New Features: Row-Based Filtering & Hidden Variables 📊

Hi everyone, so welcome to this new video.

Today I'll be giving a quick update about two new features we're launching.

so you always were able to do routing based on questions that people have already given in previous questions, at a question level or at a section level, so that you could show certain questions or certain sections to certain users.

but now we're making it a bit more flexible and and a bit more granular.

and so the first feature we're introducing is row-based filtering.

And so as you can see in this example, we have question 1, which is a multi-select question where they can select multiple providers that people use and pay for for streaming services.

And then the question comes after that is about which one do you watch the most.

And so in this case, we have set it up that only the the options only show when you've actually selected that in question 1.

So you can see here, only show Netflix when Netflix was selected in question 1.

And so maybe to show what that looks like in the interview, we can open a test interview.

And so let's quickly show.

So let's say I only use Netflix and Disney as the ones I pay for.

Then here in the next question, we only see Netflix and Disney as as as an option and not the full list.

So let's say Netflix is the one I pay the most for.

so let's get back to the study guide.

and so what you can see is that you can just filter these results and we call this row-based filtering based on the results from previous questions.

Another feature we're introducing is hidden variables.

And in hidden variables you can basically make a variable based on the on the answers that people have given to previous questions in the study guide.

And so in this case, we have 3 screener questions.

And based on the answers that people give here, we define a profile.

And we've defined 3 viewer type profiles.

So we have the Superfan, the Casual Viewer, and the Regular Viewer.

And so let's see what a Superfan is.

So in this example, a Superfan is somebody who watches more than 10 hours a week and who has more than 1 streaming services that they pay for.

And so this amount of hours came from question 3, and then the amount of services that they pay for came from question 1.

And so that makes you a Superfan.

And then you can see that casual viewer has another rule, and then a regular viewer is just everybody else.

And so this basically allows you to define these types based on on the combination of answers that people have given yeah in previous questions.

And then we can do some things with that.

So what this allows you to do is that you can then start screening and routing within the the topic guide based on these types.

And so for example, question 5 is only shown to casual viewers.

While question 6, for example, we define at a section level that we want to have a Superfan deep dive.

And so only people who are Superfans will get question 6 or any other questions if there would be more for that section.

And so this allows you to then reuse basically that logic of what it means to be a Superfan instead of having to redefine it over and over again.

Another thing what this allows, because we now have these groups, we can also set up quotas based on this.

So in this example, in the quotas group, I've set up a very basic example where we had a response limit of 100 people, and I made it so that we have 60 superfans, 20 casual viewers, and 20 regular viewers.

Of course, you can configure these numbers as you like, but it allows you to in one go define the logic of what a superfan means and then also have quotas based on this.

What this also allows is to then use these definitions as something that you can then later in analyze, see in question coding, but also when you use the Talk to Your Data tool.

You can then slice and dice your data based on these.

So you can, for example, ask how did superfans ask question 11, or what were their main opinions in question 12.

And so it really becomes a way to divide your data.

And so maybe quickly to show what it looks like in an interview, but so I did a quick example interview, I answered all the questions, and based on how I answered the questions, I was put into the bucket of a superfan And then you can see they asked question 4, which was for everybody, but then question 5 was skipped because question 5, as you might remember in this topic guide, was only for casual viewers.

So because I'm a superfan, this question is skipped, and then we do the superfan deep dive where it asks me a few more questions.

So yeah, that's it.

Two new features.

So row-based filtering, where you can select which answers to show based on the answers of a previous question, and then hidden variables where you can define types where you combine the answer options into a variable that you can use for routing, for quotas, and for analyzing your data throughout the platform.

So yeah, very excited about this, and see you in the next video.

Bye!