We're collecting more information than ever. Why doesn't it lead to better decisions?

Over the past decade, organizations across the social sector have made significant investments in data. They've strengthened evaluation practices, built dashboards, introduced new reporting requirements, expanded CRM systems, and become much more intentional about measuring their work.Those investments have been worthwhile. Better information has helped organizations understand their impact, communicate with funders, and make more informed decisions. At the same time, we've noticed another pattern emerging in our work with clients.

Many organizations aren't struggling because they lack information. They're struggling because they haven't built consistent ways to turn that information into action. Reports are written, surveys are completed, indicators are updated and dashboards are reviewed, but when it’s time to make an important decision organizations still struggle. Whether it's refining a program, adjusting strategy, or deciding where to invest resources, people often find themselves relying on experience, instinct, or whatever information happens to be easiest to find.

That is because collecting information and using it well are two different capabilities.

When measurement becomes the goal

One of the biggest shifts we've seen over the years is that many organizations have become much more focused on trying to measure what they do. That's good, however, in many cases, measurement has become the finish line instead of the starting point, and reports are reproduced because they’re required and indicators continue to be tracked just because they have always been tracked. 

None of this happens because organizations are doing something wrong. Most are operating with limited time, competing priorities, and increasing expectations from funders, boards, and communities. When you're busy delivering programs and reporting on outcomes, it's easy for the work of learning to become secondary to the work of measuring.

We've found that asking a simple question can change the conversation:

What decisions is this information helping us make?

If the answer isn't clear, it doesn't necessarily mean the information isn't valuable. It may mean the organization hasn't yet created the conditions for that information to be used effectively.

From information to action

This is one of the reasons we've started talking about learning systems.

For us, a learning system isn't another technology platform or another reporting framework to implement. It's the combination of practices that help an organization move from information to action. It starts by understanding which decisions matter most. From there, it becomes easier to identify which information genuinely supports those decisions, where it should live, how often it should be discussed, and who needs to be involved in turning insights into action.

When those pieces work together, information becomes more than something that's collected or reported. It becomes part of how the organization learns and improves over time.

Why we're talking about this now

This conversation has become even more important as organizations explore artificial intelligence and other technologies that promise to help them make better use of data.

These tools are creating exciting opportunities, but they also expose a reality that has always existed: technology can help analyze information and surface patterns and summarize findings. What it can't do is decide which questions matter, create the routines that encourage reflection, or build conditions where evidence consistently informs action.

In our experience, the organizations that are getting the most value from new technologies aren't necessarily the ones with the largest datasets, but the ones that have already invested in understanding how information supports decisions.

Building conditions for learning

For years, DARO has helped organizations strengthen their approaches to strategy, measurement, evaluation, data, and decision-making. Across all of that work, we’ve found ourselves often returning to the same underlying challenge as a first step in most of our projects: how do organizations make better use of what they already know?

There is no single tool or technology that solves this challenge. It requires organizations to connect the information they collect to the decisions they need to make, create space to interpret that information together, and build clear pathways for learning to influence programs, operations, and strategy.

That work often begins with a few practical questions:

• What decisions do we need to make more confidently?

• What information would help us make those decisions?

• Where and when should that information be discussed?

• Who needs to be part of the conversation?

• What happens after something important is learned?

Many organizations do not necessarily need more data. In many cases, they need stronger connections between the information they already have, the people responsible for interpreting it, and the decisions that shape their work.

That is what a learning system is designed to support. Not simply more measurement, reporting, or analysis, but the conditions that allow information to change what an organization does.

Want to hear more about our learning systems? We’re always happy to chat about what it looks like on a practical level and how it might help address challenges your facing.