conjoint analysis

How to Leverage Data from Conjoint Analysis Exports

How to Leverage Data from Conjoint Analysis Exports

conjoint analysis

Let’s take another critical dive into conjoint analysis, a super informative market research feature that we released last year.

As you know, a Conjoint Analysis is a kind of tool and research technique that enables you to measure the value that consumers place on the individual features of a product or service.

This kind of analysis is particularly beneficial for product and pricing research, as it unveils a plethora of consumer preferences. You can then use this information to optimize your products and services.

In this article, we specifically focus on Conjoint Analysis exports on the Pollfish platform.

The Polfish market research platform generates optimized Excel, CSV and SPSS files that contain raw data, which you can use to form your own analyses and import the data from the tool to other software.

If you want to run your own Conjoint Analysis to compute and understand part-worth importance, you’ll need to use its export, as it contains raw data from your Conjoint Analysis.

This article teaches you how to do so. 

1. How does Pollfish generate the Conjoint Analysis design? 

The conceptual model of a conjoint analysis is pretty straightforward; it suggests that the utility of a multi-attributed product can be broken down into specific contributions of each attribute and their interactions. 

The approach is easy to implement if the number of attributes is small. However, problems arise because of the large number of possible hypothetical alternatives for a given product. 

For practical reasons, only a subset of possible alternatives is chosen for the study. To that end, experimental design methods exist for selecting good subsets of product configurations for performing the analysis.

Respondents will see a subset of possible options to choose from, which depends on the number of attributes and levels defined. 

In order to do this, the Pollfish Conjoint algorithm first creates an orthogonal design of the alternatives (product bundles) that are formed by combining the levels of the attributes.

In the case that all possible combinations are more than 20, the total number of alternatives gets reduced using d and g optimality criteria. 

Then choice sets are created, containing an upper limit of 5 alternatives each. The algorithms that we are using ensure the d-optimality of the choice-set design.

Finally, choice sets are assigned to blocks. One block cannot contain more than 30 choice sets.

The goal for our Pollfish Conjoint algorithm is to ensure that each level in each attribute appears the same number of times and that each alternative appears the same number of times in the design, so that the results have 0 bias and variance. 

Each respondent gets assigned to only one block randomly. Blocks are distributed evenly to the audience, so that every choice set in the design is seen by the same number of respondents.

2. How is the Conjoint Analysis design distributed? Via the Pollfish algorithm based on Block Designs

A problem that usually arises when the choice-set design is ready to be administered to a target population is that the number of choice sets in the design may be too large for an individual to assess. 

In these cases, a common technique is to partition the choice sets into blocks of equal size, in principle much smaller than the size of the original design, and then administer the blocks to the population. 

That way, each individual would have to assess only the choice sets of one block, while collectively the population would assess all the choice sets of interest. However, in order for this partitioning to make sense, some constraints must be satisfied. 

Each choice set should be evaluated by the same number of users. That means that each choice set should appear the same number of times into the blocks. Note that it is not necessary for a choice set to appear in all blocks. To that end, we may need to replicate the choice sets in order to always be able to divide them into blocks.

Formally speaking, the following equation should be satisfied: vr=bk

where v  is the number of choice sets, and r is the replication factor of each choice set, is the number of blocks and is the size of each block, that is, how many choice sets each individual should see. Thus, given a choice-set design of size, we have to find the three smallest numbers () satisfying the above equality. Given these numbers, we can safely partition choice sets into blocks.

3. Understanding the Excel structure

The Excel (CSV and SPSS) file is a complementary feature of the visualized results at the Pollfish dashboard. It contains all responses given by each respondent of the survey. Graphs on the results page are based on these individuals' responses. 

To take advantage of the Excel for a Conjoint Analysis or MaxDiff Analysis survey, visit the results page of a completed one, select “Export results” and choose “Excel” as your export option. You will be sent an email that notifies you when your export is complete. Open the document in Excel or Google Sheets to get started. 

The Excel sheet will include the following two (among the other tabs):

  • Experimental design tab: This tab contains the Conjoint or MaxDiff’s design, as generated by the Pollfish Conjoint algorithm. 
  • Individuals tab: This tab contains the selections given to the questions of the survey by each respondent. 

For the case of the CSV and the SPSS, the experimental design comes in a separate file.

what is a conjoint analysis

A. The Εxperimental Design Tab

Let’s assume that we have a Conjoint Analysis survey with the following attributes and levels, describing alternatives of detergents:

conjoint analysis

In the Excel tab, each component is listed in a column and has a unique ID. Blocks, their containing choice sets and alternatives(or “Concepts”) have their own IDs, as the following screen depicts.

create a conjoint analysis

For the specific example, the Pollfish algorithm will generate a design of 4 blocks of 5 choice sets each.

how to do a conjoint analysis

set up conjoint analysis

Each choice set contains 5 alternatives (or “Concepts”). Each row represents a generated alternative (or “Concept”), whose containing attribute levels’ columns are located after the “Concept” column (in our example of detergents Conjoint test, the attributes were 4: Type, Perfume, Quantity and Price).

conjoint analysis alternatives

The settings for the number of choice sets and the number of alternatives, are also displayed in the questionnaire while preparing the Conjoint survey:

how to make a conjoint analysis

B. Conjoint selections at the Individuals tab 

Each respondent gets only one of the generated blocks. The blocks are evenly distributed across the sample, hence, a block may be received from many respondents. 

In our example, from the 120 total sample, each group of 30 respondents will get one of the 4 blocks:

  • 30 respondents receive the block with ID 257
  • 30 respondents receive the block with ID 258
  • 30 respondents receive the block with ID 259
  • And 30 respondents receive the block with ID 260

At the Individuals tab, each row represents the responses given to the questions by a single respondent. Data related to the Conjoint Analysis are placed among the other questions contained in the survey and start with the column named “Block” which holds the block ID the respondent received. 

Then the choice-set ID columns follow along with the selected alternative (or Concept) ID columns. The choice-set columns are ordered according to the order the respondent received them. 

So, ChoiceSet0 ID holds the first choice-set ID the respondent got. Selected Concept 0 ID holds the respondent’s selected alternative ID(or Concept)  in the first choice set and so forth until selections for all choice sets are provided in the tab. 

conjoint analysis exports

C. Correlate the data at both tabs for further analysis

You do so by combining the following:

  • the data from the Experimental design tab, which holds the content for each block and their included choice-sets 
  • the data from the Individuals tab, which hold the selections per respondent

You can then proceed by then analyzing the data in a different system. 


survey-fraud

How Pollfish Provides Quality Data and Prevents Survey Fraud (2023 Update)

How Pollfish Provides Quality Data and Prevents Survey Fraud (2023 Update)

survey-fraud

Pollfish implements a variety of procedures to ensure the highest quality of data. Using a combination of proprietary techniques and machine learning technology, our platform, along with our team of technical experts prevent survey fraud at every turn. 

When combined with our rigorous quality checks, our participant pool of over 800M+ enables us to discard responses that don’t meet our quality standards — without sacrificing the sample size. As such, no question is subject to survey fraud, as the Pollfish platform stamps out inaccurate or poor quality responses.

As a result, we deliver higher quality data than our less-selective, panel-based counterparts.

What is Survey Fraud?

