71
Post occupancy evaluation in an academic library Using data to make the case for continuous improvement of facilities Charles Forrest Director, Library Facilities Emory University Atlanta, Georgia

Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Embed Size (px)

DESCRIPTION

Digital access to all sources of information continues to expand at an accelerating rate, and academic libraries are working to transform themselves in response to a generation of students entering the university having embraced online, mobile, anytime, anywhere access to information. In an academic community that increasingly values intellectual collaboration among faculty and students, and learning in and out of the classroom, the twenty-first century academic library must continually recreate itself as a place that fosters curiosity, engagement, collaboration, and lifelong learning. Typical twentieth-century capital investment cycles in academic libraries are characterized by large-scale once-a-generation investments. In the first decade of the twenty first century the drive to transform is greater than ever before, but there is less capital funding available, increasing the pressure on institutions to reduce capital investment cycle times in order to remain responsive to rapid changes in technology, pedagogy, scholarship, and user expectations. The end of any project is the start of evaluation and planning for the next. This presentation explores and discusses efforts in the Emory University Libraries to develop new ways to evaluate library spaces, services, and operations. It highlights initiatives intended to operationalize capital investment, shorten cycle times and provide incremental interventions, within a general framework of planning big and implementing small. Exit counts, occupancy rates, and peer comparisons are used to address user needs, program innovation, and facilities enhancement, with the aim of continually refreshing and renewing library spaces to enhance learning, inspire scholarship, and foster community. Presented at GaCOMO12 (as part of the GLA Academic Papers session) by Charles Forrest.

Citation preview

Page 1: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Post occupancy evaluation in an academic library

Using data to make the case for continuous improvement of facilities

Charles Forrest Director, Library Facilities

Emory University Atlanta, Georgia

Page 2: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Welcoming, flexible, & state-of-the-art

• Library users have choices They vote with their feet

• Inputs and outputs support outcomes Investment + activity = experience

• Once a generation capital investment? Responsive libraries require shorter cycle times

• Plan big, implement small Keep them coming with something new!

Page 3: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Continuous facilities improvement

• Measuring success The customer experience

• Five Phases The capital investment cycle

• The Emory experience Exit count, group study use, hours of operation

• Continuous facilities improvement Choices, investment, outcomes

Page 4: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Measuring Success

Inputs

Outputs

Outcomes

Budget, staff, volumes, subscriptions Circulation, questions answered, classes taught Student learning, faculty productivity, customer satisfaction

Page 5: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

The Experience Economy

If you focus on the activities you execute, then you’re in the service business;

if you focus on the demonstrated outcome the customer achieves, then and only then are you in the transformation business.

B. Joseph Pine II, James H. Gilmore,

The Experience Economy: Work is Theatre & Every Business a Stage (Boston: Harvard Business School Press, 1999)

Page 6: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

The Customer Experience

CUSTOMER LIBRARY

Measures

Mode Role Mode Role

Transaction Patron Control Gatekeeper Inputs

Service Customer Connect Assistant Outputs

Experience Guest Collaborate Partner Outcomes

Useful

Helpful

Memorable

Investments

Activities

What difference

did it make?

Page 7: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

University outcome: Recruiting

Important facilities to see during my visit

1. Facilities in my major

2. Residence halls

3. Library

4. Classrooms

5. Technology facilities

Extremely or very important facilities in the selection decision

1. Facilities in my major

2. Library

3. Sophisticated technology

4. Classrooms

5. Residence halls

APPA Center for Facilities Research 2006

Page 8: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Continuous facilities improvement

• Measuring success The customer experience

• Five Phases The capital investment cycle

• The Emory experience Exit count, group study use, hours of operation

• Continuous facilities improvement Choices, investment, outcomes

Page 9: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Continuous facilities improvement

• Measuring success The customer experience

• Five Phases The capital investment cycle

• The Emory experience Exit count, group study use, hours of operation

• Continuous facilities improvement Choices, investment, outcomes

Page 10: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Five Phases

1. Vision Concept, idea, problem

2. Plan Assess needs, develop program, assess feasibility

3. Design Schematic, Development, Construction Documents

4. Implement Construct, renovate

5. Occupy Move in, celebrate, evaluate (Post Occupancy)

Page 11: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Post Occupancy Evaluation (POE)

Post Occupancy Evaluation (POE) involves systematic evaluation of opinion about buildings in use, from the perspective of the people who use them.

