Open Data
From data to the person: Because data without human processes does not transform realities
Every process, project, campaign, or intervention generates indicators, dashboards, reports, charts, and databases; it would seem that currently, everything can be measured. In the private, public, and social sectors, the belief has been established that the more data we have, the better decisions we can make. However, experience shows us that this is not always true, as having more data does not necessarily mean a better understanding of reality.
A dashboard full of indicators can show trends, percentages, and alerts, but it does not always explain what is behind those numbers. It can tell us how many people participated in an activity, how many services were delivered, or how much money was spent, but it will hardly tell us if an intervention managed to change an experience, resolve a need, or open up a concrete opportunity for a company or community.
In recent years we have seen a growing number of indicators with the organizations we have worked with, increasingly sophisticated reports, with attractive visualizations and large volumes of information, but often those data feel far from people's daily lives. The information exists, but it does not always converse with the reality it seeks to transform. That is where a key question appears: what are we measuring for?
Because evidence, when managed correctly, should not just be a historical record of what happened, it should function as a compass to decide what we can do in the future. The value is not only in documenting results, but in reducing uncertainty, guiding decisions, and allowing organizations to learn continuously.
At CÍVICA we have learned that the true value of evidence and data does not lie in the quantity, but in its capacity to generate better questions and make wiser decisions. In these years we have seen that many organizations continue to view monitoring and evaluation as a burden, a requirement to comply with donors, audits, or institutional reports; however, we propose to look at it from another place: evidence not as a bureaucratic procedure, but as an engine for continuous improvement.
This implies not seeing data as the final destination but as a tool to initiate conversations, identify patterns, recognize gaps, or question assumptions. But they require being interpreted from the contexts where things happen; they need to meet the voices and needs of the people.
Our experience from Civic Design has been not only to design for people, but to design with and for them. Having platforms, metrics, or digital tools is not enough if there are no participatory processes that allow for interpreting, validating, and using that information to make better decisions. Putting civic design at the center does not mean abandoning data; it means using it better.
It means understanding that behind every indicator there is a story, a need, a pending decision, or an opportunity for improvement. It means moving from only asking "what did this report measure?" to questioning ourselves "what does this data allow us to change today?". That difference is fundamental.
The challenge is not to have more information, but to build better processes to turn that information into learning, decision-making, and transformation. Because when data becomes disconnected from people, it becomes noise. But when it is integrated into human, participatory, and strategic processes, it becomes useful evidence. And when that evidence is put at the service of decision-making, it can become the engine of real and sustainable transformation.
Because in the end, data matters not for what it accumulates, but for what it allows us to change.
