Case study

From weeks of data center due diligence to hours

Company
Built for
  • A global leader in cloud infrastructure and data centers
Scope
Navigation, information hierarchy, data visualization, map and insights
Worked with
Product, Engineering, Data

Interfaces are reconstructed to respect client confidentiality.

Site under evaluationPower gridFlood mapsWetlandsCritical habitatProtected areasSite assessment5 categories · analysing…Land & constructabilitySuitableZoning & permittingCompliantWaterSecuredNatural resourcesClearNatural hazardsLow riskSite shortlistedSuitability86

The context

Finding the right place to build a data center starts long before construction.

Before committing to a site, teams need to understand whether a location can actually support a data center — from power and water availability to environmental constraints, permitting, connectivity, constructibility, and more.

Civarea was created to bring that early-stage due diligence into one product.

The problem

Critical issues were often discovered too late and the data is scattered all over different systems.

Evaluating a potential site meant gathering information from many different sources and relying on lengthy expert analysis and expensive tools. Teams could spend weeks evaluating a location before uncovering a constraint significant enough to reconsider it.

The question was simple: Can we identify those risks earlier?

Why it was hard

Hundreds of data layers had to make sense in a single experience.

The data was already there, we just needed to grab it and present it in a meaningful way. The design challenge was deciding how to turn it into a usable product: what users needed to see first, how they would move through the assessment, how hundreds of data points could coexist on an interface, and how to reveal detail without overwhelming them.

My role

When I joined the project the Product Manager told me “Maria, we need to make this make sense”. My job was to turn the very first iteration of the app (that was designed and developed by engineers) into a product people could actually use.

I redesigned the experience from the ground up around the user’s decision-making process — rethinking navigation, information hierarchy, data visualization, and how users progressively move from a big picture into the smallest of details.

My focus was deciding how much information to show, when to show it, and what users needed to see.

The decisions that shaped the product

  1. Design around how users think

    Decision
    Structure the navigation around the user’s evaluation flow.
    Over
    Organizing the product around the underlying data and system structure.

    The first iteration exposed information without a clear journey. I reframed the experience around the questions users naturally ask as they evaluate a site.

  2. Make hundreds of layers readable

    Decision
    Use map layers to progressively reveal different types of information.
    Over
    Showing all available data at once.

    The challenge wasn’t access to data, but making a large amount of spatial information understandable on a single screen.

  3. Answer “so what?”

    Decision
    Turn findings into insights that explain their relevance and impact.
    Over
    Simply telling users what the system found.

    Knowing that a risk exists isn’t enough. Users need to understand why it matters and what deserves further investigation.

The evolution

Layer_v2_FINALraster: 142 / vector: 96ERR 404 – source?dataset_09b.geojson
Site evaluationExportLand & constructabilityZoning & permittingWaterNatural resourcesNatural hazardsMap layersFlood mapsWetlandsCritical habitat
Site evaluationExportLand & constructabilityZoning & permittingWaterNatural resourcesNatural hazardsMap layersFlood mapsWetlandsCritical habitatSite evaluation reportKey insights · 3 to investigate86Flood exposureHighWhy it mattersPart of the site sits in a 100-year flood zone, which can addcost and delay to permitting.Grid capacityMediumWhy it mattersThe nearest substation is close, but available capacity maylimit the first phase.Protected habitatLowWhy it mattersA habitat area borders the site. Worth confirming setbacksearly.Investigate next
  1. Information without structure

    The first iteration had the data, but the experience was fragmented and difficult to navigate.

  2. A product organized around the user

    Navigation, hierarchy, and visualization were redesigned around how teams actually evaluate a site.

  3. From data to insights

    The experience evolved beyond showing what was found to explaining why it matters and what users should investigate next.

Outcome

From a collection of data to a product built around decisions.

I turned an early, fragmented interface into a structured site-evaluation experience — creating a clear navigation model, making hundreds of spatial layers easier to explore, and connecting findings to the context users need to decide what to investigate next.

Lessons learned

  1. Information hierarchy matters.

    When everything is important, nothing feels important. Clear hierarchy became essential to making hundreds of layers usable.

  2. Trust needs an explanation.

    For high-stakes decisions, showing a result isn’t enough. Users need to understand where it came from and why it matters.

  3. Design for the decision, not the data.

    The goal wasn’t to expose everything the system knew. It was to surface what users needed to decide what to do next.