Let's now look at what is JavaScript and.
For the JavaScript errors, this will show the percentage of the sessions within the filter timeframe
that have JavaScript errors.
This should help you see if it's one specific page or a series of pages and what would be causing the
errors JavaScript errors could contribute to that clicks, which clicks or even reduce the amount of
time a user stays on a page.
Now let's see how to actually use this information.
For my website, 31 percent of physicians have JavaScript errors, which is the one marked in pink.
I mean, just like this and this would make JavaScript better is equal to yes as a filter for the whole
town.
Now, the best way would be to go to recording's.
The filter would be there on the record.
Now it says, watch the cardinals select one from the list.
Now, I might want to change my mind, but let's stick to the game and see.
OK, let's have a look at this.
A user from Ireland was shot six seconds on my website.
No.
OK, now I see in the top section the menu and the title of the page should have completely but did
not, even if the user waited for six seconds.
Let's have a look at it again.
Have to find six seconds the menu and the title with the subtitle of it, so there is definitely some
JavaScript error that I must rectify so that my next user who arrives at my home page does not experience
this bad interface.
So that's the kind of information you can quickly get from the dashboard, from the Matrix and from
the recordings together.
All these things make clarity of data to understand how a user is interacting with your website and
how is his or her experience.
Thank you.