Transfer your data across applications with Enalyzer and Zapier

Your greatest resource is your time. Why not use it efficiently? We’ve partnered up with Zapier so you can connect your…

Your greatest resource is your time. Why not use it efficiently? We’ve partnered up with Zapier so you can connect your Enalyzer account with more than 750 apps and automize all your work processes. You can now save time and worry about making better decisions. You can get notified instantly once someone answers your survey, send automatic surveys to paying customers or add new survey respondents to your CRM.

Zapier is a web automation tool that moves data between applications by using Triggers and Actions. The combination of a Trigger and an Action creates a workflow, called Zaps. Through these Zaps, Zapier watches your apps for new data and kicks off Actions based on the Triggers that you set.

Enalyzer and Zapier

Trigger

New Respondent Completed: Triggers when a respondent completes your survey

Action

Create Respondent: Creates a new respondent and sends out an email invitation

Learn more about Zaps, Triggers, and Actions

Real-time and faster feedback

Enalyzer makes collecting feedback simple, while Zapier ensures the feedback can quickly be put to use. Integrate Enalyzer with Slack, Google Sheets, Gmail, and the like to receive your customer’s feedback straight away. This allows you to react faster to critical customers.

Engage your audience

Engaging your audience is important and you can do this in several ways, such as feedback surveys and webinars. Instead of doing all this tedious work manually, connect Enalyzer with MailChimp or another email service app via Zapier and let the software handle it. Now you can use your time to understand your subscribers and creating relevant content for them. Or go ahead and use the Enalyzer-GoToWebinar integration to automatically add your respondents as webinar registrants.

Work smarter and optimize processes

Online surveys can be used for more than research. By integrating Enalyzer with project management apps like Trello and Asana, you can optimize collaboration within and across departments. For example, set up a survey where you can insert project details, such as project type, deadline, budget and employee responsible, into your Enalyzer survey and Zapier can add this as a card on Trello or a task in Asana.

Zap. Analyze. Repeat.

Whether you just made a sale on Shopify or you’ve added a new contact to your Google Sheets database, Zapier integrations make follow-up surveys easier and faster. While data is being transferred, you can spend your time analyzing your data as it comes in – all with Enalyzer’s real-time updated reports.

How to automate Enalyzer with Zapier?

 Create an Enalyzer account

 Create a Zapier account

Try some of our Zap templates

Check out Zapier’s help docs for details on connecting your Enalyzer account and setting up your first Zap

Or log into Zapier and build your own workflow with Enalyzer and Zapier

 Automate everything!

The ultimate guide to survey incentives

Traditionally, incentives are given when trying to survey “non-responders”, aka people that don’t answer surveys, such as doctors. I mean,…

Traditionally, incentives are given when trying to survey “non-responders”, aka people that don’t answer surveys, such as doctors. I mean, they’re busy – like really busy – and your survey just doesn’t seem to be worth their while, unless they get something in return. By providing an incentive, you’re giving them a reason to find time in their (very busy) schedule to complete your survey.

Rule of thumb: If people have emotional ties to your product, service, or whatever you’re surveying on, they’ll share their feedback. If not, you’ll likely need an incentive to get the highest response rate.

Survey incentives can increase your response rate but they can also attract the wrong respondents or eat up your budget. There are several factors to consider when choosing an incentive and we’ve listed them for you. Thank us later.

Did you know?

According to a study, respondents who are offered cash incentives are more likely to complete your survey and they feel obligated to take their time to give you their feedback

Budget

Always start by look at your budget. It will determine the type of incentive and whether it will be promised or prepaid (more on that later). For example, instead of giving all your respondents two movie tickets, you can make a lottery where only three receive two movie tickets plus popcorn and refreshments.

Who gets your incentive

There are three methods; you can give the incentive to everyone, the first respondents, or do a lottery system.

A lottery system is simple and you’ve probably seen it before. It’s when respondents automatically enter a draw to win something before or after answering the survey. Items could be anything from a gift card to an iPad.

Anonymity

Not all surveys are anonymous but those that are, should remain that way – incentive or not. We recommend you redirect respondents to another survey once they’ve submitted their answers, where they can provide their contact information. This way you can’t link their responses to their personal information.

Your target audience

Remember that you’re offering incentives to increase your response rate, therefore whatever incentive you choose has to resonate with your target audience. You want to offer items that are valuable and easily accessible.

Let’s say that you’re conducting a satisfaction survey for your training courses. To increase the response rate, you decide to give one lucky winner a free spot for the next course. You might risk only encouraging those who enjoyed the course and would really like to participate in the next one, while those who are not interested will not share their opinion with you. Instead, you could provide free technical support, since anyone can benefit from this regardless of his or her attitude towards the course.

It’s vital that you think about the value the incentive generates for your target audience because choosing the wrong incentive might give you a biased group of respondents and thus unusable data or it might not increase your response rate at all.

Types of incentives

Incentives can be broadly divided into two groups: monetary and non-monetary. Monetary incentives are, you guessed it, money and it can come in the form of cash, checks, gift cards, and vouchers. Non-monetary incentives have value but it is not money, such as a T-shirt or notebook, or a charity donation in the respondent’s name.

