Pilot phase – practice sessions with an access code.Request access

Rehearse the conversations you'd rather avoid.

Honest feedback, backed by your own words. And measurable progress from one attempt to the next.

You practice with an AI, not a real person. Fictional cases only, no real personal data.

Two people sitting across from each other, having a friendly conversation.

How it works

  1. 01

    Choose a scenario

    Realistic conversations from everyday work

  2. 02

    Speak or type

    With an AI counterpart, in four languages

  3. 03

    Get evidence-based feedback

    Every rating quotes your own conversation, following an open methodology

Start here

New here? These three are a good place to start.

All scenarios

What an evaluation looks like

Fictional example for illustration, not a real person's conversation. Scenario: Giving tough feedback. Jordan is an AI.

Overall score60
EmpathyLevel 4 · 70
DirectnessLevel 3 · 50
  • Turn 2: „Well, there were a few delays, but nothing dramatic.“ → The core message is watered down.
  • Turn 3: „I expect reports to reach me by the fifth of the month.“ → Concrete expectation with examples and a date.
  • Missing for the next level: state the core message early and unambiguously.
Active listeningLevel 3 · 50
  • Turn 4: „What exactly took up most of your time?“ → Open question about the cause.
  • Turn 5: „Good, then here's what we'll do: …“ → The answer about the client queries is not picked up before the solution arrives.
  • Missing for the next level: mirror in your own words and check understanding.
Clear next stepsLevel 4 · 70

Second attempt, same case

Overall score 60 → 70

Empathy 70 → 70 · Directness 50 → 50 · Active listening 50 → 70 · Clear next steps 70 → 90

Focus applied: yes. Turn 4: „If I understand you correctly, the queries from the two clients tie you up so much that the reports get left behind. Is that right?“

Your focus for the next attempt

Your focus: mirror in your own words what your counterpart says before suggesting a solution.

How you could have said it

„Good, then here's what we'll do: from October you send me the reports by the fifth, and on 15 October we'll briefly check whether it's working.“

„If I understand you correctly, the queries from the two clients tie you up so much that the reports get left behind. Is that right? Then let's think about how we can ease the queries and you can finish the reports by the fifth.“

Why: Mirrors the core, checks understanding and connects listening with a concrete action.

Evaluated with scoring rubric v1.5, research-informed, not independently validated. A practice aid, not a replacement for coaching. View the scoring rubric

Why not just use an AI chat?

A free-form AI chat can also play through conversations, if you know how to guide it. Ensavo takes that work off your hands and makes sure every exercise is structured the same way and checkable.

  • Getting started

    Free AI chat

    Describe the role, goal and counterpart yourself

    Ensavo

    19 ready-made scenarios with situation, role, goals and the counterpart's hidden context

  • Feedback report

    Free AI chat

    Format and scale depend on the prompt and can differ every time

    Ensavo

    Four dimensions, five fixed levels with fixed points (10–90), open scoring rubric

  • Evidence

    Free AI chat

    Quotes are possible, but not checked automatically

    Ensavo

    Every level quotes your conversation; the app verifies that the quotes appear. Without evidence it says “not ratable”

  • Repeating

    Free AI chat

    You decide yourself what to work on

    Ensavo

    One clear focus per attempt, then a comparison per dimension (“Active listening: 50 → 70”)

  • Help while practicing

    Free AI chat

    Ask for it yourself

    Ensavo

    “I'm stuck” help, cheat sheet as PDF

  • History

    Free AI chat

    Buried in the chat history, without structure

    Ensavo

    Progress page, PDF per attempt, JSON backup

  • The framework

    Free AI chat

    An account with the provider, your own privacy review

    Ensavo

    No account, history stays in your browser, the AI is always labelled as an AI

What we do not claim yet: The rubric is research-informed, but not independently validated. The comparison with human coaches is ongoing. See the methodology

Why Ensavo exists

In more than 20 working years I have time and again seen the same patterns: feedback that comes too late or too vaguely. Roles and responsibilities that nobody has clearly named. Tasks handed out without context or reasons. Negotiations that end without a concrete result. It often starts with a conversation that never happened, or that did not go well. That costs time, trust and good collaboration.

I am convinced that leaders can hold conversations like these more confidently and more fairly if they are able to practise beforehand. Ensavo is my attempt to make that practice accessible: in a protected setting and with honest feedback that is based on your own conversation.

Melisa Mustafovic-Brüstle, Developer of Ensavo

Are you a coach or responsible for people development? I am looking for pilot partners. Write to me

Related research

The idea of practising difficult conversations with an AI role-play character is also being studied scientifically. A research team at Stanford University developed a system with which people simulate conflict conversations and receive feedback on their conversation strategies. In a study with 40 participants, those who had practised with the system beforehand used cooperative strategies about twice as often in a subsequent real conflict conversation — and competitive strategies (e.g. power or rights strategies) on average around 67% less often — than the comparison group.

Our app was developed independently of this and works with its own scoring model. The study's results refer to the system examined there and cannot be transferred directly to our app. They do show, however, that simulated practice is a promising approach — one we are continuing to examine with our own pilot phase.

Source: Shaikh, O., Chai, V., Gelfand, M. J., Yang, D. & Bernstein, M. S. (2024). Rehearsal: Simulating Conflict to Teach Conflict Resolution. Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24). arXiv ↗