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SMU Classification: RestrictedSMU Classification: Restricted
Small Data, Small Steps:
Lessons from assessing the Investment Studio
Low Jiaxin
Research Librarian, Business
Singapore Management University
Presented at APBSLG Conference, May 2019
SMU Classification: RestrictedSMU Classification: Restricted
Background & Motivations
Before renovation After renovation
SMU Classification: RestrictedSMU Classification: Restricted
Background & Motivations
After renovation
SMU Classification: RestrictedSMU Classification: Restricted
Background & Motivations
Phase 1: 2017
- Investigate usage of space, equipment and resources
- Study user behavior
- Find out ways to improve user experience
Phase 2: 2018
- Investigate changes in usage volume and patterns and user behaviour since first study
- Improve user experience
Phase 3: 2019
- Assessment of Bloomberg subscription
SMU Classification: RestrictedSMU Classification: Restricted
Methodology
Mixed methods
Qualitative methods:
- Observation
- Journey mapping
- Interview with users
Quantitative methods:
- PC Booking system statistics
- People Counter statistics
- Gate Count statistics (card entries)
SMU Classification: RestrictedSMU Classification: Restricted
Summary of Findings
Observation & journey mapping
- Collaboration: pair/group work
- Movement between terminals
- Usage of personal laptops in addition to
terminals
Interview
- Students from Investment Club: usually
learn about databases from seniors
- Faculty: SMU undergraduate education is
geared towards course work, not research,
thus less exploration on databases
SMU Classification: RestrictedSMU Classification: Restricted
Summary of Findings
Statistics
- Peak period in semester: before assignment due
- Peak period in a day: late afternoon
- Most popular terminals: Bloomberg
SMU Classification: RestrictedSMU Classification: Restricted
2018 Recommendations
Little to no $ cost involved:
- Promote databases (especially those with certifications) to
postgraduates and younger cohort
- Increase visibility of databases
- Continue to engage students
- Continue to engage faculty, demonstrate value of library
Involving budget:
- Remove outdated or rarely used technology from
Investment Studio
- Install instructional technology to facilitate teaching
Long-term:
- Redesign space
SMU Classification: RestrictedSMU Classification: Restricted
Lessons and going forward…
Lessons:
- Importance of qualitative data
- Design and intent versus user behavior
- Changing user behavior versus adapting
- Agile response and finding quick wins versus
looking at all possibilities
- Small increments versus total overhaul
Ongoing works and project:
- Refurbishment of Investment Studio (26 May – 2
May 2019)
- Assessment of Bloomberg subscription (by June
2019)
Michigan State University
SMU Classification: RestrictedSMU Classification: Restricted
Thank you

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Small data, small steps: Lessons from assessing the Investment Studio

  • 1. SMU Classification: RestrictedSMU Classification: Restricted Small Data, Small Steps: Lessons from assessing the Investment Studio Low Jiaxin Research Librarian, Business Singapore Management University Presented at APBSLG Conference, May 2019
  • 2. SMU Classification: RestrictedSMU Classification: Restricted Background & Motivations Before renovation After renovation
  • 3. SMU Classification: RestrictedSMU Classification: Restricted Background & Motivations After renovation
  • 4. SMU Classification: RestrictedSMU Classification: Restricted Background & Motivations Phase 1: 2017 - Investigate usage of space, equipment and resources - Study user behavior - Find out ways to improve user experience Phase 2: 2018 - Investigate changes in usage volume and patterns and user behaviour since first study - Improve user experience Phase 3: 2019 - Assessment of Bloomberg subscription
  • 5. SMU Classification: RestrictedSMU Classification: Restricted Methodology Mixed methods Qualitative methods: - Observation - Journey mapping - Interview with users Quantitative methods: - PC Booking system statistics - People Counter statistics - Gate Count statistics (card entries)
  • 6. SMU Classification: RestrictedSMU Classification: Restricted Summary of Findings Observation & journey mapping - Collaboration: pair/group work - Movement between terminals - Usage of personal laptops in addition to terminals Interview - Students from Investment Club: usually learn about databases from seniors - Faculty: SMU undergraduate education is geared towards course work, not research, thus less exploration on databases
  • 7. SMU Classification: RestrictedSMU Classification: Restricted Summary of Findings Statistics - Peak period in semester: before assignment due - Peak period in a day: late afternoon - Most popular terminals: Bloomberg
  • 8. SMU Classification: RestrictedSMU Classification: Restricted 2018 Recommendations Little to no $ cost involved: - Promote databases (especially those with certifications) to postgraduates and younger cohort - Increase visibility of databases - Continue to engage students - Continue to engage faculty, demonstrate value of library Involving budget: - Remove outdated or rarely used technology from Investment Studio - Install instructional technology to facilitate teaching Long-term: - Redesign space
  • 9. SMU Classification: RestrictedSMU Classification: Restricted Lessons and going forward… Lessons: - Importance of qualitative data - Design and intent versus user behavior - Changing user behavior versus adapting - Agile response and finding quick wins versus looking at all possibilities - Small increments versus total overhaul Ongoing works and project: - Refurbishment of Investment Studio (26 May – 2 May 2019) - Assessment of Bloomberg subscription (by June 2019) Michigan State University
  • 10. SMU Classification: RestrictedSMU Classification: Restricted Thank you