Survey fraud, or market research fraud is the adverse phenomenon that occurs when survey respondents submit fraudulent or bogus responses. This can occur accidentally, such as when responders undergo survey fatigue, or purposefully.

What would prompt a responder to partake in the latter? They can be your competitors (especially if the survey mentions your brand or makes it apparent that it is conducted by your brand), bots, click farms, or respondents eager to finish the survey to receive an incentive. 

Thus, there are a number of ways respondents can contribute to survey fraud, such: 

  • Providing nonsensical, i.e., gibberish answers
  • Breaking rules
  • Answering suspiciously quickly
  • Hiding their IP address via the use of a VPN
  • Leaving one-word responses in open-ended questions that ask for an in-depth answer
  • Flatlining

In regards to the latter, remember the old advice to “just choose B” all the way through if you didn’t study for a test? That would result in an “F” from us. Participants that choose the same answer repeatedly, try to take the same survey again, or attempt to submit multiple surveys in quick succession don’t pass our test.

Natural Language Processing for Open-Ended Answers (New Feature 2023)

We've recently released an even more advanced type of quality check functionality, in addition to the various others explained in this article. Now, there is a data quality check for open-ended questions; this will apply to the answers to ensure they are of quality. The check applies artificial intelligence, namely Natural Language Processing (NLP).

NLP refers to the ability of computers to understand and interpret written or spoken speech, much like a human would. In this case, our research platform uses its new NLP methods over the given open-ended answers and evaluates their quality. By doing so, it then is able to determine whether to disqualify the respondent who gave the answer or not.

Respondent Verification

We further verify by checking ahead for duplicated IDs via IP or MAC addresses, Google Advertising and mobile device identifiers, and we work with our manually vetted publishers to send unique IDs as an added layer of protection. In-survey questions are designed to add another layer of security against survey fraud, such as requesting an answer to a simple math equation or including identical questions within a survey with the response options re-ordered to verify answer consistency.

Zero Tolerance For Bots

In addition, we have zero tolerance for bot-friendly VPNs, incomplete surveys, or other suspicious activities. We reject responses from any behavior we deem questionable—anything from answering open-ended questions with nonsense to attempting to sign in from multiple countries at once. We’re even alerted if respondents are spending an inappropriate amount of time across questions within the survey.

Rigid Adherence to Targeting

Our data quality is second to none. As such, we’re skeptical of just about everyone, and that’s what makes us the best at what we do. Accuracy is our top priority, which is why we are so critical of our sources and their behavior. In fact, we only include respondents that match 100% of the targeting criteria, even if there was nothing fraudulent about their responses. This includes surveys with multiple audiences, as well as those with stringent respondent qualifications, such as specific answers to screening questions.  Our combination of technology and expertise ensures the delivery of the highest quality data to our customers—every survey, every time.

Multiple Layers of Quality Checks

Pollfish supports multiple other layers of quality checks. This is an ongoing process since both the platform and our technical experts continuously work to avoid survey fraud while fetching the preset amount of required survey completions with the correct targeting. There are several layers that we use to improve the data quality. These include:

The Technical layer: 

  • Includes various checks to ensure first-rate data. Hasty answers check: catches respondents who answer faster than the average time required to read the actual questions.
  • Reset ID Check: Occurs when the responder answered the same survey previously, but with a different device to avoid the same respondent from partaking more than once.
  • Gibberish Check: When the given answers contain text that is considered gibberish, ex: “dsfjkn dfnksj ifjodf”.
  • Same IP Participation: Checks if a survey has been completed before within a certain time from the same IP address of the respondent’s device.
  • Carrier Consistency: Assures that the carrier of the respondent is contained in the targeting market.
  • VPN: VPN users are automatically disqualified from survey participation.

Quality Questions & Responses

Our platform is designed so that your questionnaire is bound to receive quality responses. In order for it to do so, aside from post-answer quality checks, we provide quality answer triggers. Our quality questions include: trap, red herring and attention questions.

  1. Trap questions: Checks that respondents are paying attention to a command, usually one that asks to select a negative response. Responders with acquiescence bias, or those who choose positive responses will be caught.
    1. Ex: Please select "Somewhat Disagree" below
      1. Strongly Agree
      2. Somewhat Agree
      3. Somewhat Disagree
      4. Strongly Disagree
  2. Red Herring Questions: These check if the respondent is engaged with the survey, tracking how logically they answer oddball questions. 
    1. Which of the following is not a sport?
      1. Soccer
      2. Basketball
      3. Cookies
      4. Baseball
  3. Quality Questions: Checks if respondents are reading and comprehending the question, much like red herring questions. 
    1. Ex: Which of the following does not have wheels?
      1. Bike
      2. Car
      3. Skateboard
      4. Elephant
      5. Cart

These are injected within various components in the survey flow depending on each survey’s type to check if the respondents pay attention. Those quality questions are also used in Demographic surveys. If the respondent fails to answer a quality question, a reverse counter is displayed.

Finally, we also check for response quality by banning respondents who provide insufficient quality data from the network. Additionally, our system uses an audit to validate open-ended data to ensure that respondents do not provide inadequate responses. We also have installed a function that wards off copy-pasted answers in open-ended questions and others.


Crosstabs-survey-tool

The Guide to Using Crosstabs in Pollfish (Late 2022 UPDATE)

The Guide to Using Crosstabs in Pollfish (Late 2022 UPDATE)

Crosstabs are a matrix-style format for data visualization and are one of the most useful and common ways that market researchers analyze data. Pollfish offers cross tabs as an excel export for easy synthesis outside of the platform. 

Crosstabs

Analyze Pollfish data using crosstabs

Crosstabs are an easy way for researchers to synthesize data and analyze the relationships between two (or more) variables. The variables represent categorical data from the survey, and are displayed in rows and columns in a matrix for researchers to quickly find data in corresponding cells.

Many traditional tools and services offer crosstab reports, although the process is extremely manual. Researchers may only have access to the raw data from their studies initially and need to request that a crosstab report be generated for them. Because these reports are often an additional service, this can add significant expense to a research project. 

Pollfish has always been at the forefront of market research technology, so we tackle crosstabs a bit differently. Our process is automated to generate crosstab reports from the survey data that we collect, which is a better fit for convenience, cost, and accuracy for teams of all sizes. 

As of May 2021, Pollfish has launched a new edition of crosstabs known as Volume 2 and there will be another iteration coming soon.

Get started with crosstabs in Pollfish

To take advantage of the crosstabs feature in Pollfish, visit the results page of a completed survey, select “Export results” and choose “Crosstab” as your export option. You will be sent an email that notifies you when your export is complete. Open the document in Excel or Google Sheets to get started. 

how to export crosstabs

The crosstab sheet will include four “tabs” across the bottom.

  • Count: This sheet shows the number of responses that fit a row and column.
  • Percentage: This sheet shows the percentage of all responses from the survey that fit a row and column. 
  • Row Percentage: This sheet shows the percentage of the row that falls into a specific column. 
  • Column Percentage: This sheet shows the percentage of the column that falls into a specific row. 

Example results using Pollfish crosstabs

Say you’re interested in Android users, specifically those who might switch to using an iPhone. You could run a survey, similar to the one below to ask men and women of all ages their opinions about the two devices.

crosstabs survey tool
Pollfish platform survey results for iPhone 11.

