Your people will have this conversation for real. Let them have it here first.

An AI character who holds a position and pushes back, in a room that looks like where the conversation happens. Your teams practice it as many times as they need, and every attempt comes back scored.

Roleplay with a colleague was never going to work

Every soft skills program ends the same way. People learn the framework in the room, then say the words out loud for the first time to a real customer or a real direct report.

The usual fix is to pair people up and have them practice on each other. Three things go wrong.


Your colleague isn't the customer

They don't hold the position, they let people off the hook, and everyone in the room knows it's pretend.


Nobody wants to do it

Performing a difficult conversation in front of peers is uncomfortable, so it quietly stops happening.


It happens once

A single run-through in a workshop is a demonstration, not practice. Nothing is retained by the following week.


What a practice session actually looks like

Short enough to fit into a working day, and close enough to the real thing that people get the same nerves.

01

They open the scenario

Assigned by an admin, or chosen from the library. They see who they're talking to and what they're trying to achieve.

02

They speak out loud

Real voice, real time, nothing scripted. Five to ten minutes, alone, with nobody watching.

03

The character responds

In character, to what was actually said. Handle it badly and it gets harder, the way it would in the room.

04

The score arrives

Within seconds: five criteria chosen for that conversation, with the evidence for each one.

Runs in the browser, on a tablet, or in a VR headset. Nothing to install to run the first one.

The avatar pushes back

This is the line between a roleplay and a multiple-choice exercise. The character has a position and a reason for holding it, and the conversation goes wherever your learner takes it.

Some scenarios randomize what they're presented with, so a second attempt isn't the same conversation. Others are entirely open-ended, with no defined outcome at all.

See how sessions are scored

Missed Targets — a manager and a direct report

Rob has missed his numbers for a quarter and believes his workload is the reason. He is defensive, but not unreasonable.

Open with the numbers and he explains why they weren't achievable, and the conversation becomes an argument about workload.

Ask what's been getting in the way and he tells you about the reallocation nobody signed off, which is the thing you actually needed to hear.

Scored on asking open-ended questions, non-confrontational language, active listening, acknowledging concerns, and valuing and motivating the employee.

Nine categories, ready to assign on day one

Over fifty scenarios written and scored by our learning designers. Assign them as they are, or use them as the starting point for your own.

When the conversation is specific to your business

The library covers the conversations most organizations share. It doesn't know your products, your policies, or the objection your buyers actually raise.

In Roleplay Studio, your team builds scenarios around those and deploys them in under five minutes. You set the character and how they behave, the room, the language, and the five criteria the session is scored against.

One customer built a Difficult Conversation scenario for their managers, scored against criteria their own L&D team wrote. The learner sees exactly what they'd see in a library scenario, and the results land in the same analytics.

More on Custom Roleplays

Custom scenario — built by an admin
Overall: 7.1
  • Clear, Direct, Unambiguous Language
  • Constructive and Actionable Feedback
  • Non-confrontational Language
  • Encouraging Discussion, Offering Support
  • Refuting Unfounded Allegations

Language: English

Room: Office

Coaching Session Followed

Suggested Responses: 3

Avatar: Ken

Then they talk it through with a coach

A score tells someone what happened. Reflection is what turns it into a change. At the end of every roleplay, learners can debrief with the AI Coach - a two-way conversation about what was hard, what they'd change, and how to apply it next time. It's the step most training skips.

More on AI Coaching

Then they do it again

Practice without feedback doesn't improve anything, and feedback without reflection rarely changes behavior. The loop only works when it comes round. Because a session takes five to ten minutes and nobody is watching, people run scenarios repeatedly - which is the part that never happens with a colleague and a coffee.

See how the learning cycle works

It has to look like where the conversation happens

A shop floor conversation shouldn't be practiced in a boardroom, and a nurse shouldn't rehearse a difficult diagnosis in a sales office.

Offices and meeting spaces

Meeting Room

Conference Call

Large Office

Small Office

Pitching Den

Cafe

Lobby

Hallway

Elevator

Frontline and industrial

Shop Floor

Warehouse

Oil Rig Deck

Oil Rig Drill Floor

Specialist and high-pressure

Doctor's Office

Courtroom

Debating Hall

Broadcast Studio

Shark Tank

Some scenarios put several in the room at once - an investor panel, a panel interview, a cross-functional disagreement - so learners have to manage more than one person at a time.

Built to be rolled out, not just tried

The questions that decide whether this becomes a program or a pilot that stalled.

See it with a conversation your teams actually have

Tell us what your people find hardest and we'll build it into a scenario on the call - then show you the feedback a learner gets and the data you'd see as an admin.