Address slipping performance calmly and firmly
Someone's work has dropped and the conversation cannot wait any longer. You practise it with an AI avatar first, then see where you went too soft and where you went too hard.
When this module helps
A sample conversation
You name the problem
You open with the standard and where the work is falling short of it, without a long build-up.
You listen to the reason
The avatar explains, minimises or blames circumstances, and you decide how much of that changes your position.
You hold the standard
You acknowledge what you heard and still say clearly what has to be different from now on.
You agree a follow-up
You set what will be checked and when, then read the transcript and the criteria straight after the call.
What you practise
Naming the problem clearly
You state which standard is not being met and what you observed, so the message does not get lost in a friendly opening or a long apology.
Separating the person from the performance
You practise talking about work and behaviour without turning the conversation into a verdict on who somebody is.
Holding the standard under pressure
The avatar explains, apologises or pushes back. You practise repeating what has to change without raising your voice and without backing down.
Listening without dropping the point
You ask what is behind the drop and take the answer seriously, and still return to what has to be different from now on.
Staying steady when the answer is emotional
Tears, anger or silence can come. You practise keeping your tone level and giving the conversation somewhere to go instead of ending it early.
Agreeing what happens next
You close with a specific expectation, a moment to review it and what support is available, so nothing is left to interpretation.
What you get after each conversation
Clarity of the expectation
You see whether the other person could repeat what has to change, or whether the message was softened until it disappeared.
Firm without aggressive
The criteria look at whether you held the point when you were pushed, and whether the tone stayed respectful while you did it.
Room for the other side
You see whether you asked what was behind the drop and let the answer land, or filled the conversation with your own case.
What you agreed at the end
The summary checks whether the talk ended with a specific next step and a review point, and suggests wording for the moments that fell flat.
Delivery formats
Web simulation
You hold the conversation in a browser, with no headset required. A low-barrier way to try a scenario and to repeat it whenever there is time.
VR simulation
The same scenario in a headset: you stand in the room with the avatar. The higher pressure brings the practice closer to a real conversation.
Blended learning
You practise in simulations between workshop or coaching sessions, and the results of those conversations become material to discuss with a trainer.
Enterprise path
A rollout across the organisation: scenarios adjusted to your context, access for many teams and results that can feed the Digital Twin profile.
Who it is for
Managers
You are the one who has to have this conversation. Here you rehearse the version you keep putting off, before it happens with your own team member.
Team leaders
You run the day-to-day work and see the drop first. You practise raising it early, while it is still a conversation and not a formal process.
HR / L&D
You set one standard for how these conversations are run across the organisation, and see from the results where managers need more support.
New managers
Your first corrective conversation should not be your first attempt. You practise the structure and the tone before you carry the responsibility for real.
Where to go next
Research & Evidence
Publications, validation pilots and ongoing R&D - with sources stated.
See the evidenceCustomer stories
How organisations use Metaskills across leadership, sales and healthcare.
See customer storiesTry this module with your team
Tell us which conversations your people find hardest and we will show the closest scenario.