However, you could achieve a deeper level of insight by exporting these results to crosstabs, and seeing what data correlations come from it. For example, how many women are considering switching to the iPhone? 

Using the “Count” tab, you can see that 39 women from the survey said that they were considering switching to an iPhone. Using the “Percentage” tab, you can see that the 39 women represent 13% of the sample population that was surveyed. 

survey crosstabs
The “Count” tab shows the number of respondents who selected an answer in a category.

 

crosstabs survey tool
The “Percentage” tab shows the percentage of total respondents who selected the answer fitting the categories.

The “Row-Percentage” and “Column-Percentage” tabs are inverse tables of data that show the percentage of the rows that belong to a single column, and vice-versa. You can toggle between these tabs to choose the view you prefer. 

In our example, we can see that 52% of the respondents who were considering switching to an iPhone were women, where the rows and columns are displayed differently depending on the tab selected. 

columns in crosstabs
Data displayed in the "row-percentage" tab (Top) and "column-percentage" tab (bottom) show correlations of the percentage of respondents in a given row or column.

To gain familiarity with crosstabs, you can view the iPhone survey here and check out the crosstab export to see how the data looks. Or, you can export your own finished Pollfish survey to explore your results with a new tool.

Understanding the Updated Crosstab Features

In the Pollfish Crosstabs export file, all questions can appear in both the columns and the rows. In the Crosstab Designer, specifically, researchers can drag and drop to add whatever they see fit for their analysis. The answers can be based on different demographics, along with the percentage of those demographics that have answered in a particular way. 

In our advanced version, the cells include more than just percentages of responses. Rather, the data is featured in boxes, with each box containing various information. This includes the count and percentage. In addition, the new Crosstabs version includes more columns per question, with each column representing a different answer.

The data on each answer is then displayed in each box. This version gives researchers a far more organized and granular view of their survey results.  

What’s best is that researchers can generate these on their own. Moreover, they can easily drag and drop the questions into the report themselves, so that the report features only the relevant data.

The Two Types of Crosstab Solutions

The Pollfish online survey platform offers two types of crosstab solutions. Each offers a different way to layout your resulting data. The second type has been updated and has several new features to power your survey analysis needs. 

  1. The first solution includes the results from the results page. It can appear as: 
    1. All data or Current view
    2. It bridges the gap between the excel individuals file and the results page.
  2. The second solution is called Crosstab Designer
    1. This is available for clients with an Elite plan.
    2. This type of crosstab has new upgrades.
    3. The Crosstab Designer 2.0 allows researchers to preview their crosstabs and instantly download their crosstabs.
    4. This allows researchers to design, preview, and download their custom tabular results view.
    5. It also allows researchers to choose what to crosstab without any limitations. Therefore, it is entirely custom.  
    6. Afterward, they can preview it and download it instantly in seconds on any device
    7. The new Crosstab Designer supports:
      1. Crosstab Previews
      2. Instant downloads
      3. This will soon support A/B tests.

These first two Crosstab solutions offer translations and both of them also can generate .XLS files.

Crosstab Support for A/B Tests (Monadic and Sequential)

Crosstabs have been updated to include questions and answers per concept.

Specifically, if your survey included an A/B test with three concepts and one single selection question, you will get a crosstab with the question repeated three times. This makes it the same amount as the concepts, with both the columns and the rows.

This change is applicable to both types of A/B tests. These are the:

You can filter the responses by concepts, demographics, along with answers and use the current view export, which will generate a Crosstab based on the filtered responses.

crosstabs
Crosstabs now support A/B testing on the Pollfish market research platform.
Crosstabs Pollfish
Create and customize your A/B testing Crosstabs

Our team is excited to help you learn more about this newly updated feature, so don't hesitate to reach out to our 24/7 Customer Experience team if you need assistance.


branded survey

Creating a Branded Survey with a Customizable Logo and Theme

Creating a Branded Survey with a Customizable Logo and Theme

branded survey

A branded survey is a unique way to present your business to your respondents by featuring the likeness of your brand. 

It enables you to create a custom survey experience, which is not merely critical for branding market research, but for all your branding efforts.

In the ultra-competitive landscape of brands today, many of which are jockeying for your attention on the internet, brand awareness is essential. In fact, 45% of marketers rank increasing brand awareness as a top priority for their business. 

As such, branding your surveys is a less conventional, albeit innovative way to increase and maintain brand awareness among your target market.

This article delves into the branded survey, its importance, examples and how to create one with a customizable logo you can place in your questionnaire and elsewhere. 

Understanding the Branded Survey

A branded survey is a survey that outwardly features your brand, whether in name, logo, related image or another type of likeness. 

Such a survey directly points out that the survey is not used for an anonymous source or company. Rather, it is the product of a specific brand that asks internet users to partake in it. 

You can create a branded survey on Pollfish by adding your logo to your survey’s questionnaire and customizing its header, text and more. 

This kind of survey is one of the many market research techniques, as it can be used to collect key consumer insights for virtually any campaign, whether it’s for advertising, customer segmentation, brand reputation or any other market research purpose. 

However, unlike its non-branded counterparts, this kind of survey is unique in that it features your brand front and center. Thus, the respondents will never have to wonder which company or entity they are taking the survey for. 

You can brand your survey in the following ways:

  1. Adding your brand to the title of the survey
  2. Placing your brand name in the introduction of the survey
  3. Putting your brand name in one of the survey questions
  4. Inserting your brand in the thank you or closing page of the survey
  5. Adding your logo to the survey (as opposed to the Pollfish logo or having no logo at all)

Why Branded Surveys are Important  

When you brand your surveys, first and foremost, you are giving your brand a competitive edge. 

That’s because they can provide yet another placement for branded content on the web

Branded content is incredibly important, as it is more effective than pre-roll ads, which are the promotional videos customers see before their chosen content. 86% of viewers could recall a brand after viewing branded content than regular pre-roll ads

Luckily, these surveys aren’t ads, they’re surveys that exist on a massive network on website and app publishers. 

Thus, a branded survey is another means to keep your brand top of mind for your customers. 

This means, in a branded survey, your survey won’t merely be used for typical market research purposes. It will also provide you with brand awareness as it’ll make your customers recall your brand, while those who haven’t heard of you will be prompted to learn. 

branded survey

Branded surveys also enable you to engage in white-label market research. As such, when people come across your survey online, it’ll be recognized as yours only. That’s because there are no indicators of a third party, i.e., a market research survey platform. 

Thus, your survey will appear as proprietary to your brand, thus giving you the full white-label experience. 

For those who support your brand, seeing your logo in your survey will capture their attention better than a survey without a logo or likeness to your brand. As a matter of fact, a branded survey encourages your online customers to check out the survey and most importantly, complete it. 

Thus, a branded survey hooks your target customers’ attention better and leads to a higher survey completion rate, allowing you to get timely results and complete your market research campaign. 

If you are hesitant about revealing your brand in your survey, you may want to consider another crucial reason to do so. This involves collecting feedback after a sale to learn about the entire customer buying journey, along with the customer experience whilst making a purchase.

This involves getting insights into your customers’ e-commerce experience, and post-sales support, along with getting feedback from your own employees. As such, this feature is great to pair with the customer experience survey.

