quantilope's new Topic Analysis now lets users enjoy less manual work for customized topics, better actionability from Topic Analysis chart outputs, and the ability to input most languages for the analysis - without needing to change language settings.

Below is an example from quantilope's syndicated study in the Body Wash category - showing the creation of a custom topic ' Strong smell' : 

As another example, below is what an output now looks like with Topic Analysis, showing clear and actionable topics: 

Topic Analysis is available to all clients that have accepted Microsoft as a data processor, and is available on both Analyze 1.0 and Analyze 2.0 versions of quantilope's platform. 

To learn more about this new analysis for open-ended text questions, reach out to your Research team lead! 

To complement our existing data quality features, we now offer a Pre-Survey Defense add-on that offers an extra level of protection to catch low quality responses before a respondent even clicks into a survey. Our Pre-Survey Defense module blocks any non-human or suspicious activity, such as: 

• Duplicate Entries: Identifying users attempting to participate multiple times

• User Emulators: Detecting the use of software designed to mimic human behavior

• Anonymization Tools: Flagging the use of VPNs, TOR networks, and proxies

• Web Crawlers: Identifying automated bots scraping data

• Known Fraudsters: Matching against databases of individuals involved in online fraud

• Other Indicators: Analyzing IP addresses, device fingerprints, and behavioral patterns

To learn more about this premium feature, get in touch below or reach out to your quantilope team lead!

quantilope has added two new methodologies to its largest suite of advanced methods - providing platform users with 15 total methods to choose from in their consumer research studies.

These two new methods: Mental Availability analysis and Mental Advantage analysis are available for CI Tracking clients to better understand their brand from a consumer lens. Both methodologies derive from the work of Professor Jenni Romaniuk (of the Ehrenberg-Bass Institute for Marketing Science) and are rooted in scientific research - making them more actionable than typical tracking funnel metrics. 

As with all other quantilope methods, Mental Availability analysis and Mental Advantage analysis are automated so platform users don’t have to worry about any complex, manual calculations. Below is a bit more on each method: 

Mental Availability:

Discover how readily your brand comes to mind for consumers in specific buying scenarios. 

Using the results from an implicit pre-test (SIAT) to determine the top 20 Category Entry Points (CEPs) for your study, respondents will select which of those CEPs 'fit' with your brand (and all other competitors included in your study). The result is 4 key Mental Availability metrics:

• Mental Market Share: How present a brand is in consumers' minds with regard to all Category Entry Points (CEPs) and brands.
• Mental Penetration: How many consumers have at least some mental availability of a brand.
• Network Size: How broad/varied category associations are for each brand in your category.
• Share of Mind: What other brands customers are thinking of in addition to a specific brand (among those with MPen for the brand of interest).

Learn more about Mental Availability here!

Mental Advantage:

Identify how your brand's actual association with a CEP/brand attribute deviates from the expected association - given your brand's size and the commonality of that CEP/attribute for your category.

This analysis points out areas where a brand might want to shift their focus away from (if they already have a strong advantage) to make room for other areas of growth. It also lets brands know where to maintain associations/CEPs that are currently performing as expected. These recommendations are clearly visualized using a heat-map type of chart (as exemplified below from quantilope’s Body Wash BBHT study):

Learn more about Mental Advantage here! 

For more on Mental Availability and Mental Advantage analyses, reach out to your CS team lead! 

Reduce the reliance on external agencies by automatically translating your multi-language study to any language through the direct integration of translation services in quantilope's platform!

For more information, get in touch with your customer success team lead!

Upon releasing our Better Brand Health Tracking solution, we focused on four key analyses known as Mental Market Share, Mental Penetration, Network Size, and Share of Mind. Now, we introduce another key analysis of BBHT known as Mental Advantage.

In her book, Better Brand Health, Research Professor Jenni Romaniuk (of the Ehrenberg-Bass Institute) highlights how Mental Advantage analysis accounts for two very important factors influencing brand-attribute-associations among category buyers: past brand buying and prototypical brand buying. 

• Past brand buying:
  When a consumer buys from a brand, they are far more likely to associate that brand with any given attribute than a consumer who has never purchased from that brand before. Because of that, the big-name, global companies within a category are going to get more attributions than smaller ones (giving them an unfair advantage when directly comparing them to smaller brands).
  
  
• Attribute commonality:
  Attribute commonality refers to the associative strength an attribute has with a given category. Some attributes are more strongly associated with a category, like 'to protect wounds' for bandages or 'to call friends' for smartphones; these common, or, 'prototypical' attributes will be more strongly associated with different category brands than less common/prototypical attributes, making those other attributes appear less important for brands to consider (when in reality, they may be areas of great potential for a brand).

