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Charting Your Course Charting Your Course

Charting Your Course - PowerPoint Presentation

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Charting Your Course - PPT Presentation

Eric Stroshane NDSL Spring Workshop April 11 2016 estroshanendgov ericstroshane Acknowledgements This presentation is adapted from several different sessions presented at the 2015 Research Institute for Public Libraries RIPL conference in Colorado Springs ID: 598064

children data participating library data children library participating increased maintained reading skills participated 100 assessment story rule numbers information

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Slide1

Charting Your Course

Eric Stroshane

NDSL Spring Workshop

April 11, 2016

estroshane@nd.gov

@

ericstroshaneSlide2

Acknowledgements

This presentation is adapted from several different sessions presented at the 2015 Research Institute for Public Libraries (RIPL) conference in Colorado Springs.

It is particularly indebted to: “Creating A Data Roadmap,” prepared and presented by Nicolle Steffen, Keith Curry Lance, Rochelle Logan, and

Zeth

Lietzau

and to

Linda

Hofschire’s

presentation “Data Visualization for the Rest of Us: A Beginner’s Guide.”Slide3

Welcome…

…to ninety (90!) breathtaking minutes listening to a nincompoop

b

lather

a

bout statistics.

Know in your heart of hearts that it is not too late to run away. Slide4

http://www.pewinternet.org/2015/09/15/libraries-at-the-crossroads

/

Slide5

Data-Driven Decision Making

What is it?

Making operational determinations based on reasonable interpretations of usage, trends, and ROI

Why should we bother?

To ensure what you do is an appropriate use of resources

To communicate decisions in a defensible, comprehensible, and repeatable manner

How do we go about it?

Baking assessment into operations

Reviewing and assembling pertinent dataSlide6

Defining Our Metrics

Input

– Costs, material, time, labor, space, marketing, etc.

Inputs also include grant money, donations, and volunteer workSlide7

Defining Our Metrics

Output

– Immediately measurable quantitative data

Program registration/attendance, circulation, database usage

What we talk about when we talk about statisticsSlide8

Defining Our Metrics

Outcome

– Qualitative or quantitative measures of a service’s true impact

Generally not immediately available

Often has an anecdotal componentSlide9

The Arrow of Assessment

9Slide10

Telling the Whole Story

Why are each of these data elements important?

How do they relate?

What comes to light when you consider them together?Slide11

Library A

Library C

Library B

Slide12

Library A

100% of participating children increased or maintained reading skills

8

5% of participating

children

increased or maintained

reading

skills

8

5% of participating

children

increased or maintained

reading

skills

Library C

Library BSlide13

100% of participating children increased or maintained reading skills

8

5% of participating

children

increased or maintained

reading

skills

8

5% of participating

children

increased or maintained

reading

skills

25 children participated

100

children participated

50

children participated

Library A

Library C

Library BSlide14

100% of participating children increased or maintained reading skills

8

5% of participating

children

increased or maintained

reading

skills

8

5% of participating

children

increased or maintained

reading

skills

25 children participated

100

children participated

50

children participated

$

5,000

$

10,000

$2,500

Library A

Library C

Library BSlide15

100% of participating children increased or maintained reading skills

8

5% of participating

children

increased or maintained

reading

skills

8

5% of participating

children

increased or maintained

reading

skills

25 children participated

100

children

participated

50

children

participated

$5,000

$

10,000

$2,500

$200/child

$

1

00/child

$

5

0/child

Library A

Library C

Library BSlide16

A Fresh Look at Old Stats

Circulation

Circulation per item

Return on investment (material cost x circs)

Turnaround time/checkout percentageSlide17

Example: NDSL Kit CirculationSlide18

Assessment Milestone 1: Define Success Measures

Inputs:

Outputs:

Outcomes:Slide19

Assessment Milestone 2:Identify Data Needs

Planning

Managing

Reporting

CommunicatingSlide20

Assessment Milestone 3:Data Crosswalk

Inventory existing data

Identify

overlaps & gaps

Identify new data needed

Assess needs vs. wantsSlide21

3.5 Existing Data

Your Public Library Annual Report (if a P.L.)

Your Automation System (if automated)

Census Demographics and the Census Business Builder: Small

Business Edition:

https://cbb.census.gov/sbe

/

Expanding Minds

and Opportunities:

http://www.expandinglearning.org/expandingminds

/

Others?Slide22

3.5 Data Needs

Needed data…

…and how to acquire itSlide23

Assessment Milestone 4:Talk About Data

Stakeholders

Share external requirements

Listen to needs & concernsSlide24

Handling Data in Excel/Google Sheets

Data is great!

But numbers often need some TLC

2 + 2 =

LOVESlide25

Practicing the Mathemagical Arts

A Brief Demonstration of the Most Useful Things I’ve Learned About Spreadsheets Over the Years

(and

those

I’m most often asked how to do)Slide26

Numbers Are Not Enough

We can no longer rely on outputs alone

Find the story you need to tell

Q

ualitative outcome assessment

Data synthesis

Support your story with data, but don’t bog it down

Now tell it! We’re librarians—we get stories!Slide27

Stories

are how numbers talk to people.

-Thomas Davenport

Numbers have an

important story

to tell. They rely on you to give them a

clear and convincing voice

.

―Stephen FewSlide28

Data Visualization

Why even bother?Slide29

By visualizing information, we turn it into a landscape that you can explore with your eyes, a sort of information map. And when you’re lost in information,

an information map is kind of useful

.

―David

McCandlessSlide30

From @factbot1,April 9, 2016, 4:03 p.m.:

https://twitter.com/factbot1/status/718937291750842368

Slide31

Reasons to Visualize

When done well, visualizations make data more…

Digestible

Memorable

ConvincingSlide32

But It Can Go Pants Up

However, it is possible to visually arrange data such that it is…

Incomprehensible

Confusing

Offensively hideousSlide33

Rule 1: Avoid Silly ChartsSlide34

Rule 2: Choose Charts that Suit Your StorySlide35

Rule 3: Put Numbers in ContextSlide36

Rule 4: Establish a Focal Point

From the great

Junk Charts

,

http://junkcharts.typepad.com/

Slide37

Rule 5: Don’t Make People Work Too Hard To Find InformationSlide38

Rule 6: Tell Me Something I Don’t Know

From @

ChappellTracker

:

https

://

twitter.com/ChappellTracker/status/719314783858765824

Slide39

Data Visualization ContinuumSlide40

To Recap

Assess everything you do

Get the data you need

Tell your story well

Use pretty picturesSlide41

Any Questions?