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. 

Monday, September 16, 2013

Feature Spotlight: Simple Branching and Skip Logic Setup

Branching and skip logic is a very important feature when designing a survey. Skip logic is a feature in Survey Analytics that defines what question will display next based on what answer is selected in the current question. This feature creates a custom path through the survey and is defined by the branching and skip logic tules that you set. This creates personalization and tailors the survey questions that appear to the answers your respondents previously selected. Using Survey Analytics, you can easily and quickly setup branching and skip logic to personalize your surveys. Using branching and skip logic also gives you a more narrow and defined data set to further analyze your research.

For example, if you are conducting a survey on married life - it would not make sense to ask these questions to people who are not married. Using branching and skio logic, you can easily set which questions you would like to display next based on if someone selects they are married or not.

To setup branching and skip logic,  add a multiple choice question and define the possible answers. Click the Add/Update Logic button that has an illustrated tree on it.

Next, select branching/skip logic (the first option) and click setup logic to continue to define your skip pattern values.

For each answer value in your multiple choice question, define where you would like to go next if that answer is selected. You can easily see the columns above for reference - (Answer Options and If Selected, Jump to). When you are finished setting the rules, click update branching information.

Survey Example

In support of Survey Analytics being at Drinktec 2013 in Munich, we are taking a survey on caffeinated beverage preferences. This survey has basic branching and skip logic setup based on what you define as your preferred drink (coffee, energy drinks or tea). Each answer selection has a defined set of questions to appear next. Take the survey here.

Tuesday, September 10, 2013

Feature Spotlight: New Ways to View Survey Response Counts

Alongside from survey responses, completion rates, drop outs, views, and total time spent taking the survey - have you ever wanted to quickly see analytics of where all of your survey responses were coming from? When you send out a large survey project, it can take a lot of time to calculate the stats to really know where in the world your responses are coming from. Are you wondering how many of your surveys are being completed on smartphones, tablets, laptops and more? Would you like to know what browser is most commonly used for your survey responses? These are all very important factors that many people would like to measure in order to optimize survey design and functionality.

Today's feature spotlight is focusing on cool new ways to view survey response counts in your Survey Analytics Reporting Dashboard. Now you can easily view survey response counts by country on a world map, as well as view devices, browsers and operating systems. The devices, browsers and operating systems are displayed in visually friendly, presentation ready pie graphs. Now you can analyze this information and optimize your surveys to your respondents. Make sure they are friendly on popular mobile devices, and make sure the surveys are available in the appropriate languages for the countries in which you are getting the highest response rates.

The general reporting dashboard gives you an overview of survey views, starts, completions, drop outs, completion rate percentage and average time spent in a very visually striking way. Now on top of these statistics, you can see the response country by country, browsers, devices and operating systems in the reporting dashboard. 

To get there, first select the survey you would like to see results from. Then, select Reports in the main navigation, or type in the hot key shortcut r. Once in reports, in the left hand side panel navigation select Dashboard and your results will display. 

View responses on a world map in interactive mode. Hover over countries to see response counts and also go by the color chart key found on the lower left of the world map.

Responses by browser type tells you the percentages of survey completions per browser in a pie chart such as Chrome, Internet Explorer, Firefox, Safari, Opera - etc.

Also view response percentages by devices and operating systems to measure how many surveys are taken on mobile devices such as smartphones and tablets vs. computers. 

Last but most certainly not least, these cool new charts in your reporting dashboard are ready for your presentations! Simply click on the icon in the upper right hand corner near each chart to print, download as a png, jpg or svg vector image - or get the chart in a PDF document.

Learn about using the right tools, methodologies and current trends to measure the employee engagement correctly and effectively in Survey Analytics’ FREE Webinar “Employee Engagement: Measure to Succeed,” on Thursday, March 5th. Click here to register.

Monday, September 9, 2013

(INFOGRAPHIC) Listen Now and Avoid Mistakes Later

What we stand for at Survey Analytics: The four tiers of our logo are for Surveys, Mobile, Panel and Analytics. We provide the DIY tools that are deploying research projects and enabling businesses to listen all over the world. Check out our new infographic and learn more about the capabilities of our software and how it all works together to become a multi-channel powerful research tool.