All in all, branding your surveys provides an excellent opportunity for the following:

  1. Creating branded content
  2. Fostering brand awareness
  3. Producing brand recall
  4. Capturing attention 
  5. Forging interest in your survey 
  6. Promoting your values and mission
  7. Standing apart from your competitors who don’t use branded surveys
  8. Understanding your CX during their purchase and post-sales

Get started on yours!

Create a Branded Survey on Pollfish

Creating a white-label branded survey on Pollfish is easy. This is made possible by the examples in the numbered list in the Understanding section. However, what’s special about branding in a Pollfish survey is that you can add a logo to your questionnaire.

Let’s learn how to do this. Like many other features on the Pollfish online survey platform, it’s easy to add a customizable brand logo. In Pollfish, this would live in the Questionnaire portion of the survey. 

    1. Create a new project and choose the deployment method. There are two options: random device engagement (RDE) or sending your survey through your own chosen platforms and specific people.
    2. Go to the Questionnaire section.
    3. On the left-hand panel, go to the bottom and select Themes.
    4. Select the New Theme button. 
      1. You can also select Default survey style and click on Duplicate. (This will create a Default survey style copy field to appear above the Default survey style field). 
    5. Next, customize your theme.
      1. Themes are available to apply to your surveys. There is no need to recreate them from scratch.
      2. All themes are available to all team members.
      3. You’ll have various options that pop up. These include options to customize the following:
      4. Title of theme
      5. Header Options:
        1. Questionnaire logo (add your brand logo)
        2. Progress bar colors
        3. Questions’ colors
        4. Prompt box color
        5. Header background color
      6. Answer Options:
        1. Answers and labels text color
        2. Answers control color
        3. Answers background color
        4. Submit button color
        5. Background color
    6. Once done, hit Save.
      1. This will save the particular branded survey.
    7. Return to the Themes left-hand panel. 
      1. Here you can edit, duplicate or delete the surveys by clicking on the triple dots next to each one.
    8. Add questions to the Questionnaire and voila! — you’ve got yourself a branded survey.

Examples of a Branded Survey on Pollfish

Now that you know how to create this kind of survey on the Pollfish market research platform, let’s take a gander at what it actually looks like.

The following provides examples of branded surveys on our platform:

survey with customizable theme

Use an advanced editing solution:

customize survey

Branding Yourself in Market Research Campaigns

Creating a branded survey is a unique and effective way to not only conduct market research, but to engage in a branding technique.

As such, this kind of survey goes beyond the primary purpose of a market research survey. It serves as a tool for creating brand awareness and other key needs for your branding efforts. 

You can therefore use it to not simply ask questions, but embed the key things you’re proud of about your brand in the questions. 

To do so efficiently, you’ll need a strong online survey platform to host it. This means it is even more important to decide on the proper survey platform before you begin on branded survey creation. 

A potent survey provider will allow you to fulfill all of your online market research activities at speed and with ease. 

Pollfish survey software allows you to create a comprehensive survey data collection, one you can customize to your liking, view however you see fit and organize to the max.

We offer an advanced method to deploy your survey to millions of random users online via the organic sampling method RDE method. 

Additionally, researchers can reap a wide breadth of information on their respondents and access a wide pool of insights in their survey results dashboard.

With such a powerful online survey platform, your branded surveys will always be easy to create and deploy. Thus, you’re in good hands. 


How to Create a Survey with Sensitive Questions and Avoid Being Flagged on Pollfish

How to Create a Survey with Sensitive Questions and Avoid Being Flagged on Pollfish

Setting up a survey that deals with sensitive topics is never an easy feat for any party involved. To avoid trouble in your market research endeavors, we’ve updated our Review Policy for sensitive questions/topics. (See the Pollfish Review Policy section in this article)

Although the Pollfish platform offers a vast pool of question types and makes it easy to incorporate any question type, getting respondents to complete surveys with sensitive questions is not guaranteed.

Our review team may flag your survey and even block it from being launched if we deem it inappropriate.

In fact, if you ask sensitive questions in a reckless manner, it is bound to turn respondents away from completing the survey, or beginning one in the first place. Thus, these kinds of questions mar the survey experience for respondents and can lead to survey attrition. 

But that does not mean you ought to omit surveys and their larger campaigns due to the inconvenience of the questions being sensitive in nature.

You can still create effective surveys by asking the sensitive yet necessary questions as long as you do so with certain best practices to make it a better experience for your respondents. This article explains how.

What are Sensitive Questions?

The notion of a sensitive question is not as subjective as it may appear. These questions make respondents feel embarrassed or uneasy due to the nature of the question, its tone, context or setup. 

Here are some of the question types that can cause respondents to feel uncomfortable:

  • Questions that invade privacy: 
      1. Religion, political stance, sexual behaviors
  • Questions that ask about illegal behaviors:
      1. Drug use, theft, perjury, other illegal acts
  • Questions that pose a risk or paint the respondent in an unfavorable light:
      1. Cheating on partners, tests, taxes, thoughts on their colleagues or job
  • Questions on identification (especially if detailed):
      1. Income, age, race, job title
  • Questions with socially desirable responses:
      1. Voting history, exercising, wearing a seatbelt)
  • Questions that deal with unpopular ideas:
      1. Racism, ageism, etc.

While you cannot change the nature of a question, you can still set it up so that it is poised to be better received — and answered

Other Factors Causing a Distressful Survey Experience

Aside from the questions themselves, there are other factors in your survey relating to the questions that can render an uncomfortable survey experience. As such, you should be aware of these to understand the respondents’ perspective.

Additionally, understanding them will help you avoid running into these pitfalls and optimizing your surveys for effective survey campaigns. The following discusses the major causes of distress and survey attrition in regards to sensitive questions.

  1. The privacy (or lack thereof): Privacy is of the utmost importance when it comes to filling out any survey. When it comes to surveys that deal with sensitive topics, it is especially important, as no responder will want to associate their identity with their answers.
    1. Although your survey is private, perception is key, as respondents may perceive that their participation may still be traced back to them
  2. The mode of the survey: This involves the means of administering the survey; some may send it via email, while others rely on a survey platform.
    1. This is an issue of presentation, which may influence respondents’ perception of privacy.
      1. Ex: Emails sent to respondents remove the air of confidentiality, since it was sent to a particular address, which often is the respondents’ names. 
  3. Brand Reputation: When dealing with sensitive topics, respondents are particularly aware of the organization to which they will provide answers on sensitive topics. 
    1. Some surveys do not mention the brand or organization which they represent, while others may.
    2. In relation to sensitive questions, respondents may feel unnerved to share answers with certain companies.  

How Sensitive Questions Harm Your Survey When Used Incorrectly 

As mentioned in the introduction, using sensitive survey questions without heeding critical best practices have grave consequences for your survey campaign. They tarnish the accuracy of the responses, an issue no survey platform can fully evade.

They also lead to respondents unwilling to take your survey, that is, they won’t even open it to give it a chance. This makes fulfilling your survey quotas and number of completes a more difficult and lengthy process.

Survey attrition is another issue spawned when sensitive questions are used improperly. Market researchers can avoid poor quality data and survey attrition by setting up surveys with sensitive questions in a thoughtful manner, one that fully takes best practices into consideration.

