Matthew W. Kreuter, PhD, MPH

Washington University in St. Louis

AIRS 36th Annual Training and Education Conference

June 2, 2014

Atlanta, GA

Development of a Data DashboardFor 2-1-1s and their Communities

- Catherine Penrod, CEO

- Jarred Wilson, Data Resource Specialist

- Marti Morris, Director

- Linda Brinkley, Resource Data Manager

2-1-1 Panelists

- Data collected by 2-1-1s are rich and unique.

- These data are currently underutilized.

- Better using them can have social impact.

Three key assumptions

- Raise awareness - Improve services

- Increase efficiency - Garner resources

What’s the value of 2-1-1 data?

- Improving lives - Strengthening communities

To what end?

- What are the most pressing problems? - Where are those problems felt the most?

- How are problems being addressed?

- Are we making a difference?

How can data do this?

- Municipalities - Government agencies

- Philanthropies

- Service providers

Who would use it?

- Community-specific data - Agency-specific interests

- Cross-community comparisons

- Changes and trends

What would they look for?

- Planning or projecting - Resource allocation

- Program improvement

- Evaluation

How would they use the information?

- Philanthropies: make decisions, set priorities - Leaders: emerging issues, affected communities - Service providers: improve quality, efficiency

- Organizations: applying “wisdom of crowds”

For example…

- User interface

- Taxonomy

- Programming

Three phases of design

2-1-1 leaders

- In person: 17 call centers (NC, FL, MO)

- Phone/web: 6 teleconferences

- United Way Worldwide

- 2-1-1 U.S. Steering Committee

- 2-1-1s in MI, IN, Cleveland, Orlando

Stakeholder input

Software vendors

- Bowman Systems

- RTM Designs

- VisionLink

- Northlight

- iCarol

Stakeholder input

2-1-1 data managers

- Sample data from 14 call centers (FL, NC)

Stakeholder input

User interface

- Display of data-based indicators

- Presented in usable form

- Multiple data sources at once

- Providing real-time, ever-changing data

Taxonomy

- 12 categories

- 68 sub-categories

- 708 codes from AIRS/2-1-1 LA

Taxonomy

Categories

• Food • Legal services

• Utilities • Housing & shelter

• Disaster • Clothing & household

• Education • Employment & income

• Health care • Child care & adult care

• Transportation • Mental health & addictions

Categories

• Food • Legal services

• Utilities • Housing & shelter

• Disaster • Clothing & household

• Education • Employment & income

• Health care • Child care & adult care

• Transportation • Mental health & addictions

Sub categories for Food

• Help buying food

• Food pantries

• Soup kitchens

• Feeding children

• Home delivered meals

• Holiday meals

Sub categories for Food

• Help buying food NL-6000, NL-6000.2000, NL-6000.2500, NL-6000.9500, BD-5000.5000, BD-5000.4500, BD-5000.2250, BD-1800.1500

• Food pantries BD-1800, BD-1850, BD-1800.2000.620, BD-1800.2000.640, BD-1800.2000, BD-1800.8000, BD-1800.8200, BD-1800.8200-250, BD-2400, BD-1800.1900

• Soup kitchens BD-5000.1470, BD-5000.1500, BD-5000.8300

• Feeding children BD-5000.5100, BD-5000.8000, BD-5000.8200, BD-5000.8500, BD-5000-0200; BD-5000.1450

• Home delivered meals BD-5000.3500, BD-2400.2590

• Holiday meals PH-2950.1500-120, PH-2950.8500-850, PH-2950.1500-200, PH-2950.1750-300, PH-2950.8500-870

Sub categories for Housing & Shelter

• Shelters

• Low-cost housing

• Rent/mortgage assistance

• Home repair & maintenance

Sub categories for Utilities

• Gas

• Water

• Electric

• Heating fuel

• Trash collection

• Utility payment plans

• Disconnection protection

• Utility deposit assistance

- Focus on high volume categories

- Describe in plain language

- Engender empathy

- Clear meaning to non-2-1-1 audiences

Goals for taxonomy

Computer programming

How it works

d

d

d

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d

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2-1-1Your

Town

2-1-1My

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Softwarevendor

APIDashboarddatabase

server

2-1-1DashboardInterface

- Building data repository

- Calculating data elements

- Linking to 2-1-1 & user interface

- Launch date: September 2014

In progress

- Widespread use by stakeholders

- Better understanding of community needs

- Better coordination of services

- More data-informed giving and grant making

- More efficient allocation of public resources

What does success look like?

- Better lives for low-income families

- Fewer unmet basic needs

What does success look like?

• How do you anticipate using the 2-1-1 Data Dashboard?

• How do you see the Dashboard helping you and your community?

• What questions or concerns have you had about the Dashboard?

Questions for panel

Questions or comments?

• Perfect is the enemy of good

• Designing for local vs. national • Data challenges

• Hosting the dashboard

Discussion topics

• Nikki Caito, project manager

• Balaji Golla, lead programmer • Chris Casey, lead designer • Shaina Sowles, project assistant

Our team