During a simulation, you talk to an AI prospect playing a realistic role. If it feels "difficult" or closed off, that's almost always intentional.
The prospect pushes back: that's normal
The AI prospect isn't easily convinced. It holds its position until you make the right argument, the one that truly answers its need or sets you apart from the competition. This isn't a bug: it's the exercise's difficulty level.
In other words: if you're going in circles, it's not that the prospect is broken, it's waiting for a specific argument you haven't made yet.
How to move it forward
- Listen to its real objection instead of running through your pitch. The prospect reacts to what you say.
- Make the differentiating argument expected on that segment (it's often the key that unlocks the rest).
- Validate the severity of the problem before proposing: the prospect moves forward when it feels understood.
A prospect that stays stuck is a useful signal: that's exactly where the score will point you to the technique that was missing. Replay the simulation aiming for that specific move.
It's not meant to be easy
The goal of training isn't to "win" fast, but to reproduce a real sales conversation, objections included. A prospect that folds at the first argument wouldn't teach you anything.