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Measuring Now for Tomorrow

Measuring Now for Tomorrow. presented by: Deschutes Public Library Wylie Ackerman Kevin Barclay Lynne Mildenstein. OLA 2012. Introduction—Why We Measure. State and National Reporting Appropriate allocation of staff and resources Advocacy Efficiencies Awareness of Trends.

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Measuring Now for Tomorrow

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  1. Measuring Now for Tomorrow presented by: Deschutes Public Library Wylie Ackerman Kevin Barclay Lynne Mildenstein OLA 2012

  2. Introduction—Why We Measure • State and National Reporting • Appropriate allocation of staff and resources • Advocacy • Efficiencies • Awareness of Trends

  3. Introduction—Why We Don’t • Think experience is good enough • Time • Lack reliable data source • Lack in-house expertise • Intangibles

  4. Measuring Excuses and Emily Rosa

  5. Scenarios • Budget Reductions • Operations—Appropriate Allocations of Resources • Review of collections

  6. DPL

  7. Collections Statistics—Traditional • Circulation • Turnover • Fill Rate

  8. Circulation Statistics • Methodology – • Count and separate widgets • Count by “audience” types • Count by format • Analysis • Compare national, state, local

  9. DPL Circulation by Audience

  10. DPL Circulation by Format

  11. Turnover • Methodology • Total circulation ÷ Total holdings = Turnover Rate • National average 3.5 • What about first time use vs. total circulation? • Analysis • Break it down by format • Compare from year to year

  12. DPL Turnover Rate - Adult

  13. DPL Turnover Rate – Juvenile

  14. DPL Turnover Rate - Downloads

  15. Fill Rate Survey Measures satisfaction with collections • Title • Author or Subject • Browsing Why are you at the library? • Programs, Internet, Pick up Hold? • Length of stay

  16. DPL Fill Rate Survey

  17. How does it fit? Increase or decrease in circulation….why? Turnover low? Fill rate low? Why?

  18. Collection Statistics—Non-traditional • Circulation/Visits Ratio • Weeding Statistics • Circulation per capita • Collections per capita

  19. Circulation/Visit Ratio • First time checkout / attendance

  20. Weeding • Add vs. weeded • FY 09/10 DPL withdrew 30% more materials than were added • FY 10/11 DPL withdrew 44% more materials than were added “A good library collection is like a good haircut. It’s not what you cut—it’s what you leave” Anne Felix, Grand Prairie (Texas) Public Library System

  21. Per Capita Statistics

  22. Staffing and Service Statistics • Service Desk Tally • Staffing Standards • Check-ins • Visit/hour • Self-check percent

  23. Service Desk Tally—Customer Transactions • Methodology • Analysis • DPL Approach

  24. Customer Transactions I

  25. Customer Transactions II

  26. Customer Transactions III

  27. Customer Transactions IV—Staff Interact/Visit

  28. Staffing Standards I—Minutes/Check-in and Service Minutes/Visit

  29. Staffing Standards II—Volunteer MH percentage

  30. Staffing Standards III—Branch Staff Time Allocations

  31. Visits/Hour I

  32. Visits/Hour II

  33. Self-Check Percent • Methodology • Analysis • DPL Approach

  34. Facilities Statistics • Facility per Service Area Capita • Computer Usage • Hourly Circulation Activity • Cost/square foot • Cost/Service Area Capita • PC/Internet/Wireless usage/Cost

  35. Facility per Service Area Capita—Or “How to define FAIR”

  36. FAIR II—Library Square Feet per Service Area Capita

  37. FAIR III—Library Hours per Service Area Capita

  38. FAIR IV—Library Personnel Costs per Service Area Capita

  39. Computer Usage • Methodology • Analysis • DPL Approach

  40. Cost/Circulation

  41. Cost/Square Foot

  42. Cost/Service Area Capita

  43. PC/Internet/Wireless Usageand Cost • Methodology • Analysis • DPL Approach

  44. Now What?—What do these numbers tell you about your staffing and facilities? • Allocation (Right staff for the right job) • Open Hours • New facilities • Outreach vsInreach

  45. eServices • Digital • Subscription Databases • Web • Social Media • eServices Users

  46. DigitalOverDrive • What useful data do we have access to? • What does it tell us? • What data are we missing?

  47. DigitalOverDrive

  48. DigitalOverDrive

  49. DigitalOverDrive

  50. DigitalOverDrive What else can you measure? • % of collection out at any given time • Number of holds/requests • Turnover rate • Title Statistics (which titles are most popular)

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