Skip to main content
How to use the cross-analysis function?

Why use the cross-analysis function?

Charles Keignart avatar
Written by Charles Keignart
Updated over a week ago

The cross-analysis function

📍In the "Maps tab", Qomon allows you to visualize data points, along with the option to analyze several of them at the same time. Consulting the map helps you learn about the area of mobilization and is crucial when starting to create field actions.

🔎 Our Profiles and Analysis tool allows you to visualize your areas of priority according to the profile of those that you want to meet.

❗Remember, data is country-specific! The geographical area of your project may have more/less data than others.

Where to find the cross-analysis function?

You will find the cross-analysis tool in the maps tab. Under the search bar in the top bar, there is a dropdown menu that says “Pick a data category.” Click on the “Crossed Analysis” option to get started!

Step One: Select a Category

Start by selecting the category that interests you. Then select a number of variables under categories (such as Unemployment, Elections, Age Groups, etc.), and specify the relative importance of each. This will return the profile of the people you want to meet.

💡If you want to be more specific in the location of your cross-analysis, use the multi-select tool! It is the cursor icon in the top right of your screen that allows you to select multiple territories.

The relative importance of each category can be seen by leaving the edit mode at the bottom of your analysis summary “See my analysis” :

Step Two: Selecting Variables

Each category has several variables available. For example, the Unemployment category includes total unemployment as well as unemployment by age group. The elections category offers the percentage of votes for each candidate, as well as the rate of abstention, etc.

Select a few variables and specify whether you want to prioritize the areas where that variable is strong or weak.


Step Three: View Results

After selecting your variables, check out your results through the map on the left of the tab.

From 1 to 5, the areas are colored according to whether they have low or high priority. Priority 1 is dark and high, whereas priority 5 will be light and low.

You will have access to a brief summary of your analysis when you leave edit mode:

Conclusion

💡 Cross-analysis can help you get to know your geographical area better, and help you to identify priority areas while organizing actions accordingly.

🚀 Play with the settings and view your results and summary analysis live.

Did this answer your question?