How to Ask Sensitive Questions the Correct Way

Market researchers can still extract responses on sensitive subjects by doing so with best practices. 

As such, you need to devise your survey strategically so that you don’t repel much-needed respondents. In order to keep responders in the survey, having them answer honestly and answering all the questions, apply the following methods.

These methods will avoid summoning feelings of distrust and general unease. They will also help you build your survey in a way that is conducive to a good user experience.

    1. Be upfront about privacy: Relay a confidentiality guarantee.
      1. Either in the survey callout, invitation or introduction, assure your respondents that their participation is completely confidential. 
      2. Let them know the precautionary methods you’re taking to ensure their answers remain hidden from general view and are not associated with their names.
    2. Be transparent with the purpose of the survey. Tell the respondents upfront what the topic of study is along with its purpose. 
      1. Doing so will avoid surprises and when respondents know what they’ll be dealing with upfront, they’ll be less disinclined to complete their surveys. 
    3. Be honest with anonymity. Don’t relay that a survey is anonymous unless it actually is.
      1. On the Pollfish platform, all responses are anonymous based on our terms, so you can state that the survey is anonymous.
      2. Additionally, the survey must contain one initial screening question that states the study’s content and asks for respondents' age and consent. For example:
        1. “The following survey contains questions regarding [sensitive content input]. Are you willing to take part in the following survey? 1. Yes, I am 18 years old and above and I give my consent  2. No’'
    4. Build up to sensitive questions, don’t ask them right away.
      1. Don’t ever present sensitive questions first; instead, lead up to them by asking more neural questions that become more specific with each incoming question.
      2. This way, you can avoid shocking your respondents and turning them away from answering or providing honest questions.
    5. Use ranges instead of specific values.
      1. Respondents may not feel comfortable with revealing the exact amount, especially if it deals with a negative behavior or societal disapproval. 
      2. For example: instead of providing precise numbers as answers to, “how many times have you fought with your spouse?” or “how many times have you smoked cigarettes last week?” use ranges, such as “under 3 times last week,” “3-5 times,” etc.
    6. Use “question loading” to elicit honest answers.
      1. Not to be confused with loaded questions, question loading involves blanketing a question with context, so as to make the subject in question appear more normal and acceptable.
      2. This will make respondents feel less guilty of partaking in a certain behavior, act or inertia.
      3. Ex: Instead of asking “did you exercise last week?” question load the question to normalize the less acceptable answer (of not exercising). 
      4. Question-Loaded: “Given that the average American worker works 9 hours a day and has several responsibilities, exercising is not always a priority. With that in mind, how many hours of exercise did you do last week?”
    7. Use frequency questions instead of yes or no questions, if the topic deals with partaking in a bad behavior.
      1. Instead of asking “have you ever run a red light when driving?” ask “how many times have you run a red light when driving?”
        1. The latter assumes the respondent has already done so, so their response cannot be a lie.
        2. If you used a yes or no question, on the other hand, the respondent would be less inclined to answer honestly, given that negative behaviors are not socially acceptable.
    8. Provide an “I prefer not to answer” option.
    9. Try as one might to frame a question tactfully, sometimes respondents simply do not want to answer a sensitive question.
    10. Instead of losing a respondent due to one such a question, provide a multiple-choice option of opting out.
    11. This is best suited for surveys that include questions other than sensitive ones. If your survey applies questions on sensitive topics only, you should not include this option — unless it’s on one or two particularly sensitive questions.

The Pollfish Review Policy for Sensitive Questions

Starting in December 2022, Pollfish is introducing a more stringent review policy for all surveys dealing with sensitive topics. 

We don’t take sensitive topics lightly, especially surveys that cross the line and become inappropriate. This includes surveys that feature the following content:

  • Rude language (swearing, insults, crude topics)
  • Leading questions (those that contain answers that lead to certain opinions that respondents don’t necessarily hold but have no choice but to select)  
  • Offensive content or language
  • Disturbing content (language, imagery or audio files)
  • Insinuations
  • Hate speech

This means, if your survey is deemed inappropriate, it will not only be flagged, but will have the possibility of being shut down completely. 

Essentially, you won’t be able to run said inappropriate survey. 

That’s why we ask you to please be aware of the content of your survey. Pay attention to all of the elements of your survey, such as:

  1. The overall theme and topic
  2. The subtopics
  3. The demographics
  4. The period of time (proximity to a scandal or controversial event) 
  5. The language and tone
  6. The narrative the questions (and their answers) form
  7. The images and other multimedia files you include
  8. How you address certain sensitive issues (disability, illness, sexuality, race, religion, gender, gender identity, etc., political leanings)
  9. The positioning of the questions (some will need advanced skip logic so that only the most relevant respondents will be routed to a particular question). 
  10. The quotas you set on the demographics and psychographics of your survey audience

Now, let’s get into more basics of our policy. The original policy is composed of three criteria and they are as follows:

  1. Respondents must be at least 18 years old to take the survey. You can review your age targeting in the Audience tab.
  2. The survey must contain one initial Screening Question that states the study’s content, for example: “The following survey contains questions regarding [sensitive content input]. Are you willing to take part in the following survey?”
    1. Your responses are anonymous. 
  3. There must be one question that explains the survey content briefly, along with the purpose of using such information and how you’ll use it.

The Pollfish team needs time to review your survey before pushing it live. If your survey is deemed inappropriate, it’ll be flagged as such in our survey process of approvals. We’ll ask you to edit it by either rephrasing your questions or removing them altogether. 

Remember to be respectful in your surveys as you would be in real life. There is no need to shock or offend, or ask leading questions to push a narrative. Doing so will only tarnish the validity of your survey. 

Extracting the Best Respondent Data

Obtaining quality data relies on several things, such as the questions themselves, the setup of the survey, how it’s introduced and the digital platforms it is deployed in. Additionally, it relies on the aid of a quality check function.

Thus, it’s important to invest in an online survey platform that facilitates the entire survey process — from creation, to deployment, to survey quality checks and post-completion quality checks. The Pollfish platform performs such checks with an AI-powered system. It voids incomplete surveys, those with gibberish answers, users of VPNs and more.

Ensuring the use of a competent online survey tool will maximize the success of your survey, allowing you to avoid the survey bias present in surveys with sensitive questions. 


Van Westendorp pricing meter

Pricing Your Products the Right Way with the Van Westendorp Price Sensitivity Meter

Pricing Your Products the Right Way with the Van Westendorp Price Sensitivity Meter (Updated)

Van Westendorp price sensitivity meterThe Van Westendorp Price Sensitivity Meter is an essential market research tool for determining the price of a new product or tweaking that of an existing product. 

It allows businesses of varying sizes and industries to set the proper price of their offerings, one that is in line with customer expectations. After all, pricing is a key aspect of a product’s success.

When it comes to the success of a product or service, everything comes second to price. While this may appear to be an exaggeration, it rings true, especially during the pandemic. Consumers are now more price-conscious than ever before. 

In fact, 45% of consumers switched brands to save money in the past year. Consumers are well aware of any signs of inflation, as 77% of consumers have noticed higher prices and over half of consumers are shopping at multiple businesses to find the best price — 53% of customers research multiple stores in search of the best price, specifically.