POE assesses how well buildings match users' needs, and identifies ways to improve building design, performance and fitness for purpose.

http://www.postoccupancyevaluation.com/default.shtml

Page 12: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Post Occupancy Evaluation (POE)

POE can be used for many purposes, including fine tuning new buildings, developing new facilities and managing 'problem' buildings. Organizations also find POE valuable when establishing maintenance, replacement, purchasing or supply policies; preparing for refurbishment; or selecting accommodation for purchase or rent.

http://www.postoccupancyevaluation.com/default.shtml

Page 13: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Post Occupancy Evaluation (POE)

POE differs significantly from conventional surveys and market research. POE uses the direct, unmediated experiences of building users as the basis for evaluating how a building works for its intended use.

http://www.postoccupancyevaluation.com/default.shtml

Page 14: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Post Occupancy Evaluation (POE)

'Building users' are all people with an interest in a building:

– Staff – Managers – Customers or clients – Visitors – Owners – Design and maintenance teams, – Particular interest groups such as the disabled

http://www.postoccupancyevaluation.com/default.shtml

Page 15: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Five Phases

1. Vision 2 – 3 years

2. Plan 2 – 3 years

3. Design 1 – 2 years

4. Implement 1 – 2 years

5. Occupy 1 year (warranty, budget close)

Page 16: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

0 5 10

1. Vision

2. Plan

3. Design

4. Implement

Five phases can take ten years

5. Occupy

Page 17: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

1. Vision

2. Plan

3. Design

4. Implement

Implement = 20% Occupy = 80%

5. Occupy 5. Occupy

0 5 10

Page 18: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Do something!

Major capital investment once every thirty years

Satisfactory Unsatisfactory

0 10 30

5. Occupy

20

Page 19: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

1. Vision

2. Plan

3. Design

4. Implement

Satisfactory Unsatisfactory

5. Occupy 5. Occupy

0 10 30 20

Major capital investment once every thirty years

Page 20: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

1. Vision

2. Plan

3. Design

4. Implement

Implement = 7% Occupy = 93%

Satisfactory Unsatisfactory

5. Occupy

0 10 30 20

5. Occupy

Page 21: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Implement Vision

Plan Design

Occupy

Evaluate

Measure

Learn

Occupancy is evaluation

Page 22: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Continuous facilities improvement

• Measuring success The customer experience

• Five Phases The capital investment cycle

• The Emory experience Exit count, group study use, hours of operation

• Continuous facilities improvement Choices, investment, outcomes

Page 23: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Continuous facilities improvement

• Measuring success The customer experience

• Five Phases The capital investment cycle

• The Emory experience Exit count, group study use, hours of operation

• Continuous facilities improvement Choices, investment, outcomes

Page 24: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

• Established 1836 • Private university • Enrollment 14,000

– 7,500 Undergraduate – 6,500 Graduate and Professional

• Business, Law, Medicine, Nursing, Public Health, Theology • Emory Healthcare Hospital and Clinic • Staff 23,000

– 12,000 University faculty and staff – 11,000 Emory Healthcare

Emory University

Page 25: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

• 3.7M volumes – Business – Chemistry – Health and Life Sciences – Law – Math and Science – Music and Media – Theology

• Main Library – 1926 Candler Library – 1955 Candler renovated – 1969 Woodruff Library – 1998 Woodruff renovated

Page 26: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

1915 Emory University

chartered in Atlanta

1926 Asa G. Candler Library first main library open

1955 Asa G. Candler Library

renovated

2003 Asa G. Candler Library

renovated

1997 Robert W. Woodruff Library

addition and renovation

Emory Main Library in the 20th century

1900 1950 2000

1969 Robert W. Woodruff Library

new main Library open

Page 27: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

1915 Emory University

chartered in Atlanta

1926 Asa G. Candler Library first main library open

1955 Asa G. Candler Library

renovated

2003 Asa G. Candler Library

renovated

1997 Robert W. Woodruff Library

addition and renovation

Emory Main Library in the 20th century

1900 1950 2000

1969 Robert W. Woodruff Library

new main Library open

Page 28: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Facility use: What does the data tell us?