To help you navigate the world of incentives, here are some ideas:

Cash
This is one of the most common and successful types of incentives. Research shows that cold, hard cash boost rates more than other incentives. Keep in mind that cash is not always practical when it comes to online surveys.

Value and worth are different things; different amounts can have the same value to different people. Let’s say your target population is lawyers, the cash amount should be higher than if the audience was students. Why? Because lawyers are busier than students, therefore the amount needs to be high enough to make taking your survey worth their while. Students, on the other hand, can find the same value with a lower amount.

Free sample or discount
While cash yields the best results, free samples and discounts could be enough for your survey. Consider offering a discount on their next purchase or a free sample of a new product.

Donation to a charity
Pick a charity that aligns with your company’s values and gives respondents the chance to donate to it. Just make sure you clearly communicate the amount you’re giving per completed survey. Apart from benefiting others, you’re also creating positive connotations with your brand.

Giveaways
This could be anything, cups, jackets, pens or key chains. Another option is gift cards and vouchers to online stores, e.g. Amazon. Online items are easier to redeem since online shops are not bound to a geographic location. Giveaways give you a chance to send some branded merch with your company’s logo.

Promised vs. prepaid incentives

Research shows that prepaid incentives, which is when you provide the incentive before the survey is completed, are most effective at increasing response rates. However, this method is more expensive and harder to implement for online surveys since you are rewarding everyone before they take the survey. Conversely, promised incentives are easier since you don’t have to reward everyone and those you do reward have completed your survey.

Did you know?

Research shows that prepaid incentives yield higher response rates than promised incentives.

Quality Control

Sharing your survey on social media or any public platform gives you access to more respondents than other methods. But you have to make sure your incentive is going to the right people.

Use disqualifying questions to eliminate respondents who don’t meet your criteria. For example, if your survey seeks to find out attitudes about a podcast, make sure they have listened to it by asking “Have you listened to the Revisionist History podcast?” If they answer no, set up a condition that redirects them to an end page thanking them for their willingness to participate in your survey but unfortunately, they don’t fit the adequate target group. Also, tell them to get on it – it’s brilliant!

Recap

 Budget

 Who gets your incentive

 Anonymity

 Target audience

 Prepaid or promised

 Create a FREE Enalyzer account

Quality control

3 guidelines for survey invitations to increase response rates

You’ve invited 500 respondents by email to your survey. So far, only 17 people have opened your survey – and…

You’ve invited 500 respondents by email to your survey. So far, only 17 people have opened your survey – and only 12 people have completed your survey, not even a measly 3% of your target group. You keep hitting ‘Refresh’ on your browser, hoping to collect more data from respondents – but as the days pass, you lose all hope. Does this sound familiar to you?

What you’re experiencing is a question all survey managers struggle with – “How do I get people to open my survey invitations?” In today’s day and age, users are overwhelmed with surveys, from their local coffee shop to workplace reviews. This means respondents are experiencing survey fatigue – before they’ve even opened your survey!

Let’s be honest, nobody wants to open unsolicited emails. Your respondents value their time – and you value their opinion. As the creator of a survey, you’re asking respondents for a transaction, where the burden of the cost lies with them, often with little apparent reward.

Understanding this dynamic is critical when trying to convince users to answer your survey. So how do you break through? How do you get respondents to click on an email they might not have opened otherwise, and how do you convince them to open your survey? Keep reading.

1. Personalize

The importance of sender and subject line are often overlooked when writing survey invitations, with deadly consequences. According to a recent study, 33% of email recipients decide whether or not to open an email based on subject line alone. This means getting this one line of text right is absolutely essential for getting your foot in the door.

According to Adestra July 2012 Report, open-rate of email increases by over 22% with personalized subject lines and over 90% of marketers say they don’t spend enough time on subject lines. This is good news! It means that a personal, interesting subject line will outcompete most other emails your respondents are receiving.

Did you know?

Phrase your subject as a question. For example, instead of Answer our Customer Satisfaction Survey, try: Leonora, have you ever felt let down by Pure Digital? You can easily merge in the name of your respondent and company with Enalyzer’s merge field function.

It is also important to think of the sender name and the sender email. Over 43% of email recipients will mark messages as spam based on the ‘from’ address and sender name.

2. Inform

You need to tell your respondents what your survey is all about. I mean, it’s just good manners. Respondents are far more likely to answer if they know beforehand, what they are getting themselves into. So we’ve made a little checklist of information that is shown to increase response rates:

  • What is the purpose of the research
  • How will their feedback be used
  • Any privacy protections and anonymity settings
  • Length of the survey (in minutes and number of questions)
  • A contact person

Did you know?

CSS-heavy emails often get labeled as “Promotion” in tabbed inboxes like Gmail. Sending a plain text survey invitation may increase your response rates by over 200% to users using Gmail according to one study.

