Every response is an opportunity.
With the Q Catch and Response Check nodes, you can automatically react to what your contacts answer in surveys — whether it's an open-ended message or a selected option.
Analyze tone, content or choices and guide each contact down the most relevant path, in real time, using simple yet powerful logic built right into your automated flow.
Q Catch – Classify open-ended answers using AI
Q Catch is a decision node that allows you to automatically analyze the content of an open-ended answer in a survey. Powered by magnews Q, it can identify sentiment, topics or categories expressed in the user’s response.
Make sure you’ve accepted the magnews Q terms to activate this feature.
How to configure Q Catch in a few simple steps
- Select the landing page that represents your survey.
- Choose the question to be classified, among open-ended questions of type Text or Long text included in that survey.
- Set up the exit branches: for each one, define:
- A clear label (e.g. Negative, Positive, Neutral)
- The topics, keywords or examples you want to associate with that exit
- An optional description, especially if the category is not self-explanatory
- Make sure each output is clearly distinct and unambiguous. Avoid using similar labels or overlapping content in multiple exits.
When does the flow exit through “Other”?
The node always includes a default “Other” exit. A session will take this path in the following cases:
- The answer cannot be classified (e.g. irrelevant or generic text)
- A technical error occurred
- Your account has run out of Q credits
- The contact did not answer the question (e.g. the question was optional or hidden by visibility rules)
Example
In a typical NPS scenario, you can analyze the open-ended question “Tell us more” to detect whether the contact is angry, satisfied or confused — and trigger the appropriate action accordingly.
Response to be evaluated
If the survey allows multiple submissions from the same contact (e.g. no “unique completion” setting enabled), the node will use the most recent answer provided.
The node always considers the latest completed submission (not test), made after the session entered the automated flow.
Check the configuration with a test
You can test the behaviour of the Q Catch node before publishing it by simulating a response to the open-ended survey question. Enter a sample text and check which output the contact would proceed to.
This is a useful step to check whether the classification behaves as expected and to correct any ambiguities or categories that are too similar.
The button to run the test is located directly in the node, just below the output configuration.
Q Credit consumption
Each session that passes through this node consumes magnews Q credits. Consumption increases depending on:
The number of exit branches
The length of classification texts
The length of exit descriptions
The node will display an estimated credit usage range. This is because the final cost also depends on the actual text submitted by the contact.
Check response – Evaluate closed responses with ease
Check response is a decision node designed to work with closed-ended questions:
Single choice, NPS, dropdown, multiple choice, rating.
It’s ideal for handling structured feedback — such as a classic NPS or preference-based surveys.
How does it work?
Select the survey and the closed question you want to evaluate.
Configure the output exits based on the available answer options.
🧩 Example: In an NPS survey, you can define:
1 to 5 → Detractor
6 or 7 → Neutral
8 to 10 → Promoter
There’s no need for the survey to save the answer in a contact field:
the node automatically evaluates the latest valid response, as long as: it’s complete (not partial), it was submitted after the session entered the automated flow, it’s not a test submission.
It also works when the question is included inside an email, as long as it’s connected to the survey.
🎯 Which node should I use?
| Node | Survey question type | Q credit consumption | Best use case |
|---|---|---|---|
| Q Catch | Open-ended questions | ✅ Yes (uses magnews Q AI) | Qualitative analysis of written feedback |
| Check response | Closed-ended questions | ❌ No | Direct handling of choices (NPS, rating, structured input) |
🧩 Example: why a contact is dissatisfied
Let’s say you have a survey where you ask contacts to rate a product.
You include an NPS question (1 to 10) followed by an open-ended question like “Why did you give this score?”
With the Response Check node, you can immediately classify contacts as Promoters, Neutrals or Detractors, based on their NPS score.
If a contact is a Detractor, you can use the Q Catch node to analyze the open text reply. Thanks to AI, you can detect recurring themes, specific issues or categories of dissatisfaction (e.g. price, support, quality).
This lets you:
segment detractors by actual reason
prioritize actions based on what matters most
trigger targeted flows to handle unhappy contacts more effectively
A perfect example of how the two nodes can work together to turn feedback into actionable insight.