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

# Setting your goals

> Before you start building your Agent, take a moment to think about your goals; When will you consider the Agent a success?

## Define success

Start by defining what success looks like for you. This helps you **measure the return on investment**(ROI) and identify what contributes to the Agent’s success.

Before you set goals, take a look at your **current situation**. Knowing where you stand now makes it easier to see how much progress your Agent brings later.

Ask yourself the following questions:

* What is your **biggest challenge** at the moment?
* **Why** do you want to implement an AI Agent?
* **When** is your Agent **successful** for you?

<Tip>
  Tip: Write down your answers and discuss them with your team. Everyone should have the same understanding of what you want to achieve with your AI Agent.
</Tip>

## Set measurable goals

Once you’ve defined what success means for you, it’s time to turn that into measurable goals. Specific goals make it easier to evaluate if your Agent is performing as expected.

Good goals follow the **SMART** framework:

* **Specific**: clear and concrete
* **Measurable**: trackable with data
* **Achievable**: realistic and attainable
* **Relevant**: aligned with your business priorities
* **Time-bound**:  with a clear deadline

**Bad example:**

* I want the Agent to answer questions.

This goal is too vague. It doesn’t specify how success will be measured or what impact you expect.

**Good examples:**

* By February 12 at the latest (within 3 months), the **average response time** of all incoming chats has been **reduced by 30% compared** to the current baseline.
* By February 12 at the latest (within 3 months), **the AI Agent independently handles 80%** of incoming chats without transferring them to a human employee.
* By December 12 at the latest (within 1 month), the AI Agent is active and **available to customers 24/7**.
* Achieve a **customer satisfaction score of 80% or higher** in AI Agent conversations by December 12 (within 1 month).

## Track and evaluate your goals

Once your Agent is live, it’s important to monitor its performance. Use the available **Analytics** in Watermelon to see how your Agent is performing compared to your goals.

Check metrics such as:

* **Response time:** You can see the response time of your agents in **Analytics** in Watermelon
* **Automation rate** (percentage of chats fully handled by the Agent): Can be tracked in **Analytics**
* **Conversation volume and handover rates:** Can be tracked in **Analytics**
* **Customer Satisfaction:** Add an Instruction with a link to your CSAT, also add in the instruction, when the Agent should send this link. Example:

  > When a customer informs you that they don't need any other help, or don' have other questions, ask them to complete our CSAT. Include this link: [www.csatexample.ai](http://www.csatexample.ai)

Review your progress regularly and adjust your goals when needed. Your Agent will keep improving as you train it and optimize its performance over time.