3. Motivate

This boils down to our last guideline: motivate your respondents. Because even after they’ve been greeted personally and informed about why you need their responses, they still don’t know why they should care. This is why you must motivate them.

  • Invoke reciprocity (Be nice and give them gifts)
  • Use incentives (Bribe them with rewards)
  • Publish your results (Make them curious)
  • Follow up with Reminders (The Stop Bothering Me Strategy)

Did you know?

Timing is key. 2-5pm is when most emails are opened and 10pm-9am is the worst time to send emails.

6 things to consider for better feedback forms

As we all know, customer feedback is essential to improving your product and to understand your users. However, every day,…

As we all know, customer feedback is essential to improving your product and to understand your users. However, every day, organizations struggle to collect valuable feedback, that’s why we want to talk about feedback forms.

Feedback forms, when done correctly, are an excellent tool to understand user experience. They’re easy to digest and fill in, which also makes them easy to build and design. Here are 6 things to considering when designing and distributing a feedback form.

→ Check out a simple feedback form

1. Images are powerful feedback

Allowing respondents to upload screenshots straight from their mobiles, tablets, and desktops is a need to have. Not only will it be easier for them to explain themselves but you will also understand their feedback better. With Enalyzer, you’ll get an easy-to-understand overview of the uploaded images in your reports and raw data files.

2. Don’t force them to provide information

If someone is giving you feedback, they should provide you with all the relevant information, right? Yes, but the one deciding what qualifies as “relevant” information is the customer. Remember they’re using their time to help you out, in other words, they’re doing you a favor. If they don’t want to answer all your questions or simply don’t have the time, don’t force them. Nevertheless, if you need more information from them, just contact them and ask, this approach is better and will guarantee a higher response rate.

3. Ensure it works on all devices

Your users can come across your brand anywhere, which means they might be on their phone or tablet. Make your form accessible to them by ensuring its responsive and it resizes to any device it’s viewed on. Enalyzer is 100% responsive, not only for your respondents but for you as the survey administrator and whoever you share your report with, so you and your team can keep up with your feedback anytime and anywhere.

4. Update your form

Your product, service and/or website will always be developing and moving forward, so make sure your form adapts to these changes. Every once in a while, make sure that what you’re asking is still relevant and will provide you with an understanding of your user’s experience.

5. Less will give you more

Users that are going to report a bug, feature request or just general feedback don’t want to use too much time. They’re willing to share their experience with you but it has to be easy. Cluttered forms will turn people away since they look time-consuming, which makes everything worse if the user is filing a bug report. So what do you do? Keep it simple, uncluttered and easy on the eye – this goes for the design and content – and watch the feedback tick in!

6. Location, location, location

Feedback forms are like real estate, location is all that matters. Well, not exactly, but you get where we’re going with this one. Users are not going to spend their time trying to find your form, so make sure it’s in logical places within your app and website.

→ Create a FREE account

Unleash the power of your Net Promoter Score® with time series

Net Promoter Score®, we’ve talked about it before, and you know what? We’re doing again! Why? Because NPS, when used…

Net Promoter Score®, we’ve talked about it before, and you know what? We’re doing again! Why? Because NPS, when used right, is a powerful tool for any business and organization. But first, let’s recap.

What is it? NPS is a metric developed in 1993 by Fred Reichheld as a way to measure customer loyalty.

How does it work? NPS is based on a single and simple question: “How likely is it that you would recommend this [company/product/service] to a friend or colleague?” However, we recommend you add an open answer question. This way you allow respondents to elaborate on whatever score they’ve given you and it helps you take action!

How is the score calculated? The NPS ranges from -100 to 100 and it can be seen as a report card for your company, product or service, grading the overall customer experience. Respondents are segmented into three groups according to the rating they gave:

Promoters (score 9 – 10) are loyal and will recommend you to their networks. They are your ambassadors and are therefore more likely to remain customers and increase their purchases over time.

Passives (score 7 – 8) are satisfied for now but your company, product and/or service didn’t leave a lasting or permanent impact. They won’t vouch for you but may mention you within the right context.

Detractors (score 0- 6) are not happy! They will actively spread negative word-of-mouth and tend to be louder (and scarier) than promoters.

What does the score mean?

We find that people often wonder what their score means and how to deal with it. Well, the NPS is the percentage of promoters minus the percentage of detractors, therefore a positive score means you have more promoters than detractors and vice versa. To increase your NPS, you have to boost the percentage of Promoters by reducing Passives and Detractors. This gives you a straightforward metric that you can share with your employees and use as a motivation tool to provide the best customer experience possible.

Nevertheless, if you want to turn your insights into action you should start digging deeper into your NPS. The real value of your NPS is revealed when you start tracking it over time, therefore it’s imperative that you send out NPS surveys after critical touch points, allowing you to identify trends and figuring out what works and what doesn’t.

Identify trends

The trend of your NPS is more important than the score itself. Customer attitudes change constantly and they may depend on various factors, you want to be able to understand and identify NPS trends and make strategies accordingly. For example, a healthy trend would be to see an increase in Promoters among those customers that have been with you the longest. If this is not the case, you might be running the risk of losing long-term customers, meaning that you need to pay close attention to the open-ended feedback and identify the factors that are causing this trend.

