Traditional surveying methods are frustrating for most respondents and often produce data that doesn’t quite hit the mark.

You might find yourself sifting through heaps of data, struggling to make sense of it all. Not to mention the disappointment of respondents faced with questions that don’t apply to them.

Survey logic features allow you to tailor your surveys to each respondent. You ask the right questions to the right people at the right time.

This article lists 6 helpful logic functionalities that will transform your surveys from monotonous questionnaires to personalized conversations.

Importance of logic features in a survey

Logic features in a survey are the rules that help make the survey smart. These rules control what questions respondents see based on how they answer previous ones.

Nobody feels comfortable answering questions that don’t apply to them. Using survey logic features, you create branching questions that whisk respondents past irrelevant sections and keep them engaged.

When you filter out irrelevant questions, you’re not just saving respondents time, you’re also collecting cleaner, more accurate data. The quality of answers dramatically increases when people answer questions that truly resonate with them.

Survey logic features ensure they’re providing thoughtful, relevant insights instead of confused shrugs and mumbled “I don’t knows.”

There’s nothing more discouraging than facing a seemingly endless survey. About 1 in every 4 people quit a survey before finishing it just because it has too many questions.

Logic features keep surveys concise, relevant and prevent survey fatigue.

They also allow you to target specific demographics or groups within your audience by setting up screening questions.

6 Survey logic features to supercharge your surveys

Irrelevant questions are a major reason why people abandon surveys. Survey logic features fix that and ensure respondents only answer questions that truly matter to them.

Question skip logic

Simply put, question Skip Logic means skipping certain survey questions based on the respondent’s previous answers. It’s like having a conversation where the next question depends on what you’ve just said.

If the respondents’ answers meet certain criteria based on how they answer a question, they bypass certain questions and proceed to the next relevant question.

For instance, in an employee engagement survey, if an employee indicates they are satisfied with their workload, skip logic will allow them to skip questions about stress levels or high workload management and proceed to questions about other aspects of their job satisfaction.

Integrating skip logic into your survey means:

• Respondents only see what applies to them and skip survey questions irrelevant to them, which saves them time and frustration

• You gather targeted data specific to each respondent’s experience

• Skipping irrelevant questions shortens the survey

People are more likely to complete a shorter, personalized survey. Studies indicate that when brands provide personalized experiences, approximately 80% of consumers show a greater inclination to make a purchase.

Branching logic

Branching Logic in a survey refers to the ability to direct respondents to different directions based on their previous answers.

It ensures all your respondents get a personalized experience, avoiding irrelevant questions that might make them want to fling their laptops out the window (figuratively, of course).

There are two variations of the branching logic in surveys: simple and conditional.

Simple branching

Simple branching logic directs respondents along different paths in a survey according to their responses to branch questions, questions that determine the remaining survey’s flow.

Let’s say you create an attendee satisfaction survey for an employee training program.

If the first question asks, “Did you attend the training session?” and the respondent answers “No,” there’s no need to ask follow-up questions about their experience during the session, and the respondents are directed to a thank-you page.

Conversely, if the respondent answers “Yes,” the survey will ask for their opinions on the content, instructor, and overall satisfaction.

Conditional branding

Conditional branching logic further refines the survey flow.

It introduces specific conditions or rules that dictate the direction of the survey based on respondents’ answers to branching questions.

It utilizes both skip logic and branch logic by allowing you to define conditions for branching based on various factors such as demographics, behavior, or preferences.

In the previous example, “Did you attend the training session?” is a branching question, the response to which will direct people to different routes.

Those who answer “Yes” follow the similar course described above, while those who answer  “No” get asked a different set of questions.

The survey can direct them to questions about why they didn’t attend or what alternative training methods they prefer.

This way, everyone gets asked what’s relevant to them instead of filling out a one-size-fits-all questionnaire, saving time and making the survey experience smoother.

Logic-based piping

The logic-based piping feature takes responses from one question and “carries” them forward to another, tailoring the survey experience for each respondent.

Let’s say a question asks respondents to select their department from options like Sales, Marketing, HR, etc.

Wouldn’t it be helpful if the next questions were automatically narrowed down to options relevant to their chosen department?

For instance, if someone chooses “Sales,” they will receive questions tailored to sales-related needs.

Similarly, someone from HR will get questions focused on HR-related topics.

After identifying the department, you can further customize survey questions based on the respondent’s role within that department through logic-based piping.

A sales manager might receive questions about leadership training, while a sales customer representative might be asked about product knowledge or sales techniques.

You can also use piping logic to dynamically adjust the difficulty or type of questions based on respondents’ self-assessed skill levels.

Someone who rates their proficiency in a certain area as high can receive more advanced questions than a non-proficient individual.

Randomization logic

Randomization logic in surveys is a feature that shuffles the order of questions or answer options to prevent bias and ensure fairness in data collection.

Each time someone takes the survey, the questions appear in a different order. This prevents respondents from anticipating the next question and influences their answers.

For multiple-choice questions, you can randomize the options, so the first option isn’t always perceived as the default or preferred choice.

Randomization of options means that the responses are based on genuine preferences rather than the order of options.

It helps combat order bias, where respondents tend to favor earlier options.

Custom variables

Custom Variables are an advanced survey logic feature that holds extra information about your respondents, either attached to their survey link or gleaned from other sources.

This info isn’t shown in the survey, but it acts behind the scenes, influencing what they see and how their answers are interpreted.

An example of such info is demographic information such as age, gender, or location, which allows for more targeted analysis and insights into different groups’ opinions and preferences.

The custom variables feature lets you address respondents by name or segment them based on pre-defined groups, which makes the survey a more welcoming experience.

If a respondent has provided feedback in previous surveys, you can use custom variables to refer back to that feedback.

For instance, if a customer complained about shipping times in a previous survey, you could follow up with a question about whether they’ve noticed any improvements.

Termination logic

Termination logic allows you to gently end a survey for certain respondents based on their answers. It ensures their time is well-spent and your data collection remains focused.

Once termination criteria are met, respondents will be directed to a thank-you page or message to express gratitude for their participation and provide any necessary follow-up information or incentives.

In a survey screening for eligibility for a particular program or study, termination logic can be used to disqualify respondents who do not meet the criteria.

For example, if you’re running a survey for a new fitness program, you only want responses from people who are actively looking to get in shape.

With termination logic, you can set up a screening question: “Are you currently interested in starting a new fitness program?”

If someone answers “No,” the survey gently ends after thanking them for their time.

Or, if a survey aims to collect responses from a certain number of participants, termination logic can be used to close the survey once that target is reached.

This prevents additional responses beyond the desired sample size.

Create impressive surveys with Formaloo’s logic features

By using logic features, you can make your surveys relevant, accurate, and efficient to collect better data and leave your respondents happy.

Formaloo empowers you to ditch the one-size-fits-all approach and tailor your surveys to each individual.

Our user-friendly interface empowers you to implement even the most advanced logic functionalities without any technical expertise.

With Formaloo’s survey logic features, you’re just a few clicks away from gathering data that drives meaningful insights and fuels your success.

Ready to supercharge your surveys? Sign up for a Formaloo account today and see the difference logic can make!

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