The Question Should Always Come Before the Dashboard

Why nonprofit data strategy shouldn’t begin with technology

A few weeks ago, a few of us were sitting in a conference room with the leadership team of a nonprofit organization, preparing to launch a significant initiative around nonprofit data strategy by surveying their current technical and data stack. There was real momentum in the room. Everyone agreed the organization needed to do something—and do it quickly. Years of growth had created disconnected systems, inconsistent reporting, and increasing frustration with how difficult it had become to answer seemingly simple questions. Leadership was ready to invest in better technology, and there was broad organizational support for moving forward.

It had become difficult to answer what seemed like straightforward questions:

“How big is our house file?”

“How many active donors do we have?”

There are varying answers depending on the report or query and the person who runs it; however, it seems there’s no common definition for those measures and where they should be produced.

Did “active” mean donors who had given during the current fiscal year? The last twelve months? The calendar year? Did sustainers count differently? What about donor advised fund gifts, household giving, or soft credits? Were advocacy supporters included if they had recently made a gift? Is the house file everything in Revolution CRM, or are we also including other sources?

No one is avoiding the questions. Different staff members genuinely believe they know the answer. They simply aren’t answering the same question.

That meeting has stayed with me because it exposed something far more important than inconsistent reporting. The organization’s biggest challenge wasn’t technology. It wasn’t necessarily dashboards or data quality either. It was the absence of a shared understanding of what leadership was actually trying to measure.

Everyone had the right answer.

They simply weren’t answering the same question.

We’ve Been Starting in the Wrong Place

Over the years, I’ve found myself in remarkably similar conversations with organizations of every size. Their missions are different. Organizational structures are different. Their technology stacks are different. Yet the pattern repeats itself with surprising consistency. Leadership recognizes that it needs better information, assumes the answer lies in better technology, and begins evaluating dashboards, data platforms, reporting environments, or artificial intelligence before agreeing on the questions those investments are intended to answer.

That’s understandable. The nonprofit sector has made extraordinary progress in data and analytics over the past decade, and today’s organizations have access to capabilities that would have seemed almost unimaginable only a few years ago. Better technology has unquestionably improved what organizations can do with their data.

What it has not done is determine which questions deserve leadership’s attention. That responsibility has always belonged to people.

For years, much of our own work focused on helping nonprofit organizations connect systems, improve reporting, and build stronger data foundations. Those efforts remain essential. In The Data Compass, we argued that organizations should begin with strategy rather than technology.

Experience has refined that thinking. I’ve gradually come to believe that even strategy has a starting point. Before leadership can define meaningful use cases, determine what data matters, or evaluate technology, it must first agree on the decisions it is trying to improve.

The Pattern We Couldn’t Ignore

Once the conversation shifts toward decisions instead of technology (and invariably AI), something interesting begins to happen. Rather than debating reports, leadership begins discussing priorities. Instead of asking what a dashboard should display, teams begin asking what information would actually change a decision.

When Common Cause began building what eventually became an operational intelligence environment, the earliest conversations were not about visualization tools or data models. State leadership wanted to understand how fundraising, advocacy, organizing, finance, and operations fit together to provide a more complete picture of organizational performance requirements, in a simplified format that didn’t involve submitting a ticket to have reports produced. Those weren’t reporting requirements. They were management questions.

We’ve observed similar patterns with organizations like WHYY and with nonprofits exploring proof-of-concept initiatives. Eventually, we stopped viewing these as isolated success stories. We started seeing a pattern.

Decisions Before Data

Leadership begins with mission and strategy. Strategy gives rise to recurring questions. Those questions shape decisions. Decisions define use cases. Use cases determine what data is required. Only then does it make sense to discuss dashboards, analytics, artificial intelligence, or technology platforms.

The framework captures a simple observation: organizations that begin with shared questions tend to make better decisions about everything that follows. Every dashboard is an answer to a question. If leadership hasn’t agreed on the question, the dashboard simply becomes another place where different interpretations compete for attention.

The Five-Minute Test

Think about the three to five questions your executive team asks most often.

Can your organization answer each one consistently? Would every department trust the answer? Can the answer be produced in less than five minutes? Most importantly, does the answer naturally lead to a decision?

If those questions spark debate over definitions and whose numbers are correct, the organization may not have a reporting problem at all. It may have an alignment problem.

Becoming Question-Driven

For years, the nonprofit sector has focused on becoming more data-driven. Those advances deserve to be celebrated.

At the same time, I suspect the organizations that distinguish themselves over the next decade will not simply become more data-driven. They’ll become more question-driven.

The purpose of a nonprofit data strategy has never been to improve reporting.

Its purpose is to improve organizational decision-making.

Everything else follows from there.

Questions shape strategy.
Data enables answers.
Technology is simply the delivery mechanism.

Does your organization need help in articulating its most important questions? Let’s talk.