# What parameters to insert in the box of my company? 🤔

This is a common question when it comes to using the box as a decision-making tool in HR and senior management. Defining the appropriate axes and intervals is essential to obtain an accurate evaluation of employees. Many clients ask us about how to select the correct parameters.

In this article, we will explore this issue and provide guidelines for creating a customized box in the platform, making the most of this valuable tool.

If you have any doubts about how to create a box in the platform, this article shows you how

**Axes definition**

The box has two axes (**X and Y**), so you must think about the **two variables** that you want to view your employees. It is worth reflecting: if you do an assessment of skills only, does it make sense to box? What competencies would you cross in it? Does it make sense to set up a box?

The best boxes cross two** independent variables**.

In our database, the most used variables in boxes are:

Competencies;

Behavior;

Engagement;

Potential;

Performance;

Results/Deliverables

In our database, the most common combinations for the X and Y axis are respectively:

Performance **X** Potential

Performance **X** Potential

Performance **X** Values

Results **X** Behaviors

Deliveries **X** Competencies

**🌟 Feel free to perform various tests on the platform 🌟**

Always remember the purpose of that analysis and the input you want to have at the end of the meeting (will it be useful to promote the people in the upper quadrant? Am I going to dismiss the people in the lower left quadrant?). So, which variables are relevant to decision making in my company?

# Intervals

After defining the axes, we are always asked which intervals are most used in the creation of the boxes. Remembering that the size of the intervals for each range can be defined through percentages or numerical averages.

🟣 This setting is configured in Step 1 when creating the Box, as shown in the figure below:

**Most common percentage combinations in Qulture.Rocks**

22% of the boxes created have a distribution of 33% - 33% - 33% for both Axis X and Axis Y.

3% use the distribution of 10% - 70% - 20% for both Axis X and Axis Y.

**Distribution of Combinations by Grade**

When creating a box using the numerical average, you will depend on the number of grades on the scale used in the evaluation (3, 4 or 5 options).

⚠️ It is also important that you understand the logic behind separating these averages. Let's take the example of an evaluation that uses a 3-option scale and has the following parameters:

X axis: [1.6, 2.6]

Y axis: [1.5,2.5]

The Box would have the following distribution:

Now we will show the most common boxes created by each type of note scale:

**Distribution of Combinations by Grade (Scale with 5 options)**

20% use X-axis [2.99, 4.59] x Y-axis [2.99, 4.59];

14% use X-axis [1.4, 3.0] x Y-axis [1.4, 3.0];

5% use X-axis [1.67, 3.33] x Y-axis [1.67, 3.33]

5% use X-axis [1.4, 2.8] x Y-axis [1.4, 2.8]

**Distribution of Combinations by Grade (Scale with 4 options)**

12% use X-axis [2.0, 3.0] x Y-axis [2.0, 3.0]

7% use X Axis [1.01, 2.01, 3.01] x Y Axis [1.01, 2.01]

5% use X Axis [2.0, 3.0, 4.0] x Y Axis [2.0, 3.0]

5% use X-axis [1.99, 3.5] x Y-axis [1.99, 3.5]

**Distribution of Combinations by Grade (Scale with 3 options)**

19% use the following range: X axis [1.7, 2.4] x Y axis [1.7, 2.4];

12% use X-axis [1.5, 2.5] x Y-axis [1.5, 2.5]

12% use X-axis [1.33, 2.66] x Y-axis [1.33, 2.66]

12% use X-axis [1.0, 2.0] x Y-axis [1.0, 2.0]

We hope this content helps you in creating your box. Don't forget to give your feedback!