Dynamic Time Granularity - opinions

[Dawid]

I am very curious about people’s opinions on this topic:

Looker Help Center

Dynamic Timeframes for Dimension Groups

You can use parameters to allow users to change timeframes on the fly, like a filter-style toggle where users can choose between rolling up their data at the date, week, or month level. First, assu...

parameter: timeframe_picker {
  label: "Date Granularity"
  type: string
  allowed_value: { value: "Date" }
  allowed_value: { value: "Week" }
  allowed_value: { value: "Month" }
  default_value: "Date"
}

I understand that the main reason for doing it is to switch Dashboard or a Look from one time granularity to another.

To me it was never necessary as I prefer to create multiple dashboards, let’s say weekly, monthly, and yearly and not only include slightly different visualisations but sometimes add things that only apply to certain timeframe.

I’m not saying it’s uselessm therefore no absolute yes/no poll here but I’m trying to find where this type of code becomes over-engineering and when it’s actually adding value.