Intro

Users needed a quick way to understand if their data was flowing correctly, without manually checking tables.

My role

I was the sole designer on this feature, responsible for translating product requirements into a clear and usable experience.

My work included designing the data visualisation, restructuring parts of the Data Management Console (DMC), and defining interactions.

The problem

Previously, users had to review tables of numbers to spot data drops or anomalies.This was slow, error-prone, and difficult to scale across multiple connectors.

The solution

Introduced a visual layer that allows users to monitor data ingestion at a glance and investigate issues when needed.

The visualisation is used in two contexts:

• Connector cards → quick scanning across multiple connectors
• Detail view → deeper analysis of a single connector

key decisions

• Bar chart for clear comparison of daily values
• Default 7-day view for quick scanning
• Flexible time range in detail view only
• Warning indicators to highlight anomalies

Interaction and collaboration

Defined interactions such as hover states, empty states, and anomaly indicators, iterating with engineering to ensure clarity and performance. Beta varsion released to select clients to gather initial feedback.

outcome

Replaced a manual, table-based process with a clear visual overview. Users can now quickly identify anomalies and investigate issues without relying on support.