How can a nonprofit become more data-driven? Start with strategy, not dashboards. Define what success looks like, choose a small number of meaningful financial and operational measures, identify the data needed, interpret that information in context, and use it to guide decisions and resource allocation. A practical framework is: Strategy → Success Defined → Measure → Data → Insight → Decision → Impact.

How to Build a Data-Driven Nonprofit: Start With Strategy

Every nonprofit wants to make better use of its data. But becoming a data-driven organization does not start with adding more KPIs or building another dashboard. It starts with strategy.

Nonprofits already collect significant amounts of financial, operational, programmatic, fundraising, and workforce data. The challenge is determining which information actually matters and how to turn it into insight that helps leadership make better decisions.

In JMT Consulting’s webinar, From Data to Decisions: Building a Data-Driven Nonprofit, Beth Larsen walks through a practical framework for connecting strategy, measurement, data, decision-making, and mission impact.

Start With What You Are Trying to Accomplish

Organizations often begin by asking what they should measure, what data they already have, which KPIs they should track, and what belongs on their dashboards. Those questions matter, but they come too early.

Starting with available data can cause an organization to measure what is easy to access rather than what is strategically important. Instead, begin with a specific organizational priority and ask: What are we trying to accomplish? Data becomes useful when it helps answer that question.

Define What Success Looks Like

Before selecting metrics, determine what would actually be different if the organization succeeded. For example, if the strategic priority is to increase access to behavioral health services, success could mean more people receive services, people receive services sooner, fewer eligible clients are turned away, and underserved communities have greater access.

Defining these outcomes creates a much stronger foundation for measurement than moving directly from a strategic priority to a list of KPIs.

Measure What Matters

Once success is defined, ask what evidence would tell you it is happening. The goal is not to measure everything. It is to identify a small number of measures that help leadership understand progress.

Those measures may include financial measures such as revenue, expenses, cash position, budget-to-actual performance, or program costs; operational measures such as service volume, wait times, productivity, or utilization; impact measures focused on outcomes experienced by the people or communities served; and capacity measures such as staffing, turnover, vacancies, and workload.

Looking at performance from several angles can also prevent one positive metric from hiding challenges elsewhere in the organization.

Identify the Data You Need

After choosing the measures, determine what information is required to calculate and understand them. Consider what data elements you need, whether you already collect them, where that information lives, what is currently missing, who owns the data, and which system should serve as the source of truth.

This process can reveal gaps between finance, programs, HR, development, and other systems. The important distinction is that your current technology should not determine what matters. First determine what you need to know, then evaluate whether your systems and processes can provide it.

Turn Data Into Insight

Collecting information is only part of becoming data-driven. Leadership also needs context. A single number may mean very little until it is compared with targets, budgets, prior periods, trends, staffing capacity, or other operational information.

That context helps organizations move from simply reporting what happened to understanding why it happened and what it means.

Connect Insight to Decisions

The ultimate purpose of better data is better decision-making. Useful information should help leaders determine where resources should be invested, what needs attention, where operations may need to change, what risks are emerging, and whether staffing or capacity needs to adjust.

The same principle applies to board reporting. Instead of asking only, “What should we show the board?” consider “What decision or discussion should this information support?” That shift can transform reporting from a historical exercise into a strategic management tool.

Close the Loop With Impact

The final question is whether the decision produced the change the organization intended. A data-driven organization continually connects strategy, measurement, information, decisions, and results. If an investment works, the data helps demonstrate why. If it does not, the organization has information it can use to adjust.

A practical way to remember the process is: Strategy → Success Defined → Measure → Data → Insight → Decision → Impact.

Start with one strategic priority. Define what success looks like. Select three to five meaningful measures. Determine what data you need. Then use that information to understand performance and guide decisions.

The goal is not more reporting. It is better decisions that support greater mission impact.