Thursday, December 19, 2013

Feature Spotlight: Automated Reward Fulfillment

In today's feature spotlight we are going to highlight how you can take advantage of automated reward fulfillment. Using this fully integrated and automated service within Survey Analytics you can save a lot of time, resources, money and worries associated with being accurate and timely fulfilling community rewards. The points and rewards work seamlessly providing a "multi-channel" brand experience between both online and mobile communities. This opens up time to focus more on your data and deliver targeted content and draw more accurate conclusions. Why should you use rewards and incentives within a panel or community? Rewards and incentives open the door to two way brand communication. This helps build user engagement, motivate respondents knowing they receive goods for their time - and in the end it builds strong loyalty and retention. Customers enrolled in a loyalty program visit 2x more often and spend 4x more money! Retailers with a loyalty program are on average 88% more profitable than competitors who do not have programs. (Source: Fivestars)

Thursday, December 12, 2013

What Women Mean to Brands and Business: Now and in The Future

Today we tuned into a webinar titled "From Girls to Women: New Horizons in Market Research" hosted by Dana Stanley, VP of Market Research at FashionPlaytes and Kristin Luck, Founder of Women in Research (WIRe) and President at Decipher, Inc. The webinar was co-presented and begain with Kristin providing an overview of the impact women hold in brands, business and in the market research industry. Dana followed up with some new insights into tween girls and girls that are a part of the tech saavy and always connected Generation Z.  FashionPlaytes also shared how they are engaging with this hard to reach audience by using gamified elements of research both online and through a mobile application. Here are a couple of great insights we gained knowledge around from tuning in to today's webinar.

#1: True Brand Intelligence is Female Informed

  • 83% of consumer purchases are made by women
  • 51% of personal wealth in the US is held by women
  • Women are the primary decision maker for HH purchases
  • Majority of advertising targeted to women is still created by men
  • Female entrepreneurs are 15% more likely to be profitable, yet 50% less likely to get funding
  • Firms with 3 or more women higher up in top positions score higher than their peers
  • Greater diversity breeds more effective and profitable products and services
  • The market research industry suffers a lack of diversity
    • Less than 15% of the US Honomichl 50 companies are run by women (<1% globally)
    • Women in research make on average 20K less than their male counterparts

#2 Mobile Engagement is the Key Moving Forward

Much of Generation Z does not possess their own e-mail address. Those that do have e-mail address do not check them very frequently. As this generation begins to grow their social profile, we need to adapt to their preferred methods of communication. Parents of "FPgirls" are required to give their consent for their tween girls to use the mobile app and for FashionPlaytes to gain higher levels of detail in their research. The connected generation expects a two way dialogue of communication from brands. Generation Z is accustomed to touch, highly opinionated and there is a smaller window than ever before for capturing their attention. It's not just old school research and surveys anymore - it's finding fun ways to engage and letting the voices be heard through mobile and connected channels. 

FashionPlaytes "Club Z"

FashionPlaytes knows their audience well and they know the things they want. Aside from surveys, there are quick polls, forum boards and areas where girls can get tips on style, school, fitting in and more. The FashionPlaytes app will incorporate a unified rewards system that incorporates both research and non-research activities. Some examples of prizes given are back to school fun packs, iPad minis, and last but not least One Direction "1D" goodies. Notifications to take surveys and quick polls are going to be seen throughout the site and through push notifications on the mobile app (currently in development). Kristin Luck capped off the webinar reviewing how important mobile is becoming in market research and if you haven't already - learn how you are going to integrate mobile for 2014.

#3 Tween Girls LOVE Google!

Tween Girls on Facebook?

  • 38% Thats for my parents
  • 18% Love it!
  • 18% Like it
  • 21% Heard of it, but don't know much
  • 6% Don't know anything about it

Tweens and their thoughts on Google

  • 69% Love it
  • 26% Like it
  • 4%  Heard of it, but don't know much
  • 3%  Don't know anything about it

Tween Standpoints on Skype

  • 5% That's for my Parents
  • 30% Love it
  • 23% Like it
  • 21% Heard of it, but don't know much 
  • 22% Don't know anything about it

Wednesday, December 11, 2013

Amazon, Facebook and Google Chrome Among the Top Running Apps on Black Friday 2013

This Black Friday we used our powerful smartphone survey/research platform SurveySwipe to collect passive data while shoppers completed our mobile survey. Passive data collection is collected through a mobile application and runs in the background with the users consent. Data is collected from Smartphone sensors helping you analyze how people are using Smartphones in real life scenarios. The data is collected ongoing based on the triggers and variables you set to collect. Some of the variables that can be collected through passive data include: accelerometer, GPS (location tracking), app census, app usage, battery life, memory, 3G/4G network connection, wifi connections, disk space, gyroscope, IP addresses, retina display, SSID and operating systems. By collecting apps running and operating system variables we were able to conclude the following items from our passive data collection study. 

