Resources

Learn how to improve your data practices, make informed decisions, and enhance your impact.

Why qualitative data matters
Quantitative data does not always explain how to fix emerging problems. That’s where qualitative data comes in.
99 Problems and AI is one (Part II): Proceeding with caution
A few weeks ago, I attended the Nonprofit Technology Conference in Portland, OR. Interestingly, almost every session I attended discussed the pros and cons of using AI.
99 Problems and AI is one: Confessions of an AI skeptic
It's a hot topic, and I know I need to stay current on emerging technology. But I've got to tell you, I'm skeptical.
The B-Word: Types of bias in research and how to avoid them
For nonprofits interested in using data for strategizing, evaluation, and advocacy, it is essential to understand the different types of bias and how to avoid them.
What is statistical significance and does your project need it?
When nonprofit leaders come to me with project ideas, one of their concerns is ensuring the research is statistically significant. However, there's often confusion about what this phrase really means.
What makes research "valid"?
Ensuring validity means that the project team has taken steps to avoid making common mistakes in research design, data collection, and data analysis.

Upcoming Events

Friday, May 22nd, 2026 | 10 AM MST
Data Coaching Info Session: May 22nd

Join us for a free info session to learn more about our Data Coaching program! We'll cover the program content, structure, goals, and benefits for individuals and organizations. All participants will also receive a discount code for registration as a thank-you for attending.

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Friday, April 24th, 2026 | 11 AM MST
Data Coaching Info Session: April 24th

Join us for a free info session to learn more about our Data Coaching program! We'll cover the program content, structure, goals, and benefits for individuals and organizations. All participants will also receive a discount code for registration as a thank-you for attending.

Learn More
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