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KMartin Works Research, Reports, Analytics and more. Building a Better Needs Assessment :. How to go from Good to G reat Assessments. What is the difference between a good and great community a ssessment The steps to follow to make your assessment great

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Building a better needs assessment

KMartin Works

Research, Reports, Analytics and more

Building a Better Needs Assessment:

How to go from Good to Great Assessments

What are going to cover today

What is the difference between a good and great community assessment

The steps to follow to make your assessment great

‘How to’ examples and tips to complete these steps

What are going to cover today

What are the components of a good assessment

Includes a community profile

Includes a client profile

Reports on level of poverty, unemployment, housing, higher education, etc. in your community

Lists community indicators (data) that support running the programs funded by the CAP

Usually reports on client input on the CAP programs- quality, value, priority, etc.

What are the components of a Good Assessment?

What is included in a great assessment

Gets data and insights from clients that are not available anywhere else

Has data that allows a compare and contrast from your community population and your target population

Data is drilled down to a small enough geographic or sub-population level to sufficiently understand and describe key need characteristics

Data is provided in easily understood format – charts, maps, etc. that goes beyond narrative and tables.

Does an analysis that shares insights in how to most effectively and efficiently design and deliver a path out of poverty for your target population

Includes local emerging issues and ties these issues to national or state emerging issues affecting those in poverty

What is included in a Great Assessment?

How do get a great assessment

Planning anywhere else


Using Great Data

How do get a Great Assessment?

Key components to planning

  • Two phases in planning: planning the scope & planning the data collection

  • Define what is the scope of what you want to assess

    • The more comprehensive the scope of the assessment the better the completed assessment will be, but the trickier the planning will be

  • Detail every step that needs to be taken in completing the data collection for the assessment – assign a person responsible, timeframe to complete, and deliverable for every execution step

  • Question assumptions every step of planning process

Key Components to Planning

Planning steps
Planning Steps data collection

Implementation steps
Implementation steps data collection

Execution key components to having a great assessment completed

Execution:Key Components to Having a Great Assessment Completed

Using great data

Two parts to having great data for a Needs Assessment data collection

  • Data Collection

  • Data Used

  • The two parts are a team that have to be aligned to achieve a great needs assessment

  • Using Great Data

    Collecting data sources

    • Data bases data collection

      • Examples: U.S. Census and ACS; BSSF; RWJ Health Rankings; Kids Count

      • New to consider- social media, consumer internet use data

    • Surveys – do your own or use a county partner’s

    • Focus groups

    • Community Forums

    • Interviews

    Collecting Data: Sources

    Collecting data part 2

    • Have to think about, plan and assign responsibility for following tasks:

      • Time line and budget set and approved for assessment

      • Staff resources or consultant resources to be used in collecting data

      • Other stakeholders whose role needs to be defined and agreed to in collecting data

      • If using more than one source of data, how will it be integrated?

      • Logistics on collecting data- how, where, when

    Collecting Data: Part 2

    Creating the report
    Creating the Report following tasks:

    Using data data analysis

    • Data analysis isn’t the same as compiling data following tasks:

    • How use needs to be creative

    • How present data analysis needs to be considered

      • “The Report”

      • Infographics

      • Tweets

      • Fact sheets by topics

      • Press releases tied to an education or advocacy campaign

    Using Data (Data Analysis)

    Example of infograph
    Example of following tasks:Infograph

    Example of fact sheet
    Example of Fact Sheet following tasks:

    Components of doing data analysis well

    • If ask the right questions in survey or focus groups, will have great data to analyze

      • Allows for seeing trends

      • Allows for seeing emerging issues

    • Great Assessments include comparison data in the analysis

    • Using the data well to tell the story also requires smart and creative charts, maps, graphs

    Components of Doing Data Analysis well

    What is comparison data

    Can be: have great data to analyze

    State to County

    County wide to target population (CAA clients or all Low-income clients within county)

    Target population measured to a self sufficiency benchmark

    Sub-populations of target population – to learn how differences in age, education, race etc. are impacting the intensity of barriers.

    Trend lines can be used to compare how one aspect has changed or hasn’t changed over time

    What is Comparison Data?

    Examples of presenting data visually
    Examples of Presenting Data Visually have great data to analyze

    Example of mapping census data at c ounty sub division l evel
    Example of Mapping Census Data at data county sub-division level

    Percent of those in Poverty who moved within County in last year, shown by Township, 2011

    • Countywide percent of those in poverty who moved within County in last year – 20.9%

    Example of mapping data with venn and vector charts
    Example of Mapping Data with Venn and Vector charts data

    Hillsdale County Jobs by Residence, 2011

    Final thoughts

    Don’t have to do it all at once –build to greatness data

    Start with what is most important to you agency and Board

    Plan, plan, plan before implement

    Be creative

    Be curious

    Be flexible

    Final Thoughts

    Questions data