I conducted user interviews to identify pain points that users were experiencing with the current pipeline feature. This allowed me to gather valuable insights that informed the design of a more user-friendly.
Inconsistent Color Usage: Colors used to represent different stages and categories in the data pipeline are not standardized. This inconsistency causes confusion as users cannot easily associate specific colors with particular stages or categories, leading to misinterpretations of the data.
Lack of Meaningful Color Representation: The current color choices do not adequately reflect the meaning or significance of the stages and categories they represent. Users need a color scheme where each color intuitively conveys the meaning of the stage or category, enhancing clarity and usability.
Inconsistency Across Product Areas: There is a lack of uniformity in color usage across different areas of the product. This inconsistency further exacerbates the difficulty users face when interpreting data visualizations, as they cannot rely on a consistent color scheme across the entire product.
