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Getting to Outcomes: Next Steps Getting to Outcomes: Next Steps

Getting to Outcomes: Next Steps - PowerPoint Presentation

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Getting to Outcomes: Next Steps - PPT Presentation

Doug Tanner Youth Catalytics 9785442067 dtanneryouthcatalyticscom Know how a data management project can help Improve program design Demonstrate effectiveness Highlight the best work being done ID: 647565

planning data objectives outcomes data planning outcomes objectives indicators project information improve staff questions achievements workshop software program learn

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Presentation Transcript

Slide1

Getting to Outcomes: Next StepsSlide2

Doug Tanner

Youth Catalytics

978-544-2067dtanner@youthcatalytics.comSlide3

Know how a data management project can help:Improve program design

Demonstrate effectiveness

Highlight the best work being doneCompete for funding, and Mobilize public support.

Workshop ObjectivesSlide4

Learn about:Identifying expected outcomes, and

defining objectives and incremental indicators of success consistent with your mission.

Workshop ObjectivesSlide5

Understand the elements and stages of a data management planning processBe familiar with common barriers and costs associated with data management

Workshop ObjectivesSlide6

Learn how quality data can influence and inform the strategic planning process.Explore options for tracking and using data efficiently at reasonable cost.

Workshop ObjectivesSlide7

City of Pittsfield Neighborhood evaluationCombining & analyzing data from multiple sources

DIAL/SELF (Greenfield, MA) Transitional Living Program housing outcomes

Sorting and interpreting data from a single collection source(Lets go to visit source tables in Excel then come back to PowerPoint to review graphs)

Examples of Data Compilation:Slide8

Building permits over 20K by Pittsfield neighborhoods:Slide9

 

Intake by age rangeSlide10

Issues at intake by ageSlide11

Housing Outcome DataSlide12

Bring key people together at each stage of planning process

Administration, program directors and supervisor participation is critical in early stages, but direct care staff can be helpful too (ask questions!)

Project Planning 101: Slide13

Initial planning stages require a deep understanding of the resources (funding, technology/equipment, and staff time) required to plan, implement and maintain a data management project/data driven culture.

Project Planning 101: Slide14

It may be worthwhile to invest in a consultant or devote substantial administrative time to produce useful estimates of the time and cost involved in implementing and maintaining a data driven culture

Project Planning 101: Slide15

Understand the purpose of your project - what will this data do for your organization?

Identify data priorities

Plan to start small and efficiently – you can grow as you learn and achieve - look for the intersection of what data you can easily obtain and what you would want to know in an ideal world! (go to flip chart

)

Planning GuidelinesSlide16

As you move into more detailed planning, direct care staff input becomes extremely important.

Involve staff in a formal way and carefully assess what support they will need to succeed!

Design formal systems for Training, Support and Accountability

Staff Commitment & SupportSlide17

Reports/data you already need for funders

Identify information for internal evaluation and improvement (even if it isn’t currently required by funders)

Develop a functional draft of outcomes, objectives and indicators (your dataset) prior to shopping for a database or building a data collection system

Gather the Information You Need to Get StartedSlide18

ImProve OutcomesSM

A Brief SummarySlide19

Objectives = desired participant changes or achievements

Indicators

= measurable eventsOutcomes = level of achievement

ImProve

Outcomes

SM

L

anguageSlide20

ImProve OutcomesSM

& Logic Models

Inputs

resources

Outputs

actions

Outcomes

achievements

Basic Logic Model

Inputs

resources

Outputs

actions

Indicators

events

Objectives

expectations

Outcomes

achievements

ImProve Outcomes

SM

Model

*Identify tracking methodSlide21

ImProve Outcomes

SM

is… Extension of logic models

Based on incremental change

Means of

prioritizing information

Method of categorizing informationSlide22

Levels of Learning Mastery

Knowledge/Comprehension

(learn about it)Application

(use it, try it out)

Synthesis

(integrate with other knowledge)

Bloom’s TaxonomySlide23

Specific

M

easurableAchievableRelevant

T

imely

Indicators Should be

SMARTSlide24

Use active verbs to describe indicators

Look

for achievement opportunities at levels that are relevant to the services, time frame or intervention level of your program

Indicators reflect

participant capacity for positive change and choices that indicate forward movement

Indicators are Activity or Behavior

Based (observable)Slide25

Web/Cloud Based

Require reliable, high

speed internet connection(s)

Each user has own

license – can access from anywhere

Easy to monitor data entry

Evaluate capability and cost of compilation, sorting and reporting

Carefully evaluate ownership of data and “worst-case scenarios” (e.g., you or the provider go out of business?)

PC-Based

You own software

and data that

is on your computer

Speed

depends on speed of machine

May require additional software to run the

database

Can be difficult to synchronize data from multiple sources.

Ease of data retrieval depends a lot on initial design and software used.

Database OptionsSlide26

1. Surveys:Useful to capture information from participantsYou have to ask the right question(s). That takes planning and some experimentation to gather

aggregateable

data.Results can be compiled in Excel – but consider using Survey Monkey where you can get reports and export to excel.2. Microsoft Access: Good for demographic data and tracking objectives and indicator completion – data that changes or needs to be cross-referenced.Inexpensive, but requires expertise to develop functional applications

Easy to retrieve data through queries

Tools you can use – now!Slide27

3. Daily Logs (paper or software)Most useful if data is aggregated and entered into a database or spreadsheet regularly (daily, weekly or monthly)

Like surveys, the right questions have to be asked to get useful, accessible information

With proper planning, could be used to track a variety of participant achievements.4. Exit interviews!Build some of the questions to have

aggregateable

answers (e.g., multiple choice, name at least one xxx, etc.)

More Tools you can use – now!Slide28

Implementation Questions?

Please Contact:

Doug Tannerdtanner@youthcatalytics.org

978-544-2067Slide29

Training Questions?

Please Contact:

Cindy Carraway-Wilsoncwilson@youthcatalytics.org

203-561-6099