#1: Apps Running While Our Survey Was Being Taken on Black Friday 2013

Amazon, Facebook and Google Chrome were among the top applications running while respondents completed our Black Friday 2013 survey on the SurveySwipe mobile application. Being Black Friday, it was interesting to see that Amazon was among the highest running application (11%) at the time of the survey being taken. Just behind were Facebook (9%) and Google Chrome (9%). We can assume that users were shopping on Amazon for deals and comparing prices throughout their Black Friday shopping experience. IBM's Benchmark featured on TechCrunch concluded Black Friday 2013 online sales were up 20% and that 25% of online traffic on Black Friday was contributed from Smartphones. As we all know, many of us close our mobile apps when we are not using them. Apps that track your location or send frequent updates and push notifications have been deemed notorious for draining the users battery life. At a larger scale of data collection and triggers being set to collect passive data more frequently, these numbers could very well increase. 

#2: Respondents Operating Systems From Our Black Friday 2013 Survey

From the chart above, we were able to conclude that 82% of mobile survey respondents were using an Android Operating System while only 18% of survey takers were running iOS. On the chart, 8-19 are Android OS indicators and 612-704 are iOS indicators. Android 16 (29%) was the most widely used OS, followed by Android 15 (16%) and iOS version 7.0.4 (10%). Knowing the operating systems is important to know areas where you may be falling short. For instance in the next study we perform, we will want to find a way to recruit more iOS users to download the application and complete our mobile survey. Measuring the operating system is also a great way of measuring retention and engagement with our audience based on their operating system. Over time measuring the operating system values you can begin to answer questions such as:Are Android users more likely to return to complete future surveys? Are iOS users harder to engage or more likely to delete the application and taper off?

Learn More About Passive Data Collection

Check out the replay of an educational webinar presented by Survey Analytics CEO Andrew Jeavons titled "How to Collect Passive Data from Smartphone Users." The webinar provides an overview of passive data collection and the variables (data points) that can be collected from Smartphones. Great use case scenarios in multiple industries are covered as well as the concerns about security and privacy from this data being captured. Passive data can be collected through the SurveySwipe application, through a white-labeled SurveySwipe app or within your own existing application through API/SDK. Implementation methods, reporting and the business decisions that can be concluded from this data are also covered in the webinar. 

Thursday, December 5, 2013

Conjoint Analysis and MaxDiff Webinar Q&A

We would like to again thank everyone who signed up for our webinar that aired on Wednesday, December 4th, 2013 at 1PM Eastern titled "How to Use Conjoint and MaxDiff to Put Your Best Product Forward." Close to 600 marketers and market research professionals signed up and nearly 200 joined us for the live broadcast. There were many questions from our audience that we did not have the opportunity to answer in the end when we ran out of time.

Survey Analytics VP of Client Services Esther LaVielle took a moment yesterday afternoon to answer questions we did not have the opportunity to get to. Thanks again to everyone that joined us! If you missed out on this presentation, you can access the replay here.

Q1: What all checks are available in Data Validation? 

Esther: In terms of data validation for both the Conjoint and Maxdiff after a study has been concluded you will be able to access both an online report as well as all of the raw data. You will be able to see what’s been displayed and what was picked and draw your own conclusion if needed.

If you are speaking of validation requirements prior to deploying a survey you can access our survey overview page which highlights any errors in logic skip patterns prior to deployment. The best thing I would recommend is to run a test among your team and also colleagues who are not familiar with conjoint to solicit feedback on the user experience to give you time to clearly define any features or attributes you are using for either question type. All test data can be deleted prior to deployment and will not influence your final results.

Q2: Which is more beneficial - Conjoint or Maxdiff? 

