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What's your data-driven program strategy?

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Data is essential for non-profit program development, but how do you use it effectively to design, implement, and evaluate your interventions? A data-driven program strategy is a systematic approach that helps you align your goals, activities, and outcomes with relevant and reliable evidence. In this article, you will learn how to create and apply a data-driven program strategy in six steps.

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Rebecca Missel

Consultant Helping Others Discover the Power of Authentic Relationships

1 Assess your needs

The first step is to identify and prioritize the problems or opportunities that your program aims to address. You need to conduct a comprehensive and participatory needs assessment that involves your stakeholders, beneficiaries, and partners. A needs assessment helps you understand the context, causes, and consequences of the issues you want to tackle, as well as the existing resources and gaps.

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Rebecca Missel

Consultant Helping Others Discover the Power of Authentic Relationships
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Before you can implement any strategy, you need to understand your stakeholders, supporters and end users. I have found it helpful to conduct surveys and focus groups with stakeholders - ESPECIALLY from end users - to gather their input on what they believe the organization should focus on. This can provide valuable insights into their needs and preferences.

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2 Define your objectives

The next step is to translate your needs into clear and specific objectives that guide your program design. You need to define what you want to achieve, for whom, and by when. You also need to establish how you will measure your progress and success. A good way to do this is to use the SMART criteria: your objectives should be specific, measurable, achievable, relevant, and time-bound.

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Ryan C. Brooks

Civic Minded SaaS Founder || Helping Nonprofits with Data
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I've connected with a lot of nonprofits in recent months, and they can embrace multiple perspectives about their data. They can collect data for: (1) Compliance and accountability. "Funders make us do it". (2) To learn more about individuals and enhance how they deliver services to those individuals. For example, knowing special dietary needs, preferred contact method, or mobility restrictions about a person means you can provide better services to them. (3) To improve programs. For example, you can conduct basic demographic analyses to determine if you produce better outcomes for people with certain gender, race, or educational characteristics. Knowing your perspective will help you define your objectives.

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3 Plan your activities

The third step is to plan the activities that will help you reach your objectives. You need to map out the logical sequence of actions, inputs, outputs, and outcomes that link your program components. You also need to identify the assumptions, risks, and external factors that may affect your program implementation. A useful tool to do this is the logic model, which is a visual representation of your program theory and assumptions.

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4 Collect your data

The fourth step is to collect the data that will inform your program decisions and demonstrate your program results. You need to determine what data sources, methods, and tools you will use, as well as how you will manage, analyze, and report your data. You also need to ensure that your data collection is ethical, reliable, and valid. A data collection plan can help you organize and document your data collection process and procedures.

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5 Use your data

The fifth step is to use your data to inform your program decisions and improve your program performance. You need to analyze your data to identify patterns, trends, and gaps, as well as to test your assumptions and hypotheses. You also need to communicate your data findings to your stakeholders, beneficiaries, and partners, and solicit their feedback and input. A data analysis and reporting plan can help you structure and present your data analysis and findings in a clear and compelling way.

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Ryan C. Brooks

Civic Minded SaaS Founder || Helping Nonprofits with Data
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This is the biggest challenge, in my opinion. We call all set up a spreadsheet and track the good stuff being done, but pulling that data back out of the spreadsheet (or combining data from lots of spreadsheets) is a big challenge. The basic questions most nonprofits will want to answer are (1) "what and how much?" - What are we doing and how much of it (500 meals, 250 tutoring sessions, 75 jobs obtained, etc) (2) How well are we doing it? This is the trickier question to answer. Certainly, orgs can look at success rate gaps between different groups and learn a lot. Ideally they can also develop compelling "proof" that they are good at their work - not that they simply do a lot of it.

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6 Review your strategy

The sixth and final step is to review your data-driven program strategy regularly and adapt it as needed. You need to monitor your program implementation and outcomes, and evaluate your program effectiveness and impact. You also need to reflect on your data-driven program strategy and identify what works, what doesn't, and what can be improved. A data-driven program strategy is not a static document, but a dynamic and flexible framework that evolves with your program context and learning.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Ryan C. Brooks

Civic Minded SaaS Founder || Helping Nonprofits with Data
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An important thing to consider is what data you should not collect or don't need. I've been guilty of collecting "just in case it's useful" data that never turned out to be useful, or I didn't put in the time to analyze it. I think it's reasonable to have a small number of "just in case it's useful" fields. But those need to be regularly reviewed and potentially replaced or dropped if they don't produce meaningful insights.

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What's your data-driven program strategy?

1

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3

4

5

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1 Assess your needs

2 Define your objectives

3 Plan your activities

4 Collect your data

5 Use your data

6 Review your strategy

7 Here’s what else to consider

Non-profit Program Development

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What's your data-driven program strategy?

1

2

3

4

5

6

7

1 Assess your needs

2 Define your objectives

3 Plan your activities

4 Collect your data

5 Use your data

6 Review your strategy

7 Here’s what else to consider

Non-profit Program Development

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