Contact

Contact us

Data & analytics

Analytics interfaces that connect information with a decision.

Dashboard and data visualization design for analytics products. Explore music analytics and property monitoring work, with reusable charts, tables and filters.

Connect the product problem with a clear approach.

Product challenge

Too much information at once

Charts, tables and summaries compete for attention unless the page reflects the decisions users need to make.

Our starting point

Define the decision model

Identify who uses the data, which questions they ask and how often they return. Agree on definitions, source limitations and meaningful comparisons.

Experience behind our approach

Dashboard for property compliance
1
Explore property monitoring
Case studies informing our approach
3
Published work behind our data & analytics perspective, including relevant adjacent products.
Explore related work
Services for this product context
3
Explore relevant services

Violations, permits, hearings and notifications brought into a single overview.

Connected industry guides
3
Explore industries

Start with the question behind the dashboard

A useful dashboard helps someone understand a situation, compare information or identify an action. Our work spans music promotion analytics, property monitoring and student wellbeing assessments. Each requires a different information model, but all depend on readable hierarchy, clear context and consistent visual patterns.

Where the experience gets complicated

  1. Too much information at once

    Charts, tables and summaries compete for attention unless the page reflects the decisions users need to make.

  2. Ambiguous comparisons

    Color, time ranges, units and filters need to communicate consistently when users compare multiple data series.

  3. An unclear next action

    People need a route from overview to supporting detail, especially when the information identifies an issue.

How we approach it

  • Identify who uses the data, which questions they ask and how often they return. Agree on definitions, source limitations and meaningful comparisons.

  • Design the hierarchy between summaries, charts, tables and detail views. Preserve context when users filter, compare or drill into information.

  • Define chart colors, labels, legends, units and states. Carry the same rules across dashboards and implementation documentation.

  • Review sparse, dense, missing and changing datasets. Validate comprehension and visual QA with the product and engineering teams.

Related work and reading

Music analytics with consistent chart patterns

A B2B platform connecting dense information with a structured visual language and design system.

View case study

Portfolio data connected to operational priorities

Property dashboards with search, filters and clear information about violations, permits and deadlines.

View case study

Services for your product

Product design and UX/UI

UX structure, prototyping, interface design and implementation support for SaaS, marketplaces, mobile apps and complex digital products.

Explore service

Design systems

Figma libraries, semantic tokens, reusable UI components, product patterns, documentation and adoption support.

Explore service

Design engineering

Functional prototypes, production frontend interfaces, mobile experiences and reusable design systems in code.

Explore service

Common questions

Explore connected industries

SaaS

SaaS product design for onboarding, dashboards and complex workflows. Explore Clearl’s analytics and operational platform work, UX audits and design systems.

Explore industry

Real estate & PropTech

PropTech product design for property portfolios, compliance tracking and operational dashboards. Explore Clearl’s property monitoring platform experience.

Explore industry

Healthcare & wellbeing

Product design for wellbeing assessments and fitness experiences. Explore Clearl’s work with student wellbeing dashboards and the Fitpool mobile platform.

Explore industry
All industries

Turn a dense dashboard into a clearer decision.

Bring the questions your users need to answer and the data they currently work with.

Discuss your product