Pro tip: Send your NPS survey immediately after the customer has been in contact with your company, product or service. For example, right after customer support solves their query.

Quantify effects of changes to your product or service

By tracking your NPS over time, you can quantify whether changes you make to your product or service affect the customer experience. This enables you to figure out what works and what doesn’t and allows you to address concerns immediately. For example, if your customers are experiencing bugs related to a recent feature release, this might reflect negatively on your customer’s support NPS. Tracking your NPS will reflect this and show that the problem is not necessarily related to your support agents but to the unexpected bugs. Consequently, your strategy will be focused on improving feature releases instead of wasting resources in adding support agents.

With Enalyzer, you can use time series charts to track your NPS over time and get a clear overview of your customer segments. Enalyzer reports show real-time updated data, allowing you to act immediately to your customer’s feedback and therefore improve the customer experience you provide.

→ Start tracking!

Find your respondents

After putting time and effort into creating a great survey, we find surveyors asking, “where do I find people to…

After putting time and effort into creating a great survey, we find surveyors asking, “where do I find people to take my survey?”

Today, there are multiple ways to reach your respondents, however, this doesn’t mean they’re all applicable to your survey. For example, your customer service feedback survey should be sent to customers that interact with your customer support. Therefore, the best way to reach them will most likely be sending a follow-up email after customer support has solved their query. That’s why you should start by identifying your target audience and then figuring out the best collection method(s) to reach them.

But don’t worry, we’re not leaving you alone on this one. Here are some collection methods we recommend:

Email
If you have an existing list of contacts that have agreed to receive emails from you, e.g. newsletter list, then you can send your survey to them. Email as a collection method is often used for employee and customer surveys and it’s a great way to add existing background variables, such as department and industry, for a better report.
Social media
You can share your survey to Twitter, Facebook, LinkedIn, Google+, or any other social platform that your audience uses. As a bonus, Enalyzer allows you to add social media icons to your survey so your respondents can share your survey with their networks. To weed out respondents outside of your targeting audience, add screening questions to your survey. For example, if your survey seeks to find out attitudes about trust in politicians among voters, make sure that your respondents are 18 years old by adding a question: “How old are you?” If the respondent is 17 or younger, set up a condition so that the respondent is directed to an end page thanking them for their willingness to participate in your survey but unfortunately, they don’t fit the adequate target group.
In-Person
Sometimes you have to go to where your respondents are, for example, if you’re conducting a survey about your hair salon and its facilities, it might be a good idea to ask people as they’re leaving. Set up a tablet in your store to make it easier for your respondents.
Panel
Panel companies can match your survey with online respondents for a fee. There are plenty of online survey panel companies out there, all you have to do is find one that specializes in what you’re looking for, describe your project to them and they’ll find a solution that fits your needs. If you’re interested in this, you’re welcome to contact one of our consultants and hear more. They can do the whole survey for you or you can create your own survey and they will match you with the right panel.

Collection methods are not mutually exclusive, which means you can, and should, combine the necessary methods that will help you reach your target audience. Whatever you decide, remember that it all starts with your target audience.

→ Create a free account and try it yourself!

4 things to consider when targeting respondents

Now that you have your survey and design all lined up, it’s time to invite respondents to your survey. This…

Now that you have your survey and design all lined up, it’s time to invite respondents to your survey. This may seem like the easiest step in research, how hard can gathering data be? Let me burst your bubble and tell you, this is one of the most important aspects of survey research and can determine the fate of the entire research endeavor. No pressure.

You need to make sure that you target the right respondents so that they accurately represent what you wish to look into. But, how do you ensure accurate targeting without introducing a source of bias to your research? Bias is the concurring evil of all research, so here are 4 things to consider:

1. The what and the who: research interest and population size

When determining who should answer your survey and how they get a hold of your survey, you first need to figure out what your research interest is. It doesn’t make sense to survey all students at the University of Oxford if you’re trying to figure out how satisfied students are with the dorms at the university. For this, you need to define your population, which is the entirety of your research subjects. For this example, the population is the number of students living in the University of Oxford’s dorms. However, it’s often impossible to survey an entire population due to time and cost issues. Luckily, most of the time, surveying the entire population isn’t necessary. Drawing inferences from samples often get you pretty close to the actual population, just be mindful of the inherent uncertainty they carry.

2. Random sampling

In order to achieve a result that comes as close to the truth as possible, you need to carefully sample your respondents. A sample frame is a list containing the entire population, from which a random sample is drawn. Continuing with the above example, this would be a list of all students living in the dorms, from which random names are selected to participate in the survey. You need to make sure that each student has the same chance of being selected so that you can minimize the sampling error (the natural deviation between sample and population). This is called probability sampling.

3. Sample size

We know you’ve been waiting for this one. The answer to the question; how many respondents do I need? Well… that depends on many factors but don’t worry we have a formula for you.

