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Source: Pat Keller Novartis NIBR
Source: Apps4Kids Hackathon 2015
Source: Shutterstock
Source: Pat Keller Novartis NIBR
Source: Pat Keller Novartis NIBR
Source: uxplanet.org
Source: https://vimeo.com/245961937
Source: Wikimedia Commons
Drug Discovery World, Summer 2017
Source: UXLS.org
“We will continue to make use of user feedback channels, including mailing lists, surveys and
Twitter, to engage with the community of Catalog users and ensure that the Catalog is an excellent,
easy-to-use resource, optimised for providing data in the manner required. We will perform user
experience (UX) tests as new website and API components are designed and collect data from
surveys, requests and feedback to prioritise those to be delivered first. We will use an iterative
development process following the Agile methodology to enable rapid prototyping and testing of
new features. Feedback pages on the Catalog’s web interface will allow users to provide context-
specific feedback and will be used to iteratively improve display and search functionality. With
added guidance from our SAB, we will use this feedback to inform the design and implementation
of the Catalog’s components throughout the next funding period, conducting follow-up
interviews to determine the success of the implementation and to solicit new requests for
functionality. Sixmonthly GUI releases will allow us to iteratively improve the Catalog’s interface and
to prioritise input from users to our helpdesk. Yearly user experience tasks will be synchronised with
the interface release cycle….
We expect to consume a subset of the data types from Open Targets and will prioritise these and
test with our user community prior to deployment.”
Source: Helen Parkinson, EMBL-EBI
Source: GWAS Catalog
@JenniferCham
www.jennycham.co.uk
jennifer.cham@ebi.acuk
Source: Pharma Technology Focus, pharma.nridigital.com
• Karamanis et al (2018) Designing an intuitive web application for drug discovery scientists Drug Discovery
Today https://doi.org/10.1016/j.drudis.2018.01.032
• Cham JA & Costa K (2017) UX design: maximising the value of scientific software in life science R&D Drug
Discovery World July 2017 Issue, page 58
• Karamanis et al (2017) Designing an intuitive scientific web resource using lean user experience methods
Pre-print paper at http://www.biorxiv.org/content/early/2017/07/27/169193 doi:
https://doi.org/10.1101/169193
• Koscielny G et al. (2016) Open Targets: a platform for therapeutic target identification and validation,
Nucleic Acids Research. DOI: 10.1093/nar/gkw1055
• Pavelin K, Pundir S and Cham JA (2014) Ten Simple Rules for Running Interactive Workshops. PLoS
Computational Biology DOI: 10.1371/journal.pcbi.1003485
• de Matos P, Cham JA, Cao H, Alcántara R, Rowland F, Lopez R and Steinbeck C (2013) Enzyme Portal: a
case study in applying user-centred design methods in bioinformatics BMC Bioinformatics 14:103
• Pavelin K, Cham JA, de Matos P, Brooksbank C, Cameron G and Steinbeck C (2012) Bioinformatics
meets user-centred design: a perspective PLoS Computational Biology 8(7): e1002554
Question Metrics Average
Adoption Are people visiting the site and viewing
its pages?
Visits per week
Unique visitors per week
Pageviews per week
Unique pageviews per week
816.35
529.58
4785.19
3343.42
Engagement Are people using the site and
performing certain actions (internal site
searches, downloads, clicking on
evidence links)?
Average visit duration
Bounce rate per week
Actions per week
Actions per visit
6min 49sec
25.60%
9401.33
11.29
Retention Are people coming back to the site? Returning visits per week
% returning visits / all visits
460.38
56.67%
https://uxls.org/case-studies/heart/
Open Targets: Target Validation Platform
www.targetvalidation.org
www.targetvalidation.org

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A User Experience Toolkit for Life Science

  • 1.
  • 2.
  • 3.
  • 4.
  • 5. Source: Pat Keller Novartis NIBR
  • 6. Source: Apps4Kids Hackathon 2015 Source: Shutterstock
  • 7. Source: Pat Keller Novartis NIBR
  • 8. Source: Pat Keller Novartis NIBR
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 19. Drug Discovery World, Summer 2017
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 26.
  • 27. “We will continue to make use of user feedback channels, including mailing lists, surveys and Twitter, to engage with the community of Catalog users and ensure that the Catalog is an excellent, easy-to-use resource, optimised for providing data in the manner required. We will perform user experience (UX) tests as new website and API components are designed and collect data from surveys, requests and feedback to prioritise those to be delivered first. We will use an iterative development process following the Agile methodology to enable rapid prototyping and testing of new features. Feedback pages on the Catalog’s web interface will allow users to provide context- specific feedback and will be used to iteratively improve display and search functionality. With added guidance from our SAB, we will use this feedback to inform the design and implementation of the Catalog’s components throughout the next funding period, conducting follow-up interviews to determine the success of the implementation and to solicit new requests for functionality. Sixmonthly GUI releases will allow us to iteratively improve the Catalog’s interface and to prioritise input from users to our helpdesk. Yearly user experience tasks will be synchronised with the interface release cycle…. We expect to consume a subset of the data types from Open Targets and will prioritise these and test with our user community prior to deployment.” Source: Helen Parkinson, EMBL-EBI
  • 30. Source: Pharma Technology Focus, pharma.nridigital.com
  • 31.
  • 32. • Karamanis et al (2018) Designing an intuitive web application for drug discovery scientists Drug Discovery Today https://doi.org/10.1016/j.drudis.2018.01.032 • Cham JA & Costa K (2017) UX design: maximising the value of scientific software in life science R&D Drug Discovery World July 2017 Issue, page 58 • Karamanis et al (2017) Designing an intuitive scientific web resource using lean user experience methods Pre-print paper at http://www.biorxiv.org/content/early/2017/07/27/169193 doi: https://doi.org/10.1101/169193 • Koscielny G et al. (2016) Open Targets: a platform for therapeutic target identification and validation, Nucleic Acids Research. DOI: 10.1093/nar/gkw1055 • Pavelin K, Pundir S and Cham JA (2014) Ten Simple Rules for Running Interactive Workshops. PLoS Computational Biology DOI: 10.1371/journal.pcbi.1003485 • de Matos P, Cham JA, Cao H, Alcántara R, Rowland F, Lopez R and Steinbeck C (2013) Enzyme Portal: a case study in applying user-centred design methods in bioinformatics BMC Bioinformatics 14:103 • Pavelin K, Cham JA, de Matos P, Brooksbank C, Cameron G and Steinbeck C (2012) Bioinformatics meets user-centred design: a perspective PLoS Computational Biology 8(7): e1002554
  • 33. Question Metrics Average Adoption Are people visiting the site and viewing its pages? Visits per week Unique visitors per week Pageviews per week Unique pageviews per week 816.35 529.58 4785.19 3343.42 Engagement Are people using the site and performing certain actions (internal site searches, downloads, clicking on evidence links)? Average visit duration Bounce rate per week Actions per week Actions per visit 6min 49sec 25.60% 9401.33 11.29 Retention Are people coming back to the site? Returning visits per week % returning visits / all visits 460.38 56.67% https://uxls.org/case-studies/heart/
  • 34. Open Targets: Target Validation Platform www.targetvalidation.org