• Facilities improvements – Exit count – Group study use

• Facilities operations – Library schedule

Page 29: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Exit Count Woodruff Library

0

100,000

200,000

300,000

400,000

500,000

600,000

700,000

800,000

900,000

1,000,000

89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11

Page 30: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Woodruff Library exit count has increased in response to facilities improvements over the last 20+ years

0

100,000

200,000

300,000

400,000

500,000

600,000

700,000

800,000

900,000

1,000,000

89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11

Page 31: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Woodruff Library 1969 opened

0

100,000

200,000

300,000

400,000

500,000

600,000

700,000

800,000

900,000

1,000,000

89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11

1926 1955

1969

Page 32: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Center for Library and Information Resources 1997 opened (80% increase)

0

100,000

200,000

300,000

400,000

500,000

600,000

700,000

800,000

900,000

1,000,000

89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11

1926 1955

1969 1997

Page 33: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Candler Library renovation Renovated 2003 (exit count began to decline)

0

100,000

200,000

300,000

400,000

500,000

600,000

700,000

800,000

900,000

1,000,000

89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11

1926 1955 2003

1969 1997 2001

Page 34: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Jazzman’s on Level 1 2005 opened (exit count increased)

0

100,000

200,000

300,000

400,000

500,000

600,000

700,000

800,000

900,000

1,000,000

89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11

Page 35: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Beginning of Stack Tower floor-by-floor renovation Level 4 (2004), Level 5 (2007)

0

100,000

200,000

300,000

400,000

500,000

600,000

700,000

800,000

900,000

1,000,000

89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11

Page 36: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Beginning of Stack Tower floor-by-floor renovation Level 4 (2004), Level 5 (2007)

0

100,000

200,000

300,000

400,000

500,000

600,000

700,000

800,000

900,000

1,000,000

89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11

Page 37: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Group studies added to Stack Tower renovation Level 6 (2008)

0

100,000

200,000

300,000

400,000

500,000

600,000

700,000

800,000

900,000

1,000,000

89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11

Page 38: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Group studies added to Stack Tower renovation Level 7 (2009)

0

100,000

200,000

300,000

400,000

500,000

600,000

700,000

800,000

900,000

1,000,000

89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11

Page 39: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Library Service Desk on Level 2 Opens 2010

0

100,000

200,000

300,000

400,000

500,000

600,000

700,000

800,000

900,000

1,000,000

89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11

Page 40: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Business Library renovation, Research Commons opens 2011

0

100,000

200,000

300,000

400,000

500,000

600,000

700,000

800,000

900,000

1,000,000

89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11

Page 41: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Business Library renovation, Research Commons opens 2011

0

100,000

200,000

300,000

400,000

500,000

600,000

700,000

800,000

900,000

1,000,000

89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11

Page 42: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Exit Count Woodruff Library

0

100,000

200,000

300,000

400,000

500,000

600,000

700,000

800,000

900,000

1,000,000

89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11

Page 43: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Facility use: What does the data tell us?

• Facilities improvements – Exit count – Group study use

• Facilities operations – Library schedule

Page 44: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Facility use: What does the data tell us?

• Facilities improvements – Exit count – Group study use

• Facilities operations – Library schedule

Page 45: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Group studies

Page 46: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

0 100 200 300 400

215

656

756

765

664

764

665

213

Room 656 offered a low-height table with cushions Inspired by the University’s Cox Hall Computing Center

Page 47: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

0 100 200 300 400

215

656

756

765

664

764

665

213

The unconventional furnishings were replaced with a standard table and chairs

Page 48: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

0 100 200 300 400

215

656

756

765

664

764

665

213

Use of the rooms increased from spring 2011 to fall 2011

Page 49: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

(100)

(80)

(60)

(40)

(20)

0

20

40

60

80

656 756 664 215 773 874 665 765 764 213

But there was a surprising decrease in 764 and especially 213

Page 50: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

0 100 200 300 400

215

656

756

765

664

764

665

213

Remember that 213 was the most heavily used room; 764 was tied for second place

Page 51: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

0 100 200 300 400

215

656

756

765

664

764

665

213

Use shifted away from these rooms Why?

Page 52: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

0 100 200 300 400

215

656

756

765

664

764

665

213

Installed new technology, table and chairs in 213

Page 53: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

0 100 200 300 400

215

656

756

765

664

764

665

213

Installed tables and chairs in 764

Page 54: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Group study 656

Page 55: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Group study 756

Page 56: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Group study 764

Page 57: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Facility use: What does the data tell us?