Let’s not get ahead of ourselves and take this one step at a time. You have to set the maximum error you’re willing to accept in your survey. When doing this, you should be aware of the following two parameters: margin of error and confidence level.

The margin of error is the interval within which you expect to find the value from the population you’re measuring. For instance, let’s say you wish to determine how large the proportion of the 10.000 students in the dorm are exchange students. If we assume that 1.000 are exchange students (10% of the population) with 5% margin of error, it really means it is about 500 (5%) and 1500 (15%).

The confidence level expresses how confident you feel about the value you look for within the margin of error. For example, in the previous case, if you choose a 95% confidence level, we could say the percentage of students in the dorm that are exchange students in 95% of the cases, is between 5% and 15%. In other words, if we repeat the survey 100 times, the proportion we’re looking for would be within the interval 95% of the cases and it would be out the interval in the remaining 5% of the cases.

The margin of error, confidence level, and sample size are always linked and co-dependent. Modifying any of these values will change the others:

  • Minimizing the margin of error will require a bigger sample size.
  • Increasing the confidence level will require a bigger sample size.

So, once you’ve decided on the margin of error and the confidence level you can use the formula to determine your sample size!

Pro tip: As a reference, the margin of error in political polls is usually 3%.

n: sample size to be calculated
N: size of the population (e.g. 1 000 students)
Z: refers to the confidence level and is derived from a statistical distribution

  • Confidence level 90% -> Z=1,645
  • Confidence level 95% -> Z=1,96
  • Confidence level 99% -> Z=2,575
e: maximum margin of error I tolerate (e.g. 5%)
p: proportion we expect to find. As a general rule, if we don’t have any information about the value we expect to find, we use p=50% .

4. Non-response and response bias

Once you’ve determined your ideal sample size, add a couple extra! Why, you ask? Because there will most likely be some who don’t want to answer your survey. To counter the effects of people not responding, you may want to increase your sample size by the expected non-response rate. So, why should you care?

This has got to do with two more biases related to your respondents that may influence your data. A response bias is mainly on the side of the respondent, who doesn’t understand the question or is lying while answering the question. You can counter this by making sure your questions are properly phrased and that respondents trust that their answers are anonymous and/or confidential.

Quiz Better

Quizzes are meant to test a person’s knowledge in a quick way and they can be formal or informal. The…

Quizzes are meant to test a person’s knowledge in a quick way and they can be formal or informal. The internet is full of entertainment quizzes that question people’s knowledge of pop culture or political awareness. Quizzes, however, can also be used in formal settings, e.g. pop quizzes in US schools. Quiz results are often graded and shared with the respondent a while after they’ve taken the quiz.

But what if your respondents could see the results when they reach the end of your quiz? This will transform your quiz into an interactive experience and can serve as an incentive for people to answer and reshare your quiz.

Example

→ Check it out!

To say goodbye to 2016 and hello to 2017, we launched a New Year’s quiz where we tested people’s knowledge of some of the things that occurred in 2016.

As soon as respondents finished the quiz, they were redirected to a report showing the correct answers and how people had answered. This allowed respondents to test their own knowledge and measure it against others.

A quiz like this can be made more interactive by, for example, adding some demographic questions such as age. This will allow you to compare results based on respondents’ age and inciting a bit of competition.

→ Create a free account and try it yourself!

Fun fact

The word ‘quiz’ is only 250 years old, give or take, and it has had several meanings. In 1782  Fanny Burney used the word to refer to ‘an odd or eccentric person’. Also, around 1790, ‘quiz’ was the name for a toy. Today’s use of them term refers to ‘a test of knowledge’, this meaning emerged in the mid-19th century and the origin is hard to account for.

Making better estimates: how to deal with sample uncertainty

Every measurement is subject to some uncertainty but sometimes researchers tend to forget this. A common mistake researchers usually make…

Every measurement is subject to some uncertainty but sometimes researchers tend to forget this. A common mistake researchers usually make when interpreting results is ignoring the uncertainty of samples, which leads to decisions based on wrong data interpretations. To make sure we’re all on the same page, let’s start with the basics.

What are samples and what do we use them for?

Market researchers and analysts are usually interested in obtaining knowledge from a certain population, e.g. all employees in an organization. Getting data from the entire population would be ideal, however, this might be impossible to obtain for various reasons, the most common ones being time and money. Instead, researchers use a sample of that specific population. The common approach is to run statistics on the specific sample and use the results as “estimates” for the entire population.

Now that we got that covered, let’s move on to an example

Pure Digital is a marketing agency and they have a customer base of 10.000 customers. They want their customers to rate their satisfaction of the marketing services Pure Digital provides. To do so, they create a one question survey and send it to a subset of 300 customers on a yearly basis.

→ Check it out 

Based on the data collected from these 300 customers, Pure Digital calculates an average satisfaction score for each year:

Here’s where the common mistake happens. Researchers and analysts tend to look at the above and conclude that customer satisfaction is deteriorating. But is it? No, it’s not.

