---
title: "Results interpretation guide after calculation"
url: "https://kb.chargeplanner.ai/en/article/results-interpretation-guide-after-caluclation"
language: "en"
last_updated: "2025-07-07T09:45:05.875Z"
---

# Results interpretation guide after calculation

Once your project is complete, this step allows you to **explore** and **analyze the results.** You can view performance indicators directly on the map and in a summary table, making it easier to evaluate the results of your tested sites.

The map provides a **visual overview of the relative impact of each site**, allowing you to quickly identify the most and least promising sites. The table provides **detailed indicators** that have been calculated by the model, providing you with all the information you need to make your decision.

### **On the Map**

The map shows each location in colour, from red to green. This represents the net impact of a location on the network as a whole. Red locations have a low net impact, while green locations have a high net impact.

![](https://cdn-assets.productfruits.com/2a26b59f-4941-4e22-aa1d-ffea525bba56)

### **In the Table**

You will see results for each locations in the list as well as extra context informations:

-   Usage (global and per segment)
-   Impact on the brand
-   Characteristics of the sites you loaded
-   Local Activity per type
-   Car passage
-   Competition per type and traveltimes
-   Developable public slow charging power

![](https://cdn-assets.productfruits.com/9b43f478-c1c9-47df-b347-e33b3f16497b)For Optimal location characteristics projects, the location name column now also shows which characteristic was modified and the specific change made.

![](https://cdn-assets.productfruits.com/48de26f5-56c4-48d8-beb6-ec6267681636)

If you want more precisions on each column you can refer to [**this article**](https://kb.chargeplanner.ai/en/article/detailed-list-of-information-in-optimize-table)

> Because our model works with travel times to calculate predictions, locations located in a large parking may lead to poor results. If this is the case, we recommend updating the traveltimes by selecting a road segment close to the entrance of the parking. This will lead to a more accurate result. This can be done in next step