Esther: My personal opinion is that all questions, even conjoint and maxdiff, are beneficial so long as people can clearly understand and answer it promptly. Each question type is unique in it’s data output so it would depend on what your end goal of your project is. Are you looking to figure out what new products or services to sell at certain in 2014? Then Choice based conjoint would be a good fit. Maxdiff, on the other hand, can be applied to many areas of research including brand preference, customer satisfaction, product or service features, and even message or image testing. The good thing about Maxdiff is that the list of items you want to present to the respondent does not.

Q3: Can we create conjoint in Survey Analytics and call it in mail survey in confirmit? 

Esther: We offer survey URL links and where you post them is on your own discretion, however, we do not integrate with competitor software. You should be able to have the capability to run a comprehensive survey directly in our platform if required.

Q4: Hello - I missed the beginning of this, I'm sorry. WIll this be more about the application of Conjoint and max diff, or about how to set them up technically speaking?

Esther: Yes, towards the end of the presentation recording at about 40 min in, you will see a demonstration of how to set up both question types in our system. If you would like to run an evaluation on our site, please feel free to sign up for an evaluation license here:

Q5: Output from the simulators is preference share, not truly market share. Does the model make assumptions (or does user have a choice) to get from preference share to a truer estimate of actual market share? 

Esther: We use the term market share as an estimator based on the data that’s been collected. In this case the term preference share can be interchangeable as you are simulating the idea of showing particular profiles to the respondents and based on what they’ve answered we have the output. If you are speaking about the true definition of market share then using an estimation tool based on the data received will not achieve this. Definite spot-on accuracy of market share is not possible. If anything it will give you an idea of potentiality within the market space of the product/services in consideration. •

Q6: When should you use MaxDiff v Discrete Choice? 

Esther: You should use conjoint analysis if you are looking to gather information on potential market share of new or existing products/services you are looking to make money on. It’s been used as part of a pricing research strategy as well as test new ideas prior to determine if investment and resources should be poured into it. Maxdiff can be used a part of many different types of research to determine preferences among your attribute list. You can use it in customer satisfaction studies, brand awareness, product or service, or message/image testing. Anytime you are faced with big rating scale you should ask yourself if possibly using a maxdiff question type would give you insights that you may potentially miss with standard questions.

Q7: What is the pricing model.. Is it an annual license? 

Esther: We offer monthly and annual licenses here at Survey Analytics. Please feel free to reach out to our sales team to get you started with an evaluation license or discuss pricing. Phone: 1-800-326-5570

Q8: Does your platform integrate with Confirmit and Qualtrics?

Esther: We do not integrate with competitor software. You can easily create and deploy a comprehensive survey to be deployed across all channels within Survey Analytics. We have a free trial available if you would like to further explore the tool and what it offers:

Q9: How do you define "homogenous" for d-optimize? 

Esther: We use the Merriam-Webster definition.

Q10: Can you do a market share simulation with MaxDiff?

Esther: For conjoint, yes we can, but for Maxdiff that is not typically done. However it’s a great idea and something I can speak to my head developer and operations manager on. If you would like to send us more information as to why you think this would be valuable to add please contact me directly at It would be great to speak to you about it.

Q11: What is your experience in terms of the % of people who are invited that will actually participate?

Esther: Well, in any research project we know that about 50% of your budget is allocated to recruitment, sample finding, accessing and managing a database of willing participants, and incentives. The better you are at managing the respondents who fully understand what is asked of them, and the more clear and concise the survey is, then the higher the response rates. Other things like incentives, timing of survey deployment, survey topic, follow up reminders, and etc. will affect your response rates as well.

If you are interested in conjoint and maxdiff in Survey Analytics specifically I will give you a few tips that can help:

  1. Make sure your features and levels are clear and easy to understand and in the language of your target respondents. For maxdiff, make sure the attributes are easy to understand and if you need, limit the number shown per page.
  2. Set up definitions, photos, instructions, and tips within the conjoint or maxdiff or prior to getting to the conjoint so they know what is expected of them. 
  3. Too man conjoint exercises will result in respondent fatigue and will skew your end results. Make sure to keep it as concise as possible. If you are using Doptimal design and it says to run a larger task count, make sure you are clear with the respondent how many you questions you must run by them, and let them know the incentive is directly correlated to their responses for these questions. 
  4. Target consumers who WANT to take this kind of survey. Pre-screen if necessary. 
  5. Use all follow up tools to remind those who have not completed to take the survey. Survey Analytics offers a reminder scheduler that you can set up ahead of time with a message targeting those who need to complete the survey.