The problem

This conclusion is based on the assumption that 3.8 in the sample represents 3.8 in the total population (and in the previous years, the same is true for the average satisfaction of 4.2). This is not correct! If a different sample had been taken, the average satisfaction might have been the same or entirely different. In the above example, Pure Digital got, entirely by chance, some more or less dissatisfied customers into the sample that influenced the average rating. Thus, concluding that the satisfaction score, based on the sample, is a good indication of how satisfied the 300 customers are. What the market researcher didn’t do, is take into account the inherent uncertainty with regard to the satisfaction scores.

The consequences

If you don’t consider this uncertainty, you might end up overreacting or under-reacting. For example, let’s assume that all 10.000 customers are satisfied on average at 4.2 (while the sample tells us 3.8). What would the conclusion then be? Well, here, we mistakenly conclude that our company is not performing successfully when in fact we are doing well. However, if all customers have an average satisfaction level of 3.6 (and the sample still says 3.8) then we might think that we’re not doing as bad as we actually are.

In short, if we assume that a statistic such as an average from a sample is the same in the total population, we make mistakes. Mistakes that can potentially be costly and time-consuming.

The solution

In statistics, the average of a sample would be referred to as a point estimate. A point estimate by itself might be a good start but it doesn’t provide any information about how “good” this estimate is – it doesn’t take into account the uncertainty.

To get an idea of the error that we might have because we have a sample and not the total population, we can use confidence intervals, aka, range estimates. Contrary to point estimates, a range estimate provides a whole range of potential population estimates that are likely to be true.

The correct interpretation of data

For the example above, instead of assuming that the 3.8 average of the sample can be generalized to the total population, Pure Digital should compute the confidence interval and base their decision-making on a statement that says “we can be 95% confident that the true population average ranges between 3.8 and 4.2.

We started with a simple point estimate (satisfaction of all customers is 3.8) to a range estimate (it is quite likely – 95% – that satisfaction ranges between 3.8 and 4.2). The difference here is vital because it directly affects decisions. In this case, we could conclude that the difference between 4.2 and the quite likely 4.0 of this year is not big enough for Pure Digital to engage into redesigning the marketing services they offer.

In conclusion, by taking random samples and computing range estimates instead of point estimates, we acknowledge that our estimate of the population is to some degree uncertain and we are better equipped to avoid costly under- or overreactions.

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How did the polls get it wrong?

November 9th, 2016 will go down in history as the day the United States of America elected Mr. Donald J….

November 9th, 2016 will go down in history as the day the United States of America elected Mr. Donald J. Trump, which, needless to say, came as a surprise to many people, especially pollsters. During the past weeks, there has been quite a few finger pointing towards the polls. Many are wondering, how did the polls get this so wrong?

We decided to have a little chat with our Head of Research, Henrik Nielsen, so he could shed light on this matter.

This is not the first time polls have gotten it wrong, right?

Have you ever heard of the Shy Tory Factor? It refers to the British general elections of 1992 and 2015, when the Conservative Party, aka the Tories, significantly proved the polls wrong. In both elections, polls didn’t take into account conservative voters that hid their support for the Conservative Party.

Last year, Danish parliament election polls also got it wrong, none of them predicted the rise of The Danish People’s Party. Just this summer, we were all witnesses to Brexit even though all the polls predicted a win for remain.

Does this mean that we’re going to stop using polls to predict elections, among other things?

Many political experts, who got this election completely wrong, have already started to proclaim that this marks the end of polling and are calling polls a wild goose chase. We should take this with a grain of salt since they are trying to protect their own brand as political experts. In other words, no, this is not the end of polling. Polls attract readers, viewers, and clicks, which in turn brings in advertising money and as Liza Minelli says, money makes the world go around.

It’s not the end of polling but should it be?

Polls are not a wild goose chase, even though many are calling them that. Polls are useful and render excellent data; however, pollsters need to start re-examining the methods used in polling. Just like in 1992 Britain, before the 2016 US election, experts already started dismissing “shy trump” supporters. They based this dismissal on pre-election polls – ironic, right?

Back to your original question, pollsters need to increase their efforts and revise the way they do things and the rest of us need to remember that, even if the evidence says otherwise, polling carries uncertainty.

What should pollsters do in the future?

The French presidential election is coming up in the spring of 2017, so all of us, especially pollsters, need to look out for the “Shy Trump” phenomenon. As I said before, looking at polls is not a wild goose chase but, as in all aspects of life, polls have to be done according to the 7 P’s – Proper Preparation and Planning Prevents Piss Poor Performance.

The future of polling requires that pollsters find a way to handle the “Shy Trump” phenomenon. I will be following, and suggest everyone does, the polls on the French presidential election and see if the pollsters are able to figure out a way to handle the “Shy Trump” phenomenon or whether Marie Le Pen and the National Front will get a much better result than the polls predict…

The poll we conducted about the US election showed that 83.1% would’ve voted for Hillary Clinton, did we also get it wrong?

Ha! First things first, our poll is not representative, that being said it did show something interesting. It suggested that the majority of respondents would rather enjoy a beer in the company of Mr. Trump than Mrs. Clinton.

