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

# Session goal achievement

> Learn how to use the session goal achievement test to evaluate whether the user's goal was met

## Definition

The session goal achievement test evaluates whether **the user's goal was met** by
the end of a conversation. An LLM-as-a-judge infers the user's goal from their
messages and scores the full session against four criteria:

* The user's intent is correctly identified
* The goal is fully resolved (not just partially addressed)
* The session reaches a satisfying conclusion
* User-side signals indicate satisfaction (e.g., acknowledgment, no repeat asks)

## Taxonomy

* **Task types**: LLM.
* **Availability**: <Tooltip tip="Continuously evaluate your models and datasets as you iterate on their versions.">development</Tooltip>
  and <Tooltip tip="Monitor a model in production, measure its health, check for drifts and set up alerts.">monitoring</Tooltip>.
* **Evaluation level**: session.
* **Polarity**: higher score = better. `0` = goal not achieved at all, `1` = goal
  fully achieved.

## Why it matters

* Goal achievement is the clearest direct product-quality signal for agentic assistants.
* Tracking it at the session level captures outcomes that per-turn evaluations miss.

## Required columns

* **Input**: The user's message in each turn.
* **Output**: The assistant's response in each turn.
* **Session ID**: Groups turns belonging to the same conversation.
* **Timestamp**: Used to reconstruct turn order within a session.

<Note>
  This metric relies on an LLM evaluator. On Openlayer you can configure the
  underlying LLM used to compute it. Check out the
  [OpenAI](/integrations/openai#openai-llm-evaluator) or
  [Anthropic](/integrations/anthropic#anthropic-llm-evaluator) integration
  guides for details.
</Note>

## Test configuration examples

<CodeGroup>
  ```json Monitoring theme={null}
  [
    {
      "name": "Session goal achievement above 0.7",
      "description": "Ensure sessions meet the user's inferred goal",
      "type": "performance",
      "subtype": "sessionGoalAchievement",
      "thresholds": [
        {
          "insightName": "sessionGoalAchievement",
          "measurement": "meanScore",
          "operator": ">=",
          "value": 0.7
        }
      ],
      "subpopulationFilters": null,
      "mode": "monitoring",
      "usesProductionData": true,
      "evaluationWindow": 3600,
      "delayWindow": 0
    }
  ]
  ```
</CodeGroup>

## Related

* [Session task progression](/tests/catalog/session-task-progression) — whether the session was making steady progress along the way.
* [Session conversation completeness](/tests/catalog/session-conversation-completeness) — tracks whether the dialogue reached a clean end.