Fortunately, although it is only February, we’ve got another feature making the rounds on the Pollfish online survey platform. The Van Westendorp Price Sensitivity Meter enables researchers to research customers’ willingness to pay for products and services.

This article explains what the Van Westendorp Price Sensitivity Meter is, its importance, what it is like on Polllfish and more.

Understanding the Van Westendorp Price Sensitivity Meter

Also called the Van Westendorp Price Sensitivity Analysis (PSA) in addition to the Price Sensitivity Meter (PSM), this is a pricing model that provides data for decision-making in regard to consumer price preferences. As such, it is used to determine customers’ willingness to pay a range of prices.

In doing so, it helps conclude the prices that your target market deems acceptable, too high, too low and optimal. 

The PSA entered the market research sphere in 1976 by the Dutch economist Peter Van Westendorp. This approach is still in use throughout the market research industry, particularly for product development and to aid pricing strategies. 

The meter itself is a visualization in the form of a graph, which presents ratings on price and value from customers. This data is presented by way of responses to survey questions that focus on the prices of different products and services.

This way, researchers and business owners can understand whether their pricing is too high or too low.

The Importance of the Van Westendorp Price Sensitivity Meter

The Price Sensitivity Meter is important on a number of accounts.

First off, it clearly lays out a wide range of price points in relation to how customers feel about them. As the introduction proves with several statistics and editorial sources, pricing is one of the most of not the most important factors when it comes to product success.

Consumers are more conscious than ever due to inflation and other economic downturns brought about by the Covid-19 pandemic. What makes sense to business owners or product marketers does not always align with the expectations and customer buying behavior of customers. 

Therefore, businesses should always stay in the know of their customers and this applies to their thoughts, hopes and aversions to different price ranges and points. The PSM is an easy way to access this necessary consumer sentiment.

Van Westendorp price sensitivity meter

When it comes to going to market, it is crucial to have a deep understanding of how customers value a product and they view its accompanying price. If you don’t, you will certainly disappoint many current and prospective customers, as there will be less of a demand for your product.

In this way, satisfying your customers with good pricing helps you both maintain and increase your customer retention rate along with helping you avoid raising your customer acquisition cost.

While conducting secondary research is a good starting point, it does not provide you with concrete information on your own customers and products, no matter how similar other products in your niche are to yours. Thus, the PSM is a useful tool, as it provides you firsthand information on your own customers and their thoughts about specific prices and products.

The PSA technique is also important, as it is often used during the new product phase, such as in the customer development process to assist you in setting the right price. In this case, the van Westendorp PSM uncovers a potent entry price strategy.

When it comes to established brands and existing products, the PSM will guide your pricing strategy for repositioning a product, or advertising it with new features. In any case, the PSM is a useful tool in gauging price sentiment from your customers and setting the right prices for all your offerings. 

How the Van Westendorp Price Sensitivity Meter Works

The PSA begins with researchers’ using an input, which is respondent data based on questions revolving around products and their accompanying price. 

The researcher will first present respondents with a product or service, which can be just about anything. They will attempt to get the respondents to become familiar with the product or service and then ask them four questions on it. These serve as the basis of the Price Sensitivity Meter, which the research will then input into the PSM chart.

This method involves using a description of the product or service at hand, which can exist as a video, image or audio file, or text. After respondents view this information, they are then asked the four Van Westendorp questions.

Following this, the results of the questions are entered on the Van Westendorp chart. Let’s learn how they appear on the Pollfish platform.

The Van Westendorp Price Sensitivity Meter in Pollfish

Van Westendorp price sensitivity meter

The Pollfish online platform presents the results of the PSA method in the aforementioned chart. The chart is a representation of the cumulative percentage of respondents/price.

The Price Sensitivity Meter appears as the following on the platform:

Price Sensitivity Meter

This chart is the outcome of the PSA approach, showing researchers the price range from the lower bound to the upper bound for the product/service. It also allows them to unearth the “optimal price” point and the “indifferent price point.”

This marks the end of the standard or basic PSM. However, the Pollfish platform offers an enhancement to this market research technique. This is called the Newton-Miller-Smith Extention.

Price Sensitivity Analysis

The NMS extension grants researchers the ability to add additional questions (2 or more) about the likelihood of customers purchasing the products and services they were shown/ asked about.

These questions will appear after the four Van Westendorp ones. They exist as rating scales. For example: “On a scale of 1-7, how likely are you to buy this product?” 

Van Westendorp Price Sensitivity analysis

Ultimately, this extension allows researchers to not only understand customers’ sentiments towards price points, but to ascertain whether they will buy the products or not.

The Van Westendorp Price Sensitivity Meter Survey Questions

These questions remain the same in the PSA model. The following displays these survey questions: questions, which exist as numeric, open-ended survey questions

  1. At what price would you consider the product to be priced so low that you would feel the quality couldn’t be very good? 
    1. Discovers whether a price is too cheap
  2. At what price would you consider the product to be a bargain—a great buy for the money? 
    1. Discovers whether a price is either on the cheaper end or a good value
  3. At what price would you consider the product starting to get expensive, so that it is not out of the question, but you would have to give some thought to buying it?
    1. Determines whether a price is expensive or on the upper pricing echelon. 
  4. At what price would you consider the product to be so expensive that you would not consider buying it? 
    1. Determines whether a price is too expensive or on the upper pricing echelon. 

Using Advanced Skip Logic (2022 Update)

The Van Westendorp Pricing Meter now supports the usage of the Pollfish advanced skip logic feature. This valuable addition to the Price Sensitivity Meter enables you to route respondents to relevant follow-up questions based on their previous answers. Thus, you can create a deep dive into customers by asking them questions based on their specific answers from a prior question.

You can use advanced skip logic when a respondent exits the Van Westendorp PSM.  This new capability strengthens and empowers the PSM to be more relevant and personalized to respondents' survey experience.

Forming Optimal Pricing Strategies

Forming an optimal price strategy is difficult; this is compounded when you consider shifting expectations with new seasons. After all, you ought to stand out from your competitors by offering better prices, but also ensure that you’re not selling yourself short.

The Van Westendorp Price Sensitivity Meter allows you to do just that, saving you the guesswork and hesitation in setting prices across all your products and services. What’s best is that it is included in the Pollfish online survey platform. 

Remember, you should use a market research platform that deploys surveys within a mass network of publishers, ones that account for major websites, apps and mobile sites, along with one that also grants you the ability to send surveys your own way.

A strong market research platform will also attract your survey audience with an appealing digital element that leads to your survey and easily grabs users’ attention. In addition, it will partner with publishers who gamify surveys, allowing respondents to gain incentives while playing a game, making the experience far from boring.

You should also opt for an online research platform that makes buying survey respondents a quick and simple process. This way, you’ll collect all your necessary data from the right respondents in a short space of time. 

Additionally, use a platform that features artificial intelligence and machine learning to remove low-quality data and offer a broad range of survey and question types.