This question serves as a proxy for the winner of the election since it turned out to be a better forecast of the US election result than 99% of polls used the media coverage.

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Are you saying Enalyzer saw it coming?

No, not at all but it’s still funny. Also, wouldn’t you rather admit to a beer than to a vote for the US presidency?

Did anyone see it coming?

Yes, there was, in fact, one poll that foresaw the victory of Mr. Donald Trump, however, this poll was written off as nonsense by the majority of the high esteemed panel of political experts, you know, those experts who got it all wrong.

6+ ways to enalyze

1. Improve customer relationships Whether it’s friends or customers, relationships are important and they need work and attention, but who…

1. Improve customer relationships
Whether it’s friends or customers, relationships are important and they need work and attention, but who said it has to be hard? That’s a rhetorical question since apparently everyone thinks it’s hard. Well, we don’t think so and that’s why our experts created the customer loyalty template. It’ll help you understand your customers’ experience with your organization and allow you to identify where you need to work harder and where you’re succeeding.

2. Ask customers why they left
Nobody likes rejection but it happens. We understand the urge to grab a glass of wine and sulk the day away after losing a customer. As appealing as that sounds, we have a more productive option; ask the customer why they left. Use their feedback to make improvements for your current and future customers. You can quickly get started with our customer exit template and when you’re done, reward yourself with a glass of wine.

3. Take care of employees
As employers, you want to make sure your employees are happy, motivated and engaged but let’s face it, people would rather share pictures of their recent trip to Bali with the world than their honest opinion with their bosses. So, what can you do? We already talked about this, but the gist is that we recommend anonymous surveys to gather honest employee feedback. You can use our employee engagement template, it’ll only take a few clicks!

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4. Listen to work newbies
Starting a new job can be scary and daunting, maybe even slightly awkward. That’s why employers should do whatever they can to ensure new employees are properly and professionally welcomed to the organization. However, have you considered the fact that we all have blind spots and you could be overlooking something? Instead of wondering what it could be, you can ask the new employees! We recommend our employee entry templates that focus on the first 30 and the first 100 days of the new job.

5. Plan your next party
All work and no play makes for a boring life, isn’t that how the line goes? It’s important to blow off some steam once in a while. With that in mind, we refuse the idea that party planning should feel like work, which led us to create two templates for you; event planning and summer party. Combine them or use them individually, they’ll cover RSVP, dietary preferences, who brings what, and loads more.

6. Put hypotheses to the test
Surveys are a great way to test hypotheses about attitudes and behaviors in regards to anything; education, markets, politics, you name it! When used correctly, online surveys can be a powerful tool for academic research. You might not need them since research is topic specific, nevertheless, our experts did the reading for you and created several survey templates based on academic articles on branding, service quality, product design and more!

+ Don’t limit yourself
The Enalyzer research team has created more templates just for you and no matter the template you choose, you can use it as is or customize it to fit your needs. We also invite you to create your own survey from scratch and believe it or not, you can share your survey as a template to your friends!

Happy enalyzing!

Employee feedback, should it be anonymous?

Well, that’s a loaded question for a Monday. But sure, let me grab some coffee and let’s get right into…

Well, that’s a loaded question for a Monday. But sure, let me grab some coffee and let’s get right into it!

Ok, so before we start, we need to recognize that employee feedback is vital for personal and professional growth. Think about it, your employees spend a lot of time on the job, according to Happiness at Work it’s about 90,000 hours… that’s a lot of hours. Understanding how they are doing and making sure to provide an environment where they can thrive ensures they grow as people and they engage in company goals and objectives.

With that settled, it is now important for you to identify what systems and solutions to use in order to collect employee feedback. There are different methods, such as suggestion boxes, feedback coaches, and surveys. You want to look for a combination of methods that are understood and accepted by your employees since this will get you as much feedback as possible, but most importantly you need a system that ensures honest feedback.

Which brings us to your original question… should employee feedback be anonymous?

We live in an age of sharing, which means people are comfortable with sharing pictures of their pets, opinions on movies and selfies upon selfies. Some people might even call this oversharing but at Enalyzer we don’t judge – you do you! Nevertheless, for some reason which most of us can relate to, being open and honest with your boss still feels risky, which is why anonymity is important.

There are many that disagree and believe that fostering a culture of honesty and openness is the best way to go since you can ask employees to expand on answers, reach solutions together and award employees for constructive feedback. This is all true, but the most popular and effective tool to gather employee feedback is surveys, and realistically speaking, you will not get honest answers (or any at all) if you can’t guarantee anonymity.

Anonymous surveys can help you get started in creating a culture of honesty and they are a powerful tool when used properly. Employees will share their true thoughts and suggestions when they don’t fear retaliation, and by constantly acting upon the feedback you receive they will feel heard. Yes, it’s one of those win-win situations we all love.

Anonymity with Enalyzer

We are big advocates of anonymous employee surveys (if you couldn’t already tell), so we’ve designed a tool that ensures complete anonymity. As with many other tools, you can make your survey anonymous which means personal information on the respondents won’t be gathered or stored, but anonymous surveys are more than that.

