B2B • SaaS • Fintech

Cross-platform features

Cross-platform features

Fonoa’s cross-platform features are built to enhance productivity, usability, and security for enterprise clients.


In collaboration with the talented designers Nemanja and Laura, we optimised and refined each feature through competitive analysis, usability testing, and cross-functional feedback, balancing technical feasibility with user needs.


Having a robust and modular Design System allows us to quickly build the cross-platform features whilst maintaining a cohesive user experience.

B2B • SaaS • Fintech

Information Display: Data Table

Information Display: Data Table

Information Display: Data Table

Design Approach:

Cater to different user workflows, reduce cognitive load, and allow users to maintain focus on critical data points

Provide context whilst maximising data points in view: String truncation with tooltips, sticky column and row headers ensure the users always have the context of information in view, whilst optimising the page real-estate for maximum information display.

Design Approach:

Cater to different user workflows, reduce cognitive load, and allow users to maintain focus on critical data points

Provide context whilst maximising data points in view: String truncation with tooltips, sticky column and row headers ensure the users always have the context of information in view, whilst optimising the page real-estate for maximum information display.

Design Approach:

Cater to different user workflows, reduce cognitive load, and allow users to maintain focus on critical data points

Provide context whilst maximising data points in view: String truncation with tooltips, sticky column and row headers ensure the users always have the context of information in view, whilst optimising the page real-estate for maximum information display.

Iterations

Enabling customisations to improve workflow efficiency: allowing users to select, reorder, and hide columns helps prioritise relevant data for each user’s mental model and workflow whilst minimising information overload.

Iterations

Enabling customisations to improve workflow efficiency: allowing users to select, reorder, and hide columns helps prioritise relevant data for each user’s mental model and workflow whilst minimising information overload.

Iterations

Enabling customisations to improve workflow efficiency: allowing users to select, reorder, and hide columns helps prioritise relevant data for each user’s mental model and workflow whilst minimising information overload.

Impacts

Task Completion Time improved by 15% in conjunction with Advanced Query.

Impacts

Task Completion Time improved by 15% in conjunction with Advanced Query.

Impacts

Task Completion Time improved by 15% in conjunction with Advanced Query.

Data Query: Filters

Data Query: Filters

Data Query: Filters

Design Approach:

Filters were initially designed to quickly narrow down datasets, simplifying data-heavy workflows.

Design Approach:

Filters were initially designed to quickly narrow down datasets, simplifying data-heavy workflows.

Design Approach:

Filters were initially designed to quickly narrow down datasets, simplifying data-heavy workflows.

Iterations

To facilitate a more granular, precise query, we introduced advanced filtering capabilities such as include/exclude (and/or) options and boolean logic (true/false).

Iterations

To facilitate a more granular, precise query, we introduced advanced filtering capabilities such as include/exclude (and/or) options and boolean logic (true/false).

Iterations

To facilitate a more granular, precise query, we introduced advanced filtering capabilities such as include/exclude (and/or) options and boolean logic (true/false).

Impacts

Task Completion Time improved by 15% in conjunction with Customisable Data Table.

Impacts

Task Completion Time improved by 15% in conjunction with Customisable Data Table.

Impacts

Task Completion Time improved by 15% in conjunction with Customisable Data Table.

Manual Data Ingestion

Initially a manual ingestion tool, the CSV Upload feature gained importance after Sales feedback highlighted its demo value. We enhanced it with real-time Data Mapping and Enrichment previews to better showcase Fonoa’s capabilities.

Manual Data Ingestion

Initially a manual ingestion tool, the CSV Upload feature gained importance after Sales feedback highlighted its demo value. We enhanced it with real-time Data Mapping and Enrichment previews to better showcase Fonoa’s capabilities.

Manual Data Ingestion

Initially a manual ingestion tool, the CSV Upload feature gained importance after Sales feedback highlighted its demo value. We enhanced it with real-time Data Mapping and Enrichment previews to better showcase Fonoa’s capabilities.

Impact on User Workflow:

The improved CSV Upload feature provides clients with clearer insights into Fonoa’s capabilities, reducing errors by identifying issues early in the ingestion process.

Impact on User Workflow:

The improved CSV Upload feature provides clients with clearer insights into Fonoa’s capabilities, reducing errors by identifying issues early in the ingestion process.

Impact on User Workflow:

The improved CSV Upload feature provides clients with clearer insights into Fonoa’s capabilities, reducing errors by identifying issues early in the ingestion process.

Strategic Impacts

Simplifying complex technical concepts such as API for Tax Managers, enhancing product appeal and unlocks new commercial opportunities.

Strategic Impacts

Simplifying complex technical concepts such as API for Tax Managers, enhancing product appeal and unlocks new commercial opportunities.

Strategic Impacts

Simplifying complex technical concepts such as API for Tax Managers, enhancing product appeal and unlocks new commercial opportunities.