Continuous dynamical systems can be used to study a wide variety of phenomena in biology, economy, engineering and computer science. These systems usually contain parameters which significantly influence their behaviour. Such influence is traditionally studied using the apparatus of bifurcation analysis. However, current numerical and analytical methods for bifurcation analysis are hard to automatise, do not scale well in the number of parameters, and are often limited to specific canonical models. In this work, we present a novel approach to bifurcation analysis which assumes a suitable discrete abstraction of the continuous system and employs model checking to discover the critical parameter values, referred to as bifurcation points. To distinguish a qualitative change in the system's behaviour, we rely on the notion of behavioural patterns (cycle, equilibrium, saddle, etc.), also known as phase portraits. We define a hybrid extension of CTL logic with direction formulae in order to specify such patterns. We demonstrate the method on a model of a bistable genetic switch mechanism taken from systems biology.