To learn more about Mental Advantage analysis, get in touch with your customer success team lead!

After several years of extensive training sessions, learnings, and audits, quantilope is proud to share it has earned a globally-recognized certificate: ISO 27001.

ISO stands for International Organization for Standardization. Achieving an ISO certification is a significant milestone, demonstrating a company's commitment to security, efficiency and, most importantly - customer trust, through a best-in-class information security management system (ISMS). The ISO 27001 certificate provides added assurance that all company data is under the best possible security protocols.

To continue offering the most competitive and advanced insights platform, quantilope is proud to introduce quinn, its market-leading AI Co-Pilot integrated directly within the platform!

quinn leverages Generative and Synthesizing AI to provide inspiration and guidance when developing advanced method inputs, analyzing data charts, and summarizing dashboard insights. Over time, quinn will continue to expand its list of AI-driven features and tools to make researchers' lives that much easier.

quantilope now offers an integrated typing tool that works seamlessly with our Consumer Intelligence Platform. With this rollout, quantilope users no longer have to bring their quantilope data to external typing tools, work between various platforms, or manage multiple third-party relationships. 

For clients that don't already have existing typing tools, quantilope's new integration allows users to run a segmentation study and generate a typing tool all within quantilope's platform - making it the simplest approach to a typing tool on the market. quantilope's team provides support throughout the entire process, from tool generation to integration within the survey. Once integrated, customers can easily reuse the tool whenever needed. 

quantilope's Typing Tool Integration is beneficial to clients who...

• Already have a typing tool and want to use it in a quantilope project

• Want to create customer segments that they can reuse in follow-up quantilope surveys

• Want to analyze their customer segments or target a specific customer segment 

To learn more about quantilope's Typing Tool Integration, get in touch with your CS representative! 

MIAT (Multi Implicit Association Test) is our new naming convention for the previously-named MAT method, which is used to test implicit associations around brands, products, or categories in a competitive environment.

MIAT, along with a changed name, has enhanced user experience with an easier setup and a better training module, improved calculations for weighted response times, and a more intuitive/streamlined participant view. 

For clients or prospects who never heard of or used MAT before: 

MIAT is quantilope’s way of testing consumers' subconscious associations toward multiple brands, products, or categories at once. It is grounded on the speed of reaction time, uncovering implicit associations participants may not even be aware of, and is beneficial for clients looking to run a category brand audit, optimize their product line, or test visual elements such as logos.

In the MIAT, participants choose which of the static elements fits best to the displayed association. Unlike any other tool on the market, this implicit method is also seamlessly integrated into our mobile-first participant view. The new interface allows researchers of all experience levels to set up a MIAT in just a few minutes.

As shown below, quantilope’s MIAT is…

• The only multi implicit test on the market to be mobile-ready and automated 
• Cost-efficient by testing multiple elements at the same time
• Simple to set up and run for any research skill level 
  
  

To learn more about MIAT and how you might leverage it for your own business needs, get in touch with your dedicated research consultant! 

quantilope’s PowerPoint Export now allows users to quickly export their platform charts into PowerPoint and edit them directly - no screenshots necessary! 

With this feature update, users can: 

• Customize quantilope charts directly in PowerPoint  
• Speed up their reporting process when reporting with traditional presentations 
• Reduce manual effort when building PowerPoint slides
• Merge quantilope platform data with other data sources directly in PowerPoint (through manual editing)

This new feature is exciting for any clients looking to apply their own branding/designs to charts (beyond colors and logos which are available in the quantilope platform), or for those looking to annotate/highlight certain data points and edit their data in some other capacity.

For a quick demo of what this new feature means for you, check out this video from our very own Product Team: 

And we aren’t the only ones excited about this. See what our client at Bakkt had to say about this new feature during the rollout phase: 

"quantilope's new PowerPoint feature is a game changer for how integrated our quantilope data is into our internal reports. It’s so simple to use and customize, and perhaps most importantly - has significantly cut down on the time it takes to create a deck/report. This has taken our ability to make our data actionable and shareable to the next level." - Kim Kardash, VP of Customer and Market Insights at Bakkt

To learn more about quantilope’s PowerPoint Export, get in touch below! 

Can you relate to any of the following? 