Thursday, November 21, 2013

6 Ways to Justify the Costs of Starting Your Own Panel


Creating and managing your own panel community and online portal doesn't have to be wishful thinking or too difficult to justify to other departments in your business or organization. If you are already conducting research projects, you may be spending a lot of resources time and too much money in areas where you could apply to doing it yourself in house. The budget needed per research project for managing sample/recruitment/rewards through outside vendors and 3rd party companies can be as much as $15,000 (Source: Rudly Raphael, President at qSample).

Having and managing a panel can provide your business or organization with a quick turnaround to address consumer perceptions and feedback. There is a great value from staying connected with your audience and the insights you gain help make better decisions and build better products and services moving forward. This proprietary information influences the direction of future research and development.

Having a well thought out plan and goals are important when justifying to others in your business why you should start a panel. Communicating what your business or organization will receive in return for the initial investment is often the most difficult part of planning. Taking on a panel solution can cost a lot of money and take a lot of time. It can also take a long time to migrate from old research processes to new. Everyone needs a way to justify the value of any business investment. How is panel going to effect your company in terms of cost?

6 Ways to Justify the Costs of Starting Your Own Panel

#1 View and analyze all of the investments in your business by answering the following questions:

  • Who are your employees?
  • Where is your headquarters?
  • Are your current projects successful?
  • Are there areas where you can improve current processes?
  • Is your business keeping current with advancing technology?
  • How will this change the overhead or bottom line?

#2 Prioritize initiatives and allocate funding based on the value for the department and company

A company that values research and development first can pitch the idea of panel much easier than a company that values sales first over research. It all depends on the hierarchy of the organization. Think how panel will help all departments moving forward and reshape the way you pitch the solution.

#3 Will this be a better decision sooner or later? Will this add to the bottom line?

Panel implementation has saved many of our clients a lot of time and money. Our clients using panel have reported being able to access data 2x faster and 10x cheaper than previous research methods over long term use. They also have the ability to gain immediate feedback on pressing issues.

#4 Predict the impact of changes and eliminate unneeded costs

Anytime you are implementing a new technology, do you need to layoff people? do you need to hire new people? do you need to move people around? is there old technology that is slowing the company down that you need to upgrade? These are all things to think about when implementing a panel solution. You can reduce a lot of waste and redundancy by managing everything in one place.

#5 Increase utilization levels of current systems and resources

A lot of times when we speak to clients they feel stuck. It is important to make sure you are getting the full value of the tool you are using. What does your current provider have and what can you utilize more? Are your current systems and resources able to roll out your wishes moving forward? Is your research moving forward with emerging technology trends?

#6 Balance value with possible risk

When you are taking on a panel, it can be a high risk. On the other hand, you have high rewards when you look at the end goal and big picture. Having a very clear and concise strategy will bring high rewards and payoff immensely.

“Panels are an ideal solution for companies whose customers are engaged in social media. In industries where your products are perceived as a commodity, panels are a standout way to differentiate.
If you can manage an online survey or your Facebook profile - you can manage a panel. It's as easy as clicking through a few profile selections, sending an email and that's it.”
Quote: Ivana Taylor (DIY Marketers

Monday, November 18, 2013

The Survey Results Are In: Are You Shopping This Black Friday?

Pictured above are the survey results from a short survey we conducted this November asking the general population if they plan to shop this Black Friday. The holiday shopping season is already well underway for many retailers. Many stores have already switched to the holiday soundtracks, and many people are seeking Black Friday deals and making Black Friday 2013 predictions. 

This Black Friday we will be conducting a mobile shopping survey in partnership with qSample and Ipsos. The Black Friday Shopping survey is being conducted through the SurveySwipe Smartphone survey app. A very short brief survey conducted prior to the study received 900 unique respondent completes. Of the 900 respondents, 620 (69%)  of them plan to go out shopping this Black Friday. Nearly 600 of the respondents that plan to shop on Black Friday will be participating in our mobile shopping survey for a small reward.

The other respondents do not plan to shop this Black Friday for these reasons:

  • 123 respondents do not shop on Black Friday because they do not like the crowds
  • 53 respondents are not going to shop on Black Friday because they have to work
  • 45 respondents think the deals on Black Friday are not worth it
  • 28 respondents will not shop this Black Friday because they plan to shop online 
In our Black Friday mobile shopping survey, users will be downloading the SurveySwipe app and completing a survey from their Smartphones. After completing the survey, users will receive a reward to thank them for their time and participation. Using our powerful mobile platform we have the ability to connect in real time with consumers as they shop on Black Friday. We will be asking participants to complete a survey and we will also be collecting passive data from their Smartphones.