Your respondents need to be confident that your survey will be conducted and processed in a manner that guarantees their absolute anonymity and this can be tricky with online surveys. Why is that? Well, sharing a report based on a survey with a low level of responses can compromise your respondents’ anonymity – but we took care of that.

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With Enalyzer you can apply an anonymity level to your reports and charts, which will hide data until that level is reached. So, if you set your level to 5, all those your share your charts and reports with will not be able to see the responses until more than 5 respondents have answered the survey.

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Wanna check it out? Create a free account!

It’s all about first impressions: the importance of survey design

It takes people 1/10th of a second to form an opinion about a person, and surveys are no different. Always…

It takes people 1/10th of a second to form an opinion about a person, and surveys are no different. Always keep in mind that surveys speak in two languages; words and visuals. So, your survey’s first impression relies on these two complementing each other.

Images, colors, and fonts

We are sure you already know this, but we’ll say it again – colors, fonts, and images are important! Plenty of studies (shout out to Internet, Phone, Mail, and Mixed-Mode Surveys: The Tailored Design Method by Don Dillman, Jolene Smyth, and Leah Melani) show that these incite feelings and attitudes on people, which means you shouldn’t overlook the impact these can have on your respondents.

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You can find endless research on colors, fonts, and images and we encourage you to do so, however, today we’re taking it a step further. We want to focus on matching your survey’s visuals to its content.

Avoid bias by conveying the same message through visuals and words

Make sure your visuals and text are saying the same thing. If you have chosen a casual and informal tone in order to target a certain segment of respondents but your visuals are strict and rigid, you’re creating cognitive dissonance and influencing your respondents’ performance.

For example, if you conduct a survey on attitudes towards different social media platforms and you use Facebook’s color scheme, you will end up with invalid data

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Your survey is part of your brand

Every and any interaction that customers have with your brand is defined as a touch point, and it can have a positive or negative effect. Your survey is a touch point, it’s part of your brand, that’s why your survey design should align with your brand identity and be consistent.

We live in an online world, which means customers experience brands throughout a variety of channels and it’s important to keep their experience consistent. So, if your website and social media are branded then your survey should reflect your company’s brand presence as well.

Engage your audience through visuals

You have chosen a specific tone and words to address a specific audience, however, have you chosen the right visuals? For example, let’s say you’re conducting a survey about homeschooling and include images of classrooms, however, your target audience is homeschooled children, then these images are not going to resonate with them, they might even hit the wrong note. Make sure your visuals align with your content and brand, as well as speak directly to your target audience.

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Ultimately, you can jeopardize your data by overlooking your survey’s visual design. Remember, it is the first thing your respondents will notice and you don’t want to lose them before they even read the content of your survey. Visual design done well can increase response rates and minimize bias, however, when done poorly it can have the opposite effect.

Enalyzer provides multiple survey design templates, which can serve as a great starting point for your survey design – the possibilities are endless.

Pareto principle in survey analysis and reports

  The Pareto Principle, aka the 80/20 rule, is named after Italian economist Vilfredo Pareto (the dude in the picture)…

 

The Pareto Principle, aka the 80/20 rule, is named after Italian economist Vilfredo Pareto (the dude in the picture) who in 1906 found that 80% of the land in Italy was owned by 20% of its people. Ok, but why is it called a principle? Well, he carried out surveys in other countries and found that the 80/20 distribution occurs frequently. Nowadays in business, this principle is a common rule of thumb, for example, in general, 20% of customers represent 80% of sales, 20% of time spent produces 80% of results… you get the gist.

 

If you apply the Pareto principle to a bar chart, the result will be values plotted in decreasing order of occurrence, organized from left to right. As a result, the chart clearly illustrates which factors have the greatest impact and what problems need the most attention, making them extremely useful in a variety of situations.

When to use the Pareto principle in a chart?

  • When analyzing survey frequency data.
  • When there are many items, and you want to focus on the most significant one.
  • When analyzing broad issues by looking at their specific components.
  • When sharing your survey data with others.

The Pareto principle is without a doubt a necessary tool for you to know better. That’s why we’ve made it very simple for you to create your own. Want to learn how? Click here.

What is being enalyzed?

We have taken the temperature of our enalyzers to see what kind of templates are being used the most and…

We have taken the temperature of our enalyzers to see what kind of templates are being used the most and the results are in!

The top three most used expert templates are:

  1. Customer satisfaction
  2. Course evaluation
  3. Social capital

This shows just how diverse our enalyzers’ survey needs are. Whether it’s to figure out how customers perceive you, if your course met participants’ expectations, or the level of social capital within your organization, Enalyzer’s templates can assist you in figuring out what you, or your organization, is good at and, most importantly, point out what can be improved.

You can check out our different template options and get an idea of how they can help you get the intel you need. All templates are made by the Enalyzer team and are fully customizable so you can use them as inspiration and tailor them to fit your specific needs.