Why do so many visualisations make poor or ineffective use of the colour gamut of a device? The trend with colour management systems is to increasingly automate gamut mapping operations so that the user does not need to know about gamut constraints of devices being used. Is this well-advised, bearing in mind the complex set of decisions needed for any given set of data, task, and gamut characteristics? An alternative approach is to stimulate implicit learning about device gamut capabilities, so that users gain the awareness and skills required to make sensible gamut mapping decisions that are appropriate for the task being undertaken. This paper describes the use of metavisualisations - interactive visualisations of perceptual colour gamuts that describe the colour mappings applied to generate a visualisation—to help users select appropriate colour mappings. The scope for applying incremental intelligence to these metavisualisations to support automation of gamut mapping will also be described. Such an approach is consistent with the overall process of visualisation, being a strategy of helping a user recognise salient characteristics, and develop and apply expertise, rather than supplanting the expertise of the user with automated techniques.