Hi team, quick question about the visualizations roadmap - are there any plans to introduce an OOTB control chart visualization? If not, is the current recommendation for building control charts to use combo charts with multiple lines?

I'm sorry, but there's no information in the knowledge sources about plans to introduce an out-of-the-box control chart visualization in GoodData. The July 2026 roadmap mentions upcoming visualization updates, but these are limited to: [Roadmap] • Mekko Chart (variable-width columns) • Customizable line appearance per series • Pie chart label position control • Pivot table "totals" renaming There is no mention of a control chart type. Regarding your second question — using a combo chart as a workaround for control charts is a reasonable approach. A combo chart in GoodData can combine column, line, and area chart types in a single visualization, which gives you flexibility to overlay multiple lines (e.g., a center line, upper control limit, lower control limit) on top of a data series. [Combo Chart Docs] Specifically, you could: • Use the Metrics (as lines) section to plot multiple line series representing your control limits and mean line. • Use the secondary y-axis option if needed for scale separation. • Use the View by section with a date/time attribute to show the process over time. That said, the knowledge sources don't explicitly document a recommended pattern for building control charts, so I'd suggest reaching out to GoodData support or the community for more tailored guidance on this use case. 👍 0 button 👎 0 button ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups. 👀 Our Support team monitors all messages and will jump in if needed.

Hello Anant, As our AI assistant explained, GoodData Cloud doesn't currently offer a native control chart as a built-in visualization type. I will submit this as feedback to our product team for consideration. As for the workarounds, you could also try using a Line chart with calculated limit lines by creating MAQL metrics for your mean, UCL, and LCL (typically mean ± 2 or 3 standard deviations of your measure), then plot your raw metric alongside these as separate series on a line chart over your date/time attribute. Alternatively use a custom dashboard plugin.