• Current brand tracking solutions are not efficient (in terms of cost or time)
• Brand tracking outcomes aren’t always actionable or relevant
• We need our tracking study to tell us more about our brand than just awareness or usage 

If so, you’ll be excited to learn more about quantilope’s new Brand Health Tracking solution, now available within the Consumer Intelligence Platform. 

quantilope’s new brand health tracking model is based on the acclaimed work of Professor Jenni Romaniuk, of the Ehrenberg-Bass Institute of Marketing Science (author of Better Brand Health and co-author of How Brands Grow). The model is centered on the idea to design for the category, analyze for the buyer, and report for your brand. It works by leveraging two modernized brand health tracking concepts known as Category Entry Points (CEPs) and Mental Availability.

Category Entry Points are essentially the ‘cues’ that make a consumer think about a specific buying scenario - such as thinking to order a soda at a restaurant, bringing soda to a neighbor’s BBQ, or buying soda for a family party. Mental availability is what makes consumers think of your brand in those buying scenarios (i.e. ordering Coke at a restaurant or buying Pepsi for a party). 

What does all this mean for you? quantilope clients can improve their brand health tracking all while saving time and money through the use of technology and automation (with a pre-templated questionnaire, report, and dashboard). 

In summary, quantilope users who leverage this new approach to brand health tracking will have access to: 

• A templated and research-consultant-guided pre-study to prioritize relevant buying situations (CEPs)
• A templated and research-consultant-guided brand health tracker survey based on the pre-study, including pre-built report charts and a templated dashboard
• Real-time tracking insights for instantly-actionable decisions 

The quantilope Academy has just rolled out its first advanced method course: Count-Based Maximum Difference Scaling!

In this course, you’ll become a master in all things MaxDiff - including the various applications of the method, how to set it up in the platform with a simple drag and drop, the benefits of MaxDiff, and an understanding of how the analysis works.

Though not to worry - all the analysis takes place automatically on the backend so you never have to worry about any manual calculations…that’s not our style. 

Check out quantilope's Count-Based MaxDiff Course here - https://academy.quantilope.com/paths

Our new Single Implicit Association Test (SIAT) is here!

SIAT (Single Implicit Association Test) is our new naming convention for the previously-named SAT method. Along with the new title, we've enhanced the user experience with an easier setup, a better training module, and improved calculations for weighted response times. These SIAT improvements make this advanced implicit method even better than it was before. 

Read more about SIAT here. 

quantilope's open text data cleaner flag now automatically identifies participants who provide meaningless answers in open text or open table questions. These could be answers such as: 

• okncmowmcp

• 9280i3edj93nu0k2ke2dx

• %^&^T*@E&HK

This new analytics feature applies to the following languages - automatically detecting gibberish responses in each: 

• English

• German

• French

• Spanish

• Italian

• Polish

• Dutch

• Portuguese

• Russian

With this new feature, users can save time reviewing their data files for poor-quality responses to open-text questions, leaving more time to create a meaningful story from the insights.

If you would like to learn more about this new feature, please contact your CS team.

quantilope survey participants can now take conjoint on the go! 

Using a state-of-the-art design for mobile applications, users can now program a choice-based conjoint for mobile participants (in addition to the already-available desktop and tablet compatibility). 

To enable this new feature in Survey 2.0 projects, click 'customize survey' in the survey preview window. Then click on devices, and toggle on  'allow smartphones'. 

This will allow mobile users to see the question text and 2-3 alternatives shown at once with up to 6 attributes shown for each alternative. 

Reach out to your CS team to learn more about our new mobile conjoint compatibility! 

Creating showreels with inColor just got a whole lot easier!

inColor users can now automatically generate a showreel: 

- using responses filtered for a particular emotion 

- using specifically-selected responses

- using all responses 

These updates mean users no longer have to sift through video feedback for certain sentiments or responses to include in a showreel, this is now done automatically based on your preferred criteria. 

If no responses include a selected emotion for automated showreel generation, users will see a notification informing them of such. 

To learn more about inColor's automated showreel generation, get in touch with your CS team or check out the informational page here. 

Topic analysis is now available for open-ended questions, providing the option to cluster individual sentences into overarching topics or themes with similar meanings. 

This provides a quick visualization of open-ended content, without having to read through each sentence individually. This analysis is automated, though users have the option to review and customize topics/themes as they see fit. 

Learn more here. 

Have you seen quantilope's survey 2.0 with an all-new user experience and design?

This mobile-first version of the survey platform improves response quality for an even more engaging and effective respondent experience.

Aside from an improved look and feel, respondents can now review their answers with backward survey navigation - ensuring final answers are truly reflective of consumer sentiment.