Applying an online survey platform with all of these capabilities will empower you to reach any survey audience and gain all of their thoughts on all price ranges, allowing you to form smarter and more effective pricing strategies.


randomize survey

Grouping, Shuffling and Randomization in the Pollfish Questionnaire (2022 Update)

Grouping, Shuffling and Randomization in the Pollfish Questionnaire (2022 Update)

As many researchers learn early on, it can be hard to limit bias in surveys which has negative consequences on the quality of data. 

randomize survey

Some best practices for minimizing bias include randomization of questions and the distribution of the questionnaires themselves to reach a diverse audience. Shuffling unordered answers or reversing the order of a scale has also been shown to reduce bias by displaying clear, but differentiated answer options to respondents. 

Questions such as scales that follow an order should be reversed for clarity, whereas answers that do not follow a sequence should be shuffled for increased randomization.

 

Although Pollfish has supported shuffling and grouping within individual questions, we have recently released the ability to fully randomize your questionnaire. You can shuffle groups of questions and even shuffle the questions within the group for even more randomized survey opportunities. 

Here’s how to apply it in your next survey.

Grouping Questions in Pollfish

When you visit the questionnaire section of your Pollfish dashboard, you'll see we offer new randomization capabilities. Here, you’ll be able to assign questions into groups on the questionnaire. 

This can be helpful for managing your survey in specific sections, for example, if you wanted to first investigate behavior before diving into specific interests. 

There is no need for a group to contain any certain number of questions. A “group” can contain a single question if needed, however if Grouping is applied to the questionnaire, every question will need to be assigned to a group.

You can manually re-order the groups or the questions within the groups by dragging and dropping, adding or deleting questions as you would in a regular Pollfish survey.

Keep in mind that when you delete a group, you may also delete the questions within the group by selecting “Delete All.” If you’d like to remove the grouping feature but keep your questions, make choose the option that says “Delete Group Only.”

Shuffling and Randomizing Questions in Groups

The groups themselves and the questions within the group can be shuffled randomly or reversed in order to reduce bias without disrupting the logical flow of the questionnaire.

However, there is no ''Grouping and Shuffling'' as an aggregate option anymore. Instead the option has been divided into ''Randomize Questionnaire'' (located on the left side) and Group of Questions (located at the bottom of the Question type drop-down menu).

A group can also be “fixed” while other groups are shuffled. For example, perhaps you want to provide a description before a group of questions that will provide context. In this case, you can choose to put a description question-type in a group and shuffle the remaining groups in your questionnaire.

Don’t forget that you can (and should) include shuffling and reverse order options on your individual questions as well, adding to even more randomization and cleaner data.

Originally, we had 3 main ways to shuffle: 

  • Shuffle the answers in an individual question
  • Shuffle groups of questions in your questionnaire
  • Shuffle the questions within a group

But now, there are more options for randomizing questions.

You can enable Randomize Questionnaire and select Shuffle All, to shuffle a group of questions with the rest of the questions. If you select the group, you have an additional option; you can randomize the questions within the group. When you turn off the Randomize Questionnaire toggle and shuffle the sub-questions, the platform only shuffles the questions within a particular group, the rest of the questions won't be shuffled.

Essentially, you can shuffle anything you choose while leaving certain questions fixed.

Here's how else you can shuffle on Pollfish:

  • Shuffle but keep first one fixed
  • Shuffle but keep first two fixed
  • Shuffle but keep last one fixed
  • And many other ways!

Pollfish Question Randomization Capabilities

Now, it's time to see exactly what our question randomization options look like on the Pollfish platform. To get a visual representation of the functions mentioned in the previous section, look no further.

The following images show how we're offering randomization capabilities on our platform:

Randomize Questions

randomize survey questions

Randomize Question Options

Randomize Question Options

 

Randomize Sub-Questions

Randomize Sub- Questions

Groups of Questions

Groups of Questions

 

Adding logic to groups: The Van Wesendorp Pricing Meter and A/B testing (2022 update)

Although grouped questions didn't originally include skip logic, the product team has been hard at work to include this feature. Thus, advanced skip logic will support grouped and shuffled questions, as well as allow for A/B testing, a critical and useful feature in advertising effectiveness surveys and more. 

You can now use advanced skip logic when a respondent exits a group or an A/B test. You can also use it with the Van Westendorp Price Sensitivity Meter. This is a pricing model that provides data in regard to consumer price preferences. It is used to determine customers’ willingness to pay a range of prices.

This meter takes the form of a graph, which visualizes ratings on price and value from respondents. This data is presented as responses to survey questions that focus on the prices of different products and services.

Thus, when a user exits a group via the A/B testing or Van Westendorp features, you can route them to a specific question.


closed-ended-survey-questions

Closed-Ended Vs Open-Ended Questions: Everything You Need to Know (2022 Update)

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Automating Text Insertion in Pollfish Surveys with the Recall Information & Carry Answers From Features

Automating Text Insertion in Pollfish Surveys with the Recall Information & Carry Answers From Features

Automating Text Insertion: Using the Pollfish Recall Information & Carry Answers From Features

Automating Text Insertion in Pollfish Surveys with the Recall Information & Carry Answers From Features

Pollfish offers powerful automation features that allow you to dynamically insert text into survey questions and answers.

These features help personalize surveys, improve respondent experience, and streamline survey creation.

This guide covers the two primary methods for automating text insertion: Recall Information and Carry Answers From.

1. Recall Information Feature

The Recall Information feature allows you to reference a respondent's previous answer within a later question. This helps create a more seamless survey experience by making questions feel more tailored and relevant.

How It Works:

  • This feature pulls responses from an earlier question and dynamically inserts them into subsequent questions.
  • The recalled text appears in brackets {} where it will be inserted.
  • You can recall text from all question types, including:
    • Open-ended questions
    • Multiple-choice and single-choice questions
    • Matrices such as:
      • Single Matrix
      • Multiple Matrix
      • BiPolar Matrix
      • Van Westendorp Pricing Meter

Example:

  1. Q1: What is your favorite beverage? (Open-ended)
  2. Q2: You mentioned {Q1} as your favorite beverage. How often do you drink it?

If the respondent answered "Coffee" in Q1, the follow-up question would appear as:

You mentioned Coffee as your favorite beverage. How often do you drink it?

2. Carry Answers From Feature

The Carry Answers From feature allows you to pipe selected answers, unselected answers, or all answers from a previous question into a following question. This makes it highly flexible for customizing follow-up questions based on user selections.

How It Works:

  • You can choose to carry over only selected answers, unselected answers, or all answers.
  • These answers will be displayed dynamically in the follow-up question.
  • This works best for single-choice or multiple-choice questions.

Example:

  1. Q1: Which of these snacks do you like? (Multiple-choice: Chips, Popcorn, Pretzels, Cookies)
  2. Q2: You liked {selected from Q1}. Which is your favorite?

If the respondent selected "Chips" and "Popcorn" in Q1, Q2 would be displayed as:

You liked Chips and Popcorn. Which is your favorite?

Alternatively, if using {unselected from Q1}, it would display:

You didn’t choose Pretzels and Cookies. Would you consider them?

Key Benefits of These Features

  • Personalization: Makes surveys feel more conversational and engaging.
  • Efficiency: Reduces the need for redundant questions and manual survey customization.
  • Flexibility: Supports different response types and conditions to tailor survey flows.