Some of the breakthrough forms of data we will be collecting include:

  • App Usage (What Apps Smartphone Users Have Running this Black Friday)
  • Location (Moving/Shopping Travel Patterns Throughout the Day)
  • Images (Users Will Snap or Upload Images of Items Purchased on Black Friday)
  • Device Information (The Devices and Operating Systems Being Used to Take the Survey)

Mobile plays a big factor into holiday shopping for 2013. This recent infographic pictured below found on the Tapjoy Blog shows survey results of holiday shopping habits of mobile consumers. We will post the results from our Black Friday mobile shopping survey over Thanksgiving weekend.

Friday, November 15, 2013

Education Hour: New Mobile Features in Survey Analytics

In October Survey Analytics VP of Client Services Esther LaVielle presented a special Education Hour on some of the new mobile tools and featuresIn this presentation you will see some of the powerful and newer mobile features for SurveyPocket and SurveySwipe. This education hour goes over mobile research capabilities and is followed by a live demonstration of how you can enable these features today.

SurveyPocket Education Topics:

  • View Incomplete Surveys and Go Back and Complete Them in SurveyPocket
  • Send Push Notifications to the Team in the Field
  • Mobile Data Visualization Dashboards in SurveyPocket
  • SurveyPocket Help Videos
  • Custom Themes - Set Your Own Font and Background Colors or Background Images

SurveySwipe Education Topics: 

  • SurveySwipe White Labeled Apps
  • Online and Mobile Panel Recruitment Portals
  • The SurveySwipe Software Development Kit

Monday, November 4, 2013

Feature Spotlight: Data Segmentation

In Survey Analytics, data segmentation is simple. Today's feature spotlight demonstrates how you can save hours of time when drilling down and performing data segmentation right in your account. Traditional and still very common ways of segmenting data require you to export it and perform a series of very time consuming filters in Excel with a .csv file. Our data segmentation tool not only makes it simple to set data filters, but it is simple to export the data you need into raw data, Excel, Word or PowerPoint formats. You can also view the filtered results in interactive real-time summaries or custom dashboard views. Data filters in Survey Analytics range from from time based criteria, custom variables/system variables, geolocation, language,  e-mail list and more. The data filters can also be refreshed and in real time will show the updated information.

Data Segmentation Helps Face the Following Challenges:

  • Understand your survey response sources
  • Define market segmentation 
  • Draw more accurate conclusions
  • Combine multiple surveys into one
  • Filter data quickly and painlessly
  • Deliver targeted solutions and communication

Another popular method for defining a data source is by running cross tabulations. You may be asking yourself - what's the difference between data segmentation and running cross tabulations? In cross tabs you are only looking at specific questions from specific sources of answers (i.e. display answers from x value in question x only -or display answers from people age 30 and under as answered in question number two). Cross tabulations are simple and fast but are not designed for filtering multiple data sources. Data segmentation is much more powerful and customizable showing you only the data you specify (i.e. you can see data that comes from x location at x time with x value defined - or display answers from California between 12PM - 4PM PST on this date from people that are under 30 as answered in question number two and make over 50K salary annually as answered in question number three). Watch a short video tutorial of how you can segment your data presented by Survey Analytics VP of Client Services Esther LaVielle below:

Tuesday, October 29, 2013

Meet the Dogs of Survey Analytics

Enough with our faces and the traditional business headshots - it's time for you to meet the adorable
dogs of Survey Analytics that keep our stress levels down as we are working hard to provide our dedicated and great service through a very busy time of the year. Last Friday afternoon - we had an update with our very dedicated and talented Tech Leader Shrikant Shinde who works in the Pune, India Survey Analytics Development Center via GoToMeeting. Shrikant had stayed up very late on a Friday night to meet with all of us. We all turned on our cameras briefly to spend some quality time with our very talented developer and showed him all of the pet dogs of the Survey Analytics family. We loved his reaction to us all having pets working alongside us.

