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DataCracker and SurveyMonkey Combine Powers with New Integration

We are excited to announce that we have now integrated DataCracker with SurveyMonkey. This means that it is easy to use DataCracker to analyze your SurveyMonkey data.

SurveyMonkey is the world’s largest online survey tool. They help millions of users create and publish online surveys in minutes. Creating and sharing surveys is a breeze in SurveyMonkey. Until now though powerful and automated statistical analysis and the creation of insightful charts, tables and word clouds was not easy to do.

With the joint capabilities of SurveyMonkey and DataCracker you will be able to dig deeper into your data and share the hidden insights from your survey responses via automated reports.

When you connect DataCracker to SurveyMonkey you will be able to:

  • Seamlessly import your SurveyMonkey surveys into DataCracker:  Find the hidden insights in your data.
  • Identify statistically interesting results: Automatically highlighted with colours and arrows.
  • Create tables and charts that are summarized in words you can understand: So you don’t have to be a stats guru to work out what the data means.
  • Chop and change your data: For example, simply drag the “Age” categories of “Under 18” and “18-24” together to make a “Young” segment.

Want to see how it works? Check out our how-to video below as we walk you through the steps.

Sign up for your free DataCracker account to get started

You can leave us any feedback you have in the comments below.

Any questions? Ask us!

A Quick DataCracker Predictive Tree Tutorial

Welcome back to our tutorial video series. In this video, we’ll show you how to use one of DataCracker’s advanced data analysis tools – Predictive Modelling (or Predictive Tree).

A predictive tree, or decision tree, is a visual model that shows how some input data predicts the value of target data. For example, a predictive tree could show that age and gender can predict the value of attitude data.

A series of charts will be displayed in a tree format, showing how the chart values (the target data) change according to the input data.

Check out our blog post Implementing the 80:20 Rule with Predictive Modeling for more information on how you can use Predictive Modelling for your business.

Having more questions on how to dig deeper into your survey results? Visit our DataCracker Knowledge Base or leave your questions in the comments below.

 

A Quick DataCracker Segmentation Tutorial

In this video, we’ll show you how to use one of DataCracker’s advanced data analysis tools – Segmentation.

What does it do? Segmentation will help you identify whether there are different groups of people in your customer base and how each group differs from others.

Why do you need to know? There are many reasons why you should segment your customers – focusing your resources, re-packaging your product/service offer and developing more effective marketing campaigns to name a few.

Check out our blog post Speak Your Customer’s Language: How You Can Use Segmentation to Create Effective Customer Profiling for more information on how you can utilize segmentation to be a smarter marketer.

Don’t forget to check back here for even more useful tips on analyzing survey data.

Having more questions on how to dig deeper into your survey results? Visit our DataCracker Knowledge Base or leave your questions in the comments below.

How To Increase Your Conversions By Asking Good Survey Questions

Businessman holding digital tablet with questionmarkYou might have built up a healthy list of customers or you may be  you have a growing list of email subscribers that are yet to convert to paying customer. So what types of questions should you be putting to these groups to help increase conversions?

“We have two ears and one mouth so we can listen twice as much as you speak”. This quote from Stoic philosopher Epictetus has always stuck with me. It is a powerful reminder for the need to listen to what our customers want. Rather than just assuming we know the answers and telling them what they want we should instead ask questions and listen to their responses. [Read more…]

Overcoming the Challenges that Come with Conducting Online Surveys

Conducting Online SurveysSetting up your online survey and collecting data seems easy enough, right? This can be true with an increasing amount of online survey tools at your disposal. Software like SurveyMonkey and DataCracker have taken the pain out of data collection and analysis. Although it is simple enough to create some survey questions and ask people to complete a survey there are also some hidden challenges that need to be overcome.

How do you attract meaningful and honest responses? Have you considered the way that your questions will be interpreted? Have you thought about the problem of predicting behaviors? These are just a few of the challenges that you will need to consider if you intend to uncover real insights that you can use. [Read more…]

How Many False Discoveries Have You Made? Putting Rigor Into Stat Testing

How Many False Discoveries Have You Made? Putting Rigor Into Stat TestingIf you look hard enough, surveys are filled with “insights”. There are always differences that could be interesting.  Men may like your product more than women.  Older people may buy your product less frequently.  Awareness may lift when you rejig your website.

The challenge with analyzing surveys is that many things that look like insights are probably wrong.  Statistical testing has been developed for just this problem.  The purpose of a “stat test” is to work out if a result in a survey that seems to be interesting is likely to be a one-off fluke, or, is a true insight. [Read more…]

You’re not still using cluster analysis are you? Do you wear a seatbelt when you drive?

Some short cuts are good. A faster way to drive to work. A delicious meal in five minutes.

You’re not still using cluster analysis are you? Do you wear a seatbelt when you drive?Some short cuts are bad. Driving without a seat belt. Failing to proof read. Cluster analysis. Yep. You read it right. Cluster analysis. [Read more…]

The Almost $64 Question: Road-testing Google Consumer Surveys and Toluna QuickSurveys

In the olden days – and by “olden” I mean the last century – it was expensive to conduct market research. Even if you only asked a single question you were generally looking at spending at least $1,500. Today, you can ask a single question, and get a heap of profiling data, for around $100.  And, you get your results much faster.

The almost $64 question Survey Analyzer: road-testing Google Consumer Surveys and Toluna QuickSurveysTo get a feeling for how this works in practice, I  road-tested a couple of the new super-cheap services: Toluna QuickSurveys and Google Consumer Surveys. I tested Google because it is the new kid on the black, doing things completely differently to everybody else. There was no particular science behind my choice of Toluna and I suspect I would have had broadly similar experiences if using any one of the other “traditional” DIY market research services. [Read more…]

Show Me The Money: The Secrets Of Getting Responses To Your Online Survey

If you’re contemplating sending a survey to your existing or prospective customers chances are you’ll be sending it via email. The act of creating the online survey itself has been made relatively easy using tools like SurveyMonkey and SurveyGizmo. The hard part is getting people to respond to your email survey request. [Read more…]

Clouds with Silver Lining: Freemium Text Analytics

Tom CruiseWorking out how to analyse text data is one of the most difficult problems in data analysis.  To get your head around how difficult it is, look at the table below.  This shows the answers of 20 people to the question “What do you dislike about Tom Cruise?” [Read more…]