determining & demonstrating value with the logic model

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Determining & Demonstrating Value with the Logic Model Adapted from a Presentation by Mohamed Hosseini-Ara of City of Markham Rebecca Jones of Dysart & Jones

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Determining & Demonstrating Value with the Logic Model

Adapted from a Presentation by

Mohamed Hosseini-Ara of City of Markham

Rebecca Jones of Dysart & Jones

The logic of the old model …

Determining & Demonstrating Value With the Logic Model - Paul Burry

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Demonstrate to Whom?

Determining & Demonstrating Value With the Logic Model - Paul Burry

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The Framework

Understand the Context

Align Strategies & Objectives

Identify Services & Programs

Define Measures

Manage Measurement

Data

Translate Data Into Outcomes

& Impacts

Communicate the Results

Determining & Demonstrating Value With the Logic Model - Paul Burry

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Understand the Context

How is value defined, measured & communicated?

Know your stakeholders—who are they?

How do they measure their progress?

Determining & Demonstrating Value With the Logic Model - Paul Burry

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Stakeholders

Identifying and illustrating value requires relationships/conversations with stakeholders

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Start With Stakeholders

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Start With Stakeholders

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Clear Identity & Pride, Supportive/Engaged Community, Equity & Inclusion, Cultural Richness

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Clear Identity & Pride, Supportive/Engaged Community, Equity & Inclusion, Cultural Richness

Enhance Community Well-Being & Engagement, Create Welcoming Physical & Virtual Spaces

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Clear Identity & Pride, Supportive/Engaged Community, Equity & Inclusion, Cultural Richness

Enhance Community Well-Being & Engagement, Create Welcoming Physical & Virtual Spaces

Local History Collections & Speaker Series, Teen Queer/Straight Alliance Program, Locally Sourced Food/Farming Programs, Accessibility Initiatives

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Defining Measures

What Measures Do We Currently Use?

Operations Customer Satisfaction

Value or Impact

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Defining Measures

What Measures Do We Currently Use?

Operations Customer Satisfaction

Value or Impact

CirculationOpen HoursPeople CountProgram AttendanceInternet UseReference Queries

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Defining Measures

What Measures Do We Currently Use?

Operations Customer Satisfaction

Value or Impact

Circulation Focus GroupsOpen Hours SurveysPeople Count Program

EvaluationsProgram AttendanceInternet UseReference Queries

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Defining Measures

What Measures Do We Currently Use?

Operations Customer Satisfaction

Value or Impact

Circulation Focus Groups ?Open Hours Surveys ?People Count Program

EvaluationsProgram AttendanceInternet UseReference Queries

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Meaningful Measures…

Matter to you AND your stakeholders

Are conveyed in stakeholders’ language

Focus attention on what is most important for the organization

Are critical for managing, planning, & decision-making

Are organization-dependent

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Problems with Conventional Approaches to Measurement

Not a “culture of assessment”

Many measures convey only past performance

Often measures don’t align with stakeholder goals and concerns

Measuring impact/value can be complex

What does success look like?

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Measuring Impact/Value

You’re measuring a change in the human condition:

Behaviour Awareness

Skill Motivation

Knowledge Condition

Attitude Status

Circumstance

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The Logic Model

Goes beyond documenting what you did, and measures what difference you made in the life of your target audience. How have they changed?

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The Logic Model

InputResource

Perspective

OutputOperational Perspective

OutcomeUser

Perspective

ImpactStakeholder Perspective

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The Logic Model

InputResource

Perspective

OutputOperational Perspective

OutcomeUser

Perspective

ImpactStakeholder Perspective

• Equipment• Space• Supplies• Funding• Staff

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The Logic Model

InputResource

Perspective

OutputOperational Perspective

OutcomeUser

Perspective

ImpactStakeholder Perspective

• Training Module

• Program• Report• # of Programs• # of Attendees

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The Logic Model

InputResource

Perspective

OutputOperational Perspective

OutcomeUser

Perspective

ImpactStakeholder Perspective

• Increased Skill• Increased Knowledge• Change in Status• Change in Behaviour

or Attitude• Satisfaction level

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The Logic Model

InputResource

Perspective

OutputOperational Perspective

OutcomeUser

Perspective

ImpactStakeholder Perspective

• Long-term Effects

• Lower Dropout Rate

• Increased Literacy Level

• Increased Recovery Rate

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If we do this

InputResource

Perspective

OutputOperational Perspective

OutcomeUser

Perspective

ImpactStakeholder Perspective

The Logic Model

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If we do this This should happen