• Facilities improvements – Exit count – Group study use

• Facilities operations – Library schedule

Page 58: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Facility use: What does the data tell us?

• Facilities improvements – Exit count – Group study use

• Facilities operations – Library schedule

Page 59: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Library schedule

Page 60: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Student Government Association and College Council

• Spring 2011: Please extend hours of operation • SGA/CC: “Emory is the only top twenty library in

the country that doesn’t offer twenty-four hour access seven days a week.”

• Emory Library: “Demand has never justified extending the library’s hours of operation.”

Page 61: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

0.0 24.0 48.0 72.0 96.0 120.0 144.0 168.0

MIT

Yale

Princeton

Northwestern

U Notre Dame

Duke

EMORY

Cornell

Harvard

Rice

Vanderbilt

U of Chicago

U of Penn

Columbia

Cal Tech

Stanford

Dartmouth

Johns Hopkins

Wash U St Louis

Brown

Only one third of the top twenty US academic libraries offer 24 X 7 service somewhere in their library system

Page 62: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Student Government Association and College Council

• Spring 2011: Please extend hours of operation • SGA/CC: “Emory is the only top twenty library in

the country that doesn’t offer twenty-four hour access seven days a week.”

• Emory Library: “Demand has never justified extending the library’s hours of operation.”

Page 63: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Head count is steady until midnight then falls off by 02:00 am

0

100

200

300

400

500

600

700

17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00

Head

cou

nt

1-Apr-11

2-Apr-11

8-Apr-11

9-Apr-11

15-Apr-11

16-Apr-11

22-Apr-11

23-Apr-11

29-Apr-11

30-Apr-11

Midnight

02:00 am

20:00 pm

Page 64: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

0.0 24.0 48.0 72.0 96.0 120.0 144.0 168.0

MIT

Yale

Princeton

Northwestern

U Notre Dame

Duke

EMORY

Cornell

Harvard

Rice

Vanderbilt

U of Chicago

U of Penn

Columbia

Cal Tech

Stanford

Dartmouth

Johns Hopkins

Wash U St Louis

Brown

Library agreed to change Friday and Saturday closing time from 20:00 hours (8:00pm) to midnight

Page 65: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

By adding 8 additional hours per week Emory moved up higher in the second tier

0.0 24.0 48.0 72.0 96.0 120.0 144.0 168.0

MIT

Yale

Princeton

Northwestern

U Notre Dame

Duke

Cornell

Harvard

Rice

Vanderbilt

EMORY

U of Chicago

U of Penn

Columbia

Cal Tech

Stanford

Dartmouth

Johns Hopkins

Wash U St Louis

Brown

Page 66: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Student Government Association and College Council

• Spring 2011: Please extend hours of operation • SGA/CC: “Emory is the only top twenty library in

the country that doesn’t offer twenty-four hour access seven days a week.”

• Emory Library: “Demand has never justified extending the library’s hours of operation.”

• Test all assumptions—especially your own!

Page 67: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Continuous facilities improvement

• Measuring success The customer experience

• Five Phases The capital investment cycle

• The Emory experience Exit count, group study use, hours of operation

• Continuous facilities improvement Choices, investment, outcomes

Page 68: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Continuous facilities improvement

• Measuring success The customer experience

• Five Phases The capital investment cycle

• The Emory experience Exit count, group study use, hours of operation

• Continuous facilities improvement Choices, investment, outcomes

Page 69: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Welcoming, flexible, state-of-the-art

• Library users have choices They vote with their feet

• Inputs and outputs support outcomes Investment + activity = experience

• Once a generation capital investment? Responsive libraries require shorter cycle times

• Plan big, implement small Keep them coming with something new!

Page 70: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Post occupancy evaluation in an academic library

Using data to make the case for continuous improvement of facilities

Charles Forrest Director, Library Facilities

Emory University Atlanta, Georgia

Page 71: Post Occupancy Evaluation in an Academic Library: Using Data to Make the Case for Continuous Improvement of Facilities

Post occupancy evaluation in an academic library

Using data to make the case for continuous improvement of facilities

Charles Forrest Director, Library Facilities

Emory University Atlanta, Georgia