Detalhes do Projeto
CLIENTE
Dataloop Analytics
PAÍS
Netherlands
SERVIÇO
SaaS Dashboard UI
PRAZO
7 Weeks
O CONTEXTO
Nuvo is a B2B analytics dashboard designed for product and marketing teams who rely on data to make day-to-day decisions.
While the platform offered powerful analytics capabilities, it wasn’t built for the people actually using the insights. The redesign focused on making complex data easier to understand and act on — especially for non-technical stakeholders who needed quick clarity, not deep analysis.
O DESAFIO
The biggest gap wasn’t in the data — it was in accessibility.
The existing dashboard was heavily geared toward analysts, with dense layouts and complex interactions that required prior knowledge to navigate. Product managers and marketers, who were key decision-makers, found it difficult to extract value from the tool.
As a result, many teams avoided the dashboard altogether and relied on manual workflows like spreadsheets and exported reports, which slowed down decision-making and reduced trust in the platform.
O QUE FOI FEITO
The redesign focused on aligning the product with how users actually think and work.
Instead of organising the dashboard around data structures, it was restructured around three core user goals — monitoring performance, identifying unusual patterns, and sharing insights with others. Key metrics were surfaced upfront to give immediate clarity, while more advanced controls were kept accessible but secondary through progressive disclosure.
The goal was to reduce cognitive load and help users move from “looking at data” to “understanding what to do next.”
O RESULTADO
The new dashboard made data feel more approachable and usable across teams.
Non-technical users were able to navigate the platform with more confidence, reducing their reliance on external tools like spreadsheets. Tasks that previously required manual effort — such as compiling and sharing reports — became faster and more streamlined within the product itself.
Overall, the redesign helped shift the dashboard from being an underused analytics tool to something teams could rely on regularly for decision-making.
9
Stakeholder Interviews Conducted
3
Core User Jobs Designed Around
70%
Reduction in Time to Find Key Metrics
5
Chart Types Simplified to What Users Actually Needed