InputResource

Perspective

OutputOperational Perspective

OutcomeUser

Perspective

ImpactStakeholder Perspective

The Logic Model

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Begin With the End in Mind

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STEM Program for GirlsInput(resources)

Output(operations)

Outcome(user)

Impact(stakeholder)

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STEM Program for GirlsInput(resources)

Output(operations)

Outcome(user)

Impact(stakeholder)

• Girls ages 10-12 are interested in pursuing STEM careers (short-term)

• Girls take math, science, computer courses in high school and pursue STEM university degrees (mid-term)

• Girls pursue careers in STEM and become scientists programmers, doctors (long-term)

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STEM Program for GirlsInput(resources)

Output(operations)

Outcome(user)

• Girls ages 10-12 increase understanding of STEM careers• Increased interest in STEM course options• Positive response to questionnaire regarding

appropriate careers for girls (engineers, scientists)Impact(stakeholder)

• Girls ages 10-12 are interested in pursuing STEM careers (short-term)

• Girls take math, science, computer courses in high school and pursue STEM university degrees (mid-term)

• Girls pursue careers in STEM and become scientists programmers, doctors (long-term)

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STEM Program for GirlsInput(resources)

Output(operations)

• 6 week program offered twice per year• 25 girls ages 10-12 complete each session• Pre and Post session questionnaires (permission to follow

up in 3 years)Outcome(user)

• Girls ages 10-12 increase understanding of STEM careers• Increased interest in STEM course options• Positive response to questionnaire regarding

appropriate careers for girls (engineers, scientists)Impact(stakeholder)

• Girls ages 10-12 are interested in pursuing STEM careers (short-term)

• Girls take math, science, computer courses in high school and pursue STEM university degrees (mid-term)

• Girls pursue careers in STEM and become scientists programmers, doctors (long-term)

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STEM Program for GirlsInput(resources)

• Staffing; program design; marketing materials, facilities, equipment, speakers (6 female STEM professionals)

• $1,500 to pay for honorariums and supplies

Output(operations)

• 6 week program offered twice per year• 25 girls ages 10-12 complete each session• Pre and Post session questionnaires (permission to follow

up in 3 years)Outcome(user)

• Girls ages 10-12 increase understanding of STEM careers• Increased interest in STEM course options• Positive response to questionnaire regarding

appropriate careers for girls (engineers, scientists)Impact(stakeholder)

• Girls ages 10-12 are interested in pursuing STEM careers (short-term)

• Girls take math, science, computer courses in high school and pursue STEM university degrees (mid-term)

• Girls pursue careers in STEM and become scientists programmers, doctors (long-term)

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The Framework

Understand the Context

Align Strategies & Objectives

Identify Services & Programs

Define Measures

Manage Measurement

Data

Translate Data Into Outcomes

& Impacts

Communicate the Results

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The Framework

Understand the Context

Align Strategies & Objectives

Identify Services & Programs

Define Measures

Manage Measurement

Data

Translate Data Into Outcomes

& Impacts

Communicate the Results

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Manage Measurement Data

Plan/schedule data Collection

Who is responsible? What other work areas need to be involved?

Are you currently collecting data that is no longer relevant?

How long do you need to keep your data?

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Translate Data into Outcomes & Impacts

Define Success: what will it look like? How willyou get there?

Remember: You’re measuring social impact, not library performance/success

Be aware of possible confounding variables

Impact can be inferred, even when your data/measurement isn’t perfect

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Translate Data into Outcomes & Impacts

What does the data say? What does it not say?

No one organization is going to solve any major social issue: partner with other community organizations

Nobody said it would be easy!

Totally killing it!

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Communicate the Results

Begins at the “Understand the Context” stage

Dear stakeholder: we contribute X toward your goals

You DID build that!

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What Should You Stop Doing?

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Thank You!

Paul Burry: [email protected]

More at:http://www.metricsandlibraries.org/program.html

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