Where to Find These Features

You'll find Recall Information & Carry Answers From features on your survey questionnaire design page

  1. While designing your survey, navigate to the question where you want to insert dynamic text.
  2. Click on the "Recall Information" or "Carry Answers From" option in the left menu bar
  3. Select the relevant previous question.
  4. Choose whether to recall specific responses or pipe selected/unselected/all answers.
  5. Preview your survey to ensure the logic flows correctly.

By leveraging Recall Information and Carry Answers From, you can create more interactive and customized surveys, enhancing both respondent engagement and data quality.

Related Reading

We also offer another critical feature for building your surveys: the advanced skip logic feature, which routes respondents to relevant follow-up questions based on their previous answers. 


constant sum question

Constant Sum Question: A New Matrix Question Type to Customize Your Survey

Constant Sum Question: A New Matrix Question Type to Customize Your Survey

constant sum question

We’re thrilled to offer researchers yet another new question type to power their surveys: the constant sum question.

This can exist as a Matrix question type on the Pollfish market research platform. As such, this is an addition to another Matrix question we offer: the Bipolar Matrix question type. 

As you know, surveys are a great tool to conduct both qualitative market research and quantitative market research. But now, with this new question type, you can create questions with quantitative elements.

That’s because constant sum questions enable respondents to enter numeric data, wherein each numeric entry is summed up and displayed to the respondent.

You can use this question type for a consumer analysis, along with researching everyone in your target market: donors, students, employees, partners and more. 

This article explains what a constant sum question is, its use cases, importance, how to create one on Pollfish and more. 

What is a Constant Sum Question?

A constant sum question is used in a market research survey; it allows respondents to assign a specific number of points to all the answer options in the question. 

Thus, this is a multiple-choice question, one that requires respondents to enter a numeric value for all choices per question. 

The type & total of these points can be defined by the researcher while designing the survey. When these points are defined, respondents won’t be able to answer with values that exceed the maximum points allowed.

The points can take whichever unit you wish to study, such as currency, hours, frequency, etc.

This question type allows you to calculate the numerical aspects of customers' decisions and everyday lives, allowing you to better understand their customer buying journey and virtually all else. 

Let’s delve further into the usage of this question type. 

Constant Sum Question Use Cases

The constant sum question type gives an understanding of how your respondents value each answer option per question. 

These options revolve around a specific topic and inquiry, such as how many times within a certain time period customers buy certain products, or how they rate particular products.

Therefore, you can apply this question to a wide variety of research. The following lists key use cases of this kind of question. This is not exhaustive, as you can ask respondents to assign value to essentially all topics and issues.

  1. The dollar (or other currency) amount spent 
    1. On specific items
    2. On certain days
    3. On budgets 
  2. Amount of time
    1. Taking part in particular habits
    2. Working on a project
    3. Leisure time
    4. Taking care of responsibilities
  3. Percentages
    1. Allocating portions to various activities
    2. Viewpoints
    3. Inclinations
    4. Habits
  4. Rating systems
    1. Scales (1-10, etc) on products and services
    2. Ratings on customer service
    3. Easiness of a product, school or work assignments
    4. Ratings on overall customer satisfaction

The Importance of the Constant Sum Question 

This kind of question is important for various reasons.

First off, it is useful for product research. If customers feel that certain features of a product or service are more important than others, they will allot more points to those features. 

Thus, researchers will get a clear indication of the products (and product features) that customers are satisfied with and not. 

Using a constant sum scale is also a great way to create differentiation within a data set. It helps you determine which factors are important and which are not for your target market sample

constant sum question importance

They are especially helpful in cases where many factors are critical and overlap in some sense. Thus, studying many factors is no longer a hindrance: you can just create an answer option for each factor.

The respondents will assign it a point or rating so you can see the nuances of each factor, especially when it comes to how your customers feel about them. 

As such, this question allows you to study multiple aspects easily, as the data this question yields is straightforward and to the point. 

This question is also important in a case where you seek to get purely quantitative data. Again, this is useful when dealing with larger sets of answer options. In this case, open-ended questions and other qualitative questions won’t be useful.

Additionally, this question type is especially convenient when you don’t want to form individual questions on a specific aspect. 

This would require answer choices unique to the aspect in question, whereas, in a constant sum question, you can fill in various aspects per question.

You can see the sentiments on each aspect displayed in a simple numerical format. This is useful for maintaining a shorter survey, which is a common survey best practice.

In all, this type of question provides convenience for your study and a good UX for your respondents. 

Examples of the Constant Sum Question 

We dove into the various use cases of this question and now we’ll walk you through specific examples. 

Example 1: 

Ask respondents to allocate 100 points on the expenditures of their surplus goods, AKA, non-essential items. You can create your own point system or use a currency. 

Provide a list of options and ask them to assign the points in order of importance. 

Let’s say they spend $20 on movies, $70 on gadgets, $10 on miscellaneous expenses. With the constant sum question, you’ll find out which groceries are the most important for the respondents, as well as which they spend the most and least on. 

Example 2: 

Ask respondents their views on a particular digital experience with your business. Your answer options can include emails, customer service sessions, finding what they need on your site and more. 

You can customize your scale to your liking. As such, you can use points via a scale of 100, or 10. You can also use percentages, especially when talking about the time spent on each. 

It would be like this: rate the time you spent on the digital experiences with our company: viewing the homepage - 30%, reading a blog post - 20%, searching for products - 40%, speaking with a support rep via chat - 10%.

They can also rate how they viewed each experience; this would require a scale of 1-10, or 100, depending on researcher preferences. 

Example 3: 

You can discover how well your customers know and feel about certain brands, especially useful if they are your competitors. 

As such, you can ask them to rate how they feel about each brand along with how much time they’ve spent engaging with it.

This can appear as such: rate how much you’ve engaged with each brand, which can include buying from them, viewing their items, reading their content, etc.: Macy’s- 30%, Old Navy -15%, Marshalls - 45%, Burlington Coat Factory - 10%.

How to Use the Constant Sum Question on Pollfish

Creating a constant sum question on the Pollfsih platform is easy and straightforward. 

For respondents, it’s as simple as allocating a certain point to each answer option. See the section above with examples of how respondents can answer the question. 

For researchers, it involves implementing the question in the questionnaire section, along with adding and customizing acceptance criteria. 

Here is how to add it to your questionnaire:

  1. Go to the questionnaire section of the survey after creating a new one.
  2. Select a Matrix question and then the Answer type: Constant Sum.
  3. You can lift the Must total validation and change it to Continuous Sum.
  4. There are 2 appearances as well. 
  5. You can add a sign (if you seek) and select if you accept decimals or not at responses.

constant sum questionCreate the survey you want 

The Pollfish team is constantly working to improve your survey experience, so you can expect us to continue updating and upgrading our platform with more features. 

With our vast array of question types, you can form any survey and any research campaign.

Our research platform is optimized for both the respondent and the researcher. Thus, it is a win for all parties involved. 

Researchers can reap a wide breadth of information on their respondents and leverage a wide pool of insights in their survey results dashboard.

Pollfish also provides artificial intelligence and machine learning to remove low-quality data and a broad range of survey and question types to customize your surveys.

In addition, there’s the advanced skip logic feature, which routes respondents to relevant follow-up questions based on their previous answers. 

With a research platform containing all of these capabilities, you’ll be able to set up any survey you want, study any group based on demographics and psychographics alike and reap high-quality data.