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Explainer

Understand the drivers influencing the KPI. With the Explainer feature, you can easily understand the Driver Analysis results for the chosen KPI in everyday language.

1. What is Explainer?

The Explainer is a feature that describes the Driver Analysis results for a specific KPI in natural language, making it easier for users to understand. It removes complex statistical concepts, allowing users to quickly and easily understand the factors influencing the KPI through visualization.
Natural language refers to the language humans use daily, contrasting with constructed languages created for specific intentions and purposes in fields like computing and mathematics.

2. Screen Composition & How to Use

Here's a description of the basic screen composition of the Explainer.
Each section of the screen below has the following functionalities:

(1) Basic Usage

It lists the factors that have the most significant impact on the KPI.
By clicking on the 🔁 icon, you can change the order of the variables. By pressing the right arrow (>), you can see the explanation for the next ranked factor. It describes in plain language the combination of conditions that are higher or lower than the average of the selected KPI.

(2) Generate New Narrative

It provides an explanation from a different perspective regarding the given factors.
For instance, even if the previously set KPI, [Sales], indicated conditions that were above or below average, clicking the "Generate New Narrative" button will show the combination of conditions that contributed the most or least to the total [Sales].
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(3) Change Visualization

Clicking the "Change Visualization" button will display a different type of graph in the bottom right visualization window.

(4) Visualization Window

This feature visualizes the driver analysis results on the left in the form of graphs. The darker the color (blue), the higher the explanatory power for the KPI, and the lighter the color (yellow), the lower the explanatory power.
By clicking on the graph, you can check the analysis results for the corresponding factor through the description on the left.
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Last modified 5mo ago