It was nice to show the very unique corporate culture at Survey Analytics in the US to Shrikant. He is going to be briefly visiting us for the first time and coming to our Holiday Party. Survey Analytics Chief Growth Officer John Johnson captured a screenshot of all of the dogs on screen in our GoToMeeting and we shared it. GoToMeeting even gave us a shoutout back and shared the picture to their very large base of followers on Twitter. It was nice to see engagement from people and brands we normally wouldn't simply because we have a common ground for loving our pets.

Meet The Dogs of Survey Analytics in Cincinnati, OH and Seattle, WA

Cooper LaVielle loves Survey Analytics and hangs in Portland with VP of Client Services Esther LaVielle

Senior Software Consultant Nicole Price presents Dutchess Price

Software Consultant Nick Ruck brings his dog to the Cincinnati office very often! We <3 Mick Ruck

CEO Andrew Jeavons and his dog Nicky

Software Consultant Anthony Pavel shows off Sampson and Bruno Pavel 

Software Sales Manager Gretchen Lohman presents Harley Bean Lohman

Wednesday, October 23, 2013

[WEBINAR] How to Collect Feedback via Your Mobile Application

Join Survey Analytics on Thursday, November 7th, 2013 at 1PM EST/10AM PST for a special presentation on "How to Collect Feedback via Your Mobile Application." Even if you can't make it for the live presentation, sign up anyways and we will send you a copy of the video and slides following the presentation. A replay will also be available right here on this blog post.

The Opportunity for Mobile Apps 

Just five years ago Apple started the mobile app era that has now become a $25 billion industry. In a saturated app marketplace - it is increasingly important to do your research and be able to provide a strong value to retain your mobile app users. Did you know that only 7% of businesses have a mobile app? (Source: Econsultancy)

There is a large opportunity to engage with consumers through mobile applications like we were not able to before. When thinking of your mobile marketing strategy - incorporate the thought of apps, not just ads. Having a mobile application saves money and is more effective as a communication channel than mobile ads are. Users spend, on average, 82% of their mobile minutes with apps and just 18% with web browsers. (Source: Harvard Business Review).

Put Yourself in The Consumers Shoes

When browsing for apps, consumers want to know what's in it for them. With over 1,000,000 apps to choose from - why would they want to use yours? Like mentioned earlier, only 7% of businesses have apps on the market today. Of those businesses that have apps - many experience a pain point when it comes to getting more app downloads, finding active users that will spread the word vs. those who just flat out delete the app after just one use. Have you ever thought - maybe it's not them, maybe its the app? Your app is an opportunity to create long-term engagement from consumers to your brand.

If you already have an existing mobile app, ask yourself the following 10 questions:

  1. Do you understand how and why users choose and use apps?
  2. Do you know who is using your app and what their general interests are?
  3. What unique value does your app provide for the user?
  4. Do you tailor your application features to its users?
  5. Do you collect any feedback from your mobile app?
  6. Does your app not only incorporate but encourage social sharing?
  7. Do you send push notifications through your app to its users?
  8. Do you conduct surveys through your mobile application?
  9. Do you offer incentives, prizes, giveaways, points or rewards to app users?
  10. What makes your app different and how are you going to publicize that information?

Webinar Overview

If you already have an existing mobile app or wish to develop one soon, you don't want to miss out on this presentation. Smartphones are powerful and there are many areas where businesses can take more advantage of what information can be collected from them. In this webinar, you will learn not only tactics for engaging your mobile app users, but other forms of data can be collected right through your mobile app when it is running on a users phone. Technical specifications and how to collect this information will also be provided. 

Here's the Agenda:

  • The Future of Smartphones and Mobile Apps 
  • How to Drive Engagement Through Mobile Apps 
  • How to Listen To Your Mobile App Users 
  • What Data You Can Collect Through Your Mobile App 
  • Case Studies and Conclusions 
  • Live Q&A Session

Friday, October 18, 2013

Feature Spotlight: MaxDiff Scaling

Today's Survey Analytics Feature Spotlight is focusing on MaxDiff scaling (AKA Best/Worst Scaling) and the tools offered in Survey Analytics that make it simple to collect preference data. Using MaxDiff scaling in surveys allows you to conclude what the most and least preferred items are. MaxDiff scaling is easier for respondents to answer and is highly preferred over basic rating scales when needing to collect a lot of preference data.

