> ## Documentation Index
> Fetch the complete documentation index at: https://docs.waterr.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Post-Meeting Evaluations

> Set up goals and scoring to automatically evaluate participants after each session.

After each session, the AI evaluates the participant against the goals you define. This produces scores, written feedback, and analytics you can review and export.

## Goals

Goals are the evaluation criteria for your scenario. Each goal defines what to measure and how to score it.

### Creating goals

<Steps>
  <Step title="Open your scenario">
    Navigate to the scenario you want to configure.
  </Step>

  <Step title="Go to the Goals tab">
    Click the **Goals** tab on the scenario detail page.
  </Step>

  <Step title="Add a goal">
    Click **Add Goal**. Fill in:

    * **Name** -- What you're measuring (e.g., "Communication Clarity")
    * **Description** -- What good performance looks like
    * **Scoring instructions** -- How the AI should assign a score
  </Step>
</Steps>

### Example goals

<Tabs>
  <Tab title="Interview">
    | Goal            | Description                                                      |
    | --------------- | ---------------------------------------------------------------- |
    | Technical Depth | Evaluates the depth and accuracy of technical explanations       |
    | Problem Solving | Assesses approach to breaking down and solving the given problem |
    | Communication   | Clarity, structure, and conciseness of responses                 |
  </Tab>

  <Tab title="Sales">
    | Goal               | Description                                         |
    | ------------------ | --------------------------------------------------- |
    | Discovery Quality  | Did they ask open-ended questions to uncover needs? |
    | Objection Handling | How effectively did they address concerns?          |
    | Closing Technique  | Did they propose a clear next step?                 |
  </Tab>

  <Tab title="Support">
    | Goal            | Description                                       |
    | --------------- | ------------------------------------------------- |
    | Empathy         | Did they acknowledge the customer's frustration?  |
    | Resolution      | Did they resolve or escalate the issue correctly? |
    | Professionalism | Maintained composure under pressure               |
  </Tab>
</Tabs>

## Scoring

Each goal is scored on a scale (typically 1-10). The AI assigns scores based on:

* The conversation transcript
* Your scoring instructions
* Observable behavior during the session

### Score breakdown

After a session, you can view:

* **Individual goal scores** with written feedback
* **Overall score** (average across all goals)
* **Transcript highlights** linked to specific goal evaluations

## Viewing results

<Steps>
  <Step title="Go to the scenario">
    Open the scenario from your dashboard.
  </Step>

  <Step title="Click on a session">
    In the session list, click on a completed session.
  </Step>

  <Step title="Review evaluations">
    The evaluation tab shows scores, feedback, and transcript for each goal.
  </Step>
</Steps>

## Exporting results

Export session results for reporting or integration with your systems:

* **CSV export** -- Download scores and feedback as a spreadsheet
* **Webhook** -- Receive results automatically via [webhook notifications](/capabilities/notifications)
* **API** -- Query results programmatically via the [API](/api-reference/meetings)

<Tip>
  Write scoring instructions that are specific and behavioral. "Good communication" is vague. "Responds in structured format: states the approach, walks through the solution, then summarizes" gives the AI clear criteria to score against.
</Tip>