Reach out to your quantilope team to try it for yourself!

It's now easier than ever to streamline your research process with quantilope's new and updated survey templates built directly into the platform.

Users can simply select a template that relates to their research study (i.e. brand positioning, concept testing, etc.) and all core questions related to that type of research study will generate automatically. 

quantilope's templated surveys work the same way as those built from scratch - giving users the option to further customize their study however they wish. Simply drag & drop any additional questions or advanced methods from the pre-programmed library. 

Many of the templates go even further to include prebuilt dashboards, helping you to create final insights reports in just minutes.

Read more about the templates here. 

quantilope's video-based qualitative research solution just got more versatile.

You can now rank emotions when analyzing expressions with multiple interpretations using inColor's enhanced emotion analysis AI.

In addition, you can now automatically translate video captions into 11 languages to easily develop showreels for international studies.

Request a demo here. 

quantilope's new response table allows users to review and clean open-end responses from open-text and open-table survey questions, without needing to export a raw data file. 

With this update, verbatim answers are now shown in a table directly under a word cloud chart in the 'Analyze' tab of the platform, along with each verbatim's associated respondent ID. 

To learn more, or to answer any questions about this new response table, please reach out to your Customer Success representative.

Our chart settings just got even more intelligent, organized, and easy to use!

Rather than clicking into the settings gear tab and having to scroll up/down to see changes implemented on a chart, users will now enjoy sidebar navigation for all chart settings, allowing them to make changes to the data labels, text size, axis scales, significance testing, and more, while still having a clear view of the chart undergoing these changes. 

This update also makes it easier for users to change the colors of the bar charts, while still having the sidebar settings visible (previously, these two settings were split between two different screens).

Here's what users will now see in the app when changing their color and chart settings: 

While these are all fully customizable settings, and can easily be 'applied to all',  recent updates to our chart features also change the default settings to be more aligned with commonly-heard feedback. Specifically, the default decimal value is now set to zero instead of one, and the default text size has been increased from 12 to 14. 

Lastly, this new sidebar navigation layout leaves room for even more feature improvements to our platform's charting experience in the future, which can be added with a scroll function to this navigation bar.

We hope these updates to our charting experience create a better overview for our users as they customize and manage their chart data. 

To learn more, or to answer any questions about these new chart settings, please reach out to your Customer Success representative.

quantilope has recently implemented a new feature to our charting capabilities: manual data sorting. 

This new feature allows quantilope users to drag + rearrange any singular data point within a chart as an alternative to sorting in ascending/descending order, or alphabetically. With this new feature update, users are able to make their charts much more customizable to their unique brand stories. 

Users are able to combine this new chart sorting feature with the existing sorting capabilities already integrated into our platform. For example, a user can start by sorting a bar chart in ascending order (1,2,3) then ALSO drag a particular data point to the top of that chart.

An example of this is shown below, where data is sorted in ascending order, but the top brand has been manually relocated to the top position (perhaps to highlight the client's own brand in a competitive landscape): 

This new feature is currently available for bar charts, column charts, donut charts, pie charts, semi-circle charts, stacked charts, and top/bottom charts. In the future, we aim to roll this out for other charts such as 'split-by' charts. 

Please note: Manual sorting can only be done after all other chart settings are applied (such as decimal points, text size, etc.) and after you’ve completed your preferred overall sorting (i.e. 123 order). 

To learn more, or to answer any questions about manual chart sorting, please reach out to your Customer Success representative.

There is a brand new chart type now available on our platform in the analyze section for Multi-Matrix questions. 

This chart creates a fifth charting option for multi-matrix questions, in addition to the existing bar, column, stacked bar, and stacked column charts. 

This new chart allows users to view the data in a 'profiling' option so that you can compare different values within a multi-matrix chart easier than ever before. Further, for questions where there is piping logic, we now have a conditional base (which is different from simply hiding 'n/a') that can be applied to the entire chart and with respect to each unique statement (not just one statement at a time). 

To learn more about how you can leverage this chart option, or to answer any questions you may have, please reach out to your Customer Success representative.

Our word cloud just got smarter thanks to recent improvements to our open-text analysis. 

With these feature improvements, the word cloud now automatically detects your respondent's language, corrects spelling errors, and merges similar words to get relevant insights even faster, without the need for manual adjustments. 

For example, automatic survey language detection means users no longer have to sift through results and remove meaningless words from the data set. 

