needle they want in an ever-increasing haystack? A massive challenge for NARA is how to balance access to the scale of its holdings with usability and findability. As part of our strategic plan, we aim to digitize 500 million pages of records and make them available online to the public through the National Archives Catalog by 2024. A review of ForeSee data in 2016-2017 revealed that customer satisfaction scores for the Catalog were consistently declining, despite the fact that no user interface changes had been made to the site. The cause? During this period of time, we uploaded millions of new digital objects. Our hypothesis is that as the number of digitized items grows, customer satisfaction scores decreased because they had even more options to sift and sort through. The moral of the story? The more that is made available online, the more scaffolding and assistance we may need to provide to help people find that needle in the haystack.
  9. History Hub (history.gov) is a crowdsourcing platform and online community that served 60,000 users in 2017. History Hub enables researchers to find expertise, share information, and work together. More than 700 research questions have been asked and answered on the platform since its launch in 2016. We are just beginning to understand the potential uses of History Hub as a platform, and this research project helped us better understand who uses the site (and who doesn’t), and what role it plays in supporting researchers. History Hub is intended to be a tool for many cultural institutions to use (not just NARA) and it is free and open to all
  10. Several challenging goals set out in NARA’s strategic plan serve as the backdrop for this research project: By FY 2024, NARA will digitize 500 million pages of records and make them available online to the public through the National Archives Catalog. By FY 2025, NARA will provide digital, next-generation finding aids to 95 percent of the holdings described in the National Archives Catalog. By FY 2025, NARA will have 1 million records enhanced by citizen contributions to the National Archives Catalog. To achieve these goals, NARA must not only figure out how to provide access to a massive number of archival resources but also how to do it through user-centered digital products that scale.
  11. Strategic plan: https://www.archives.gov/about/plans-reports/strategic-plan
  12. See all digital user personas: https://www.archives.gov/digitalstrategy/personas
  13. Audience role results from Survey Monkey survey, January 2018, with 1,847 respondents. This survey opportunity was provided to a smaller group of individuals who used the Catalog (or received its e-mail newsletter), Archives.gov/research or Archives.gov/citizen-archivist, History Hub, or the 1940 Census website.
  14. Poster: https://catalog.archives.gov/id/513932
  15. Poster: https://catalog.archives.gov/id/533985
  16. http://mbostock.github.io/d3/talk/20111018/treemap.html
  17. http://nymag.com/vindicated/2016/10/clippy-didnt-just-annoy-you-he-changed-the-world.html
  18. https://naraapi-finding.herokuapp.com/