What are the benefits of using MaxDiff Scaling? Using this feature, you gain more quantifiable data and put less fatigue on your survey respondents! Alongside from being user friendly and visually appealing in your survey, you can ask 15-20 sequences of MaxDiff questions and they are simple for the respondent to answer. This is simply because you are asking what is your "most preferred" and "least preferred" from a defined set of values.  MaxDiff preference data is measured on a scale of 100% or a 100 point scale making your data more quantifiable and easier to analyze. What about Reporting? Using Survey Analytics, you can see each end of the preference spectrum in tables and overall percentage numbers in visually appealing pie charts.

Scroll through the presentation below to learn more about MaxDiff Scaling, how you can define the attributes, incorporate images and how to analyze the data you have collected. View a live presentation of a survey with MaxDiff scaling incorporated here:

Monday, October 7, 2013

Research on Research: Mobile vs. Online

Access the Whitepaper
This research-on-research study by qSample President Rudly Raphael and SVP of MAi Research Bruce McCleary compares how research on Smartphones differs from data collected through general online sources. The white paper presents a study to each group on chewing gum preferences and closes with a recommendation on the usage and appropriateness of mobile research data collected via Smartphones.

Mobile technology is growing fast and revolutionizing the way society communicates in conducting business. Many businesses and organizations all over the world have jumped on the mobile bandwagon and mobile is noticeably here to stay. Traditional advertising from TV, radio and print has been on a steady decline since new digital service platforms have become available.

Although Smartphones are taking off, they do not yet represent the world population as a whole. Many mobile users around the world do not have newer phones, data plans or the ability to participate in research through Smartphones. For instance, only about 60% of mobile phones in the U.S. are Smartphones with data plans. However, being able to access the Internet is nearly universal.

How does the mobile vs. online sample match up in the results?

Monday, September 23, 2013

Client Showcase: University of Wisconsin Department of Population Health Sciences

This year at The University of Wisconsin, the Department of Population Health Sciences is encouraging students, faculty and staff to download a smartphone application to report flu symptoms. The initiative is called OutSmart Flu and the mobile app is now available on Google Play and the App Store. Students will begin seeing promotions and volunteers around campus encouraging them to participate. With this experiment, flu outbreaks can be closely monitored in real-time and brought to attention quicker than before. The experiment incorporates mobile technology, crowdsourcing and social sharing. From the data collected through the application, the Department of Population Health Sciences will have access to real-time flu activity. Reports of flu activity at UW Madison will be shared with the community in hopes that people will take more preventative measures and stay healthy.

The flu epidemic is something that happens every year. Between September and May with a peak in the colder winter months, many people in the US are at risk of catching the flu. In more crowded and enclosed places such as a college campus, it can be a lot harder to avoid catching the flu. Students that catch the flu are likely to miss a few classes, possibly exams and other important parts of life on campus. What if there was a way to have an early detection of the flu on a college campus? Knowing the flu is going around a place such as a college campus may encourage more people involved with the institution to get a flu vaccine, wash their hands more frequently and get more rest. 

Up until now at The University of Wisconsin, flu activity on campus has been monitored by University Health Sciences and the U.S. Center for Disease Control and Prevention (CDC). The flu is monitored by the campus clinic reporting when students come in with flu-like symptoms. In 2010, Google released that they could detect flu outbreaks two weeks sooner than the CDC due to many people searching their symptoms and potential illnesses online prior to visiting a doctor.

Led by University of Wisconsin Associate Professor in Public Health Sciences Dr. Ajay Sethi and doctoral student Christine Muganda, OutSmart Flu will compare how crowdsourcing and a mobile app measures against traditional flu surveillance methods. Students, faculty and staff that download the app and participate in the experiment will be entered to win $500 raffles three times throughout the flu season. The experiment has been able to come to life using a white-labeled SurveySwipe mobile application from Survey Analytics and a grant from the Robert Wood Johnson Foundation.

From Dr. Ajay Sethi: 
Dr. Ajay Sethi of UW Madison
"Our Survey Analytics Account Manager Greg Bender has been great and just like a personal consultant. He has rather quickly customized a lot of things to make the platform meet our exact needs for this project. With OutSmart Flu, we wanted to create an app that allows students to report that they aren't feeling well — data which we process and provide back to students in near-real time. If you have a cold and someone comes up to you to shake your hand, you might altruistically say, ' Sorry, you don't want to touch me; I've got some sort of bug.' Well, with OutSmart Flu, we are giving students a chance to alert their peers that they might have something that's going around."

Stay tuned for more details, an official press release and check back for more OutSmart Flu updates throughout the 2013-14 UW Madison school year.