And, by merging similar words (accounting for typos, or different tenses of the same word like 'studying' and 'studies'), respondents can count on the most accurate output to use in their analysis.

Once you've generated your word cloud output, users can even tailor this further by choosing to exclude certain words. Say for example you are a brand that sells chocolate. The word 'chocolate' will probably come up a lot in your word cloud, but it's not all that interesting for your analysis. By electing to remove this word, other sentiments such as 'delicious', 'expensive', or 'indulgent' will become more prominent. 

To learn more, or to answer any questions about these new open-text analysis features, please reach out to your Customer Success representative.

quantilope’s Insights Automation platform is growing...with the release of our latest advanced method offering: segmentation! This marks the 13th automated, advanced method available on quantilope’s platform, empowering our clients to define where to play, and how to win. 

A Need-based Approach: 

Our newly available segmentation method is based on consumer needs, rather than demographics, behavior, or psychographics (see graphic below). Need-based segmentation is considered the ‘gold standard’ in segmentation research. That’s because need-based segmentation allows clients to deeply understand the motives that impact future behavior, and/or areas to improve on. This sets up a foundation to develop a multitude of products that cater to different consumer segments and their true needs. 

quantilope’s ability to segment on consumer needs, yet still having the power to automatically profile the segments on demographic, behavioral, or psychographic data makes this an ‘all-inclusive’ approach to segmentation.

Easy to Use:
Segmentation, like all other advanced methods, can be added to a survey with a simple drag + drop. The method uses a MaxDiff to capture consumer responses to need statements, which are then analyzed through a series of sophisticated, machine learning algorithms on the backend.

Through the power and ease of automation, quantilope’s segmentation captures insights at a fraction of the time it takes with other vendors. It is intuitive in nature yet sophisticated in results, and provides guaranteed quality without risk of manual errors.

Potential Use Cases:
- Align communication/advertising strategies
- Test/prove qualitative personas
- Develop product/brand innovations
- Align brand/pricing strategies
...and so much more!

For more on quantilope’s automated segmentation, and the rest of our 12 advanced methods, check out our website’s method page.

quantilope implemented Auth0 to make the platform even more secure. The new updates are supporting user authentication and authorization.

In the course of this, there is also a new log-in page.
It only differs in design. All existing functionalities remain the same.

From now on you are also able to enable two-factor authentication (2FA) for your organization.

2FA provides a method to verify a user's identity by requiring them to provide two pieces of identifying information. This ensures that only valid users can access their accounts even if they use a username and password that may have been compromised from a different application.

If you have any questions about Auth0 or would like to enable two-factor authentication for your organization please reach out to your Customer Success representative.

You can now decide which survey and participant data you want to export when creating a raw data or SPSS export.

To do so, click on the export button as usual and select the desired export.

You then have the option to select the data you'd like to include in your export by selecting the corresponding boxes. Selection options may include participant status, tracking waves, and language/region, depending on the type of project.

Whenever you want to upload an image or video within your project, you will now find a more simple and clean file menu.

You can simply drag and drop your file to upload it or select the desired source of your file on the left side of the menu.

Source options include the upload of a file from your own device or google drive, entering a link (URL), or using the web search feature to find an image online.

After uploading your image, you have the possibility to further edit (crop, circle, or rotate) it.

You are now able to use words when adjusting formulas in addition to characters ("&&", "||", "!").

Simply type in "and", "or", or "not" according to the desired formula. After you're done, these operators will turn into colored badges, making it easy to capture the formula.

Additionally, you can quickly change the direction of an operator by clicking the colored badge (e.g. turn an "or" into an "and").

For now, these formula enhancements work for the customer variable setup. Other parts of the software (sample, routing conditions) will be adapted in the upcoming sprints.

In addition to the survey comments, you can now add general comments to better communicate with your team in the manage section.

While survey comments are directly linked to specific questions of your questionnaire, general comments can be used to communicate about general topics within your project.

By clicking Add New Topic you can create a new topic (e.g. next steps, quotas, reporting) and write comments directly related to the topic.

Click here to learn more about working collaboratively with quantilope.

You can now export your Insights Dashboard into a PDF by clicking Export.

The PDF-export can be used to

• save the Insights Dashboard externally and, for example, store it in an archive
• enable an offline presentation of your insights

We recommend selecting "Single Page View" within your PDF reader (in Adobe you will find this setting under View/Page Display/Single Page View).

With PREDICT LOI (length of interview) you can estimate the approximate length of your survey.

This gives you an idea of how long it will take respondents to answer your questionnaire, which is also useful for predicting the costs of the online panel.

After clicking PREDICT LOI, a small pop up window informs you about the average length of the survey as well as a range to cover different flows of your questionnaire (e.g. routing conditions).

The new language selection screen enables your participant to choose the language they want to take the survey in.

Benefits:

• reduces administrative effort during the fieldwork
• empowers you to reach a broader target group (e.g. in countries where several languages are spoken)
• enables you to share the link in places where you do not necessarily know the preferred language of the participants (e.g. social media)

How-to:

1. click language variations within the field section
2. enable Language selection screen
3. select the languages you would like to include to be displayed in the screen

You can now turn your comments into tasks.

Simply mark a comment as a 'to-do' and once the task has been completed, you can check it off.

Using 'to-do's' you can quickly go back to your project to make sure your team has completed all outstanding tasks.

In the middle of the manage section, you will now find the comment feed where you will see all of the comments that have been left in the survey editor.

With just one click you can filter the comment feed to see your own comments or the comments that you’re tagged in right at the top.

quantilope’s updated manage section will help facilitate collaboration with your team, enable you to manage project tasks and keep your project information all in one place.

On the right hand side you are now able to add information about the research background,  objective, target group, etc.

You can also add attachments to your projects, like images, project briefings, or any kind of additional material that could be helpful for you and your team.

In addition to your colleagues you can now also tag quantilope support in comments.

Your assigned research consultant will receive a notification and can help you even faster.

Sometimes one Insights Dashboard is just not enough! In multi-country projects, you may need an extra dashboard for a specific country. Or in tracking studies you might want to show insights from a single wave in its own dashboard.  

And with quantilope's latest update, you are now able to create several Dashboards per project.

By clicking Insights Dashboards in the submenu of Report, you will go to a overview of your Insights Dashboards. In the overview, you are also able to create new Dashboards, rename them, create sharable links, copy Dashboards or delete them.

If you are working on one Dashboard and then want to return to the overview page, simply click on "Overview".

You are now able to password protect your Insights Dashboards.

How it works:

1.) Go to the Insights Dashboard you want to protect and click on "Share"

2.) Select "Protect with Password"

3.) If required, edit the automatically set password

Once someone opens the shared link, they will be asked to enter the password in order to see the Insights Dashboard.

Finding the optimal product attributes within your conjoint has never been that easy!

The new Optimal Product Chart shows at a glance, which product configuration maximizes the respective outcome. Instead of clicking through all possible attribute levels to find the optimal one, this chart gives you these insight quickly and directly.

You can switch the outcome between Share of Preference and Revenue, to see which attribute levels are needed to optimize the respective outcome given your competition. 

You are now able to update previously uploaded imported variable files. 

Typical examples of imported variables include the import of coded open-ended responses or additional participant information, e.g. membership of a particular customer segment. Updating variables is particularly useful in tracking studies when imported variables need to be adjusted for new waves.

To update a variable, simply download the current file(s) within the "Data Import" section at "Variable File Exchange", update it and import it again.

For more detailed information about our Imported Variable visit the Support Center.

You can now tag your colleagues in comments when working together on projects. Address your comments to specific people by marking them with @name, facilitating targeted and efficient collaboration.

Colleagues receive an e-mail notification when they are mentioned. Clicking "Go to the comment!" will lead you directly to the corresponding comment.

If you do not want to receive e-mail notifications, you can deactivate them in your profile settings at any time.

To make the definition of samples even faster, you are now able to copy your already defined samples.

Simply click the copy button in the Sample Overview and a copy of the sample with all its defined conditions will appear underneath the existing ones. Afterwards you can rename the sample as usual. 

This is especially useful if you want to create several complex samples with almost similar conditions.

Our Single Association Test (SAT) is now also available for mobile devices. Participants completing a survey with an SAT can use their smartphones to complete the study, enabling brands to reach a wider target audience.

In the mobile view of the SAT, participants can indicate that a term "fits" or “does not fit” with a certain term (e.g. a category) by clicking in the left and right areas of the smartphone screen.

We implemented an even easier way to analyze your results by different samples.

In the optimized dropdown menu you can see an overview of the samples you’ve created with the corresponding sample size. You are also able to create a new sample or edit an existing sample with just one click.

In addition to the color setting per chart, you are now able to define your own color scheme in a project. With just a few clicks you can easily add corporate or product colors to your project and create an individualized visualization of your results.

After setting up the color scheme it will automatically be adopted for most of the charts within your project. The corresponding settings can be found in the Analyze section, next the Insights Settings menu.