What if we told you that with Enalyzer’s surveys and reports you can implement and track your employee experience in a cost-effective way? Before we get into it, let’s talk about why it’s important.

Companies with a strong base of loyal customers have one thing in common: highly engaged employees. If your employees are engaged, they will perform at every level, delivering a better product and customer service to your customers. In short: customer experience is a direct result of your employee experience. That’s it, we just thought you should know that our job here is done. Thank you and goodnight!

Just kidding. Employee engagement is becoming increasingly complex and there’s a need for new tools and processes in order to improve it. Unfortunately, there’s sometimes a discrepancy between employee’s wants and needs and HR objectives. Many HR leaders have not made employee experience a priority and even when they do, they do not have the tools available to execute it. To throw salt on the wound, the job isn’t getting any easier. Organizations are quickly switching to team-based structures, making the employee experience more important but also more complex for HR to monitor and improve.

Sounds complicated but it is far from impossible. Actually, by connecting Enalyzer with the multitude of tools available today, you can create an engaging environment for everyone.

Meet your new allies: Enalyzer and Zapier

Introducing the perfect combo: Enalyzer, Zapier, and 1000+ apps. Enalyzer is an excellent tool for collecting and analyzing data, helping you know better and make better decisions. Your employee experience should meet your employees’ wants and needs and you can’t do that without collecting and analyzing their feedback.

Zapier is a web automation tool that connects Enalyzer with 1000+ apps. This means you can connect Enalyzer with the apps you and your employees use every day and automize everything. Win meet win.

The employee lifecycle

The employee lifecycle (ELC) is one of the most used HR models and can be used to identify the different stages in an employee’s career to help guide management. The stages are attraction, recruitment, onboarding, development, retention, and separation.

Now that you are equipped with your new powerful allies, you can optimize and automate almost everything about the cycle, making your life and those of your employee’s easier. We’ve broken down the different stages of the ELC and given you some examples for you to get started right away. These are just a few examples of the millions of combinations you can make with Enalyzer, so if you’re app isn’t there, simply head over to Zapier to find more!

RECRUITMENT

Optimize the application and hiring process

When it comes to recruitment there are two groups you need to think about, employees in charge of the recruiting process and the new recruits. Did you know that on average, 250 resumes are sent for a corporate application? With Enalyzer, you can have applicants upload their resumes to your survey and have it all in one place. With Zapier, you can transfer their applications to a project management app and use your time selecting the right person for the job. For example, by transferring your applications from Enalyzer to Trello via Zapier, you can create an easy-to-use recruitment board as seen below.

Plan for future recruitment

We’ve all been there, there’s a great applicant but they’re not fit for the position and you make a mental note to write to them once a new position opens… but it never happens. Instead, collect all the emails addresses with Enalyzer and automatically add them to a mailing list using Zapier. Once a new position opens, let them know!

Start off on the right foot

Give them a warm welcome. Enalyzer is more than surveys, you can easily make an interactive welcome message that thanks to Zapier can be automatically sent to new hires once they’re added to your HR administration app.

ONBOARDING

Make introductions less awkward

Employee onboarding should always be a focus, the faster you get them up to speed the quicker they can be a productive member of your organization. Plus, if you don’t have a plan for onboarding, you risk losing new employees. Remember: effective onboarding saves money and builds loyalty.

It’s your first day and you get introduced to the entire office and somehow you’re not only supposed to remember their names and faces but also what they do… no pressure. Collect information from everyone at the office with a quick Enalyzer survey and transfer the information with Zapier to create a company directory that will massively reduce the awkward “what was her name again?” situations. With 76% of new hires feeling socialization is most important, this smart integration can easily increase engagement.

Check the pulse of new hires

How do you know if your onboarding program is working? By asking your employees. Create a pulse survey on the onboarding processes that you can send to new hires, do this at frequent intervals using this Zap, e.g. once every two weeks or once a month. Analyze your results and improve your program using Enalyzer’s reporting tool. Remember to also have face-to-face meetings with them based on the feedback they’ve provided.

DEVELOPMENT

Assess your team’s development

Showing your employees that you care and encourage their development can do wonders for their engagement and productivity since it boosts morale while gives them the tools to deliver. Enalyzer makes it easy to assess your team’s knowledge. By sending regular test surveys, you can analyze the data in Enalyzer and identify trends of areas that need improving. With Zapier, you can get an overview of their answers via email or a messaging app and keep a well-organized overview.

RETENTION

Constant feedback through pulse surveys

Losing an employee is bad for business. Research consistently finds that employee retention is the key to maintaining know-how and increasing morale, customer satisfaction, and sales. Constantly measure morale and ask for employee feedback, since they need to know that not because they’re not new anymore they’re not appreciated. Build a pulse survey and analyze the feedback using Enalyzer. Zapier makes it easy to send pulse surveys regularly. Remember that retention needs action, so always follow-up!

SEPARATION

Ask why

Employees leave and you have to accept that, but don’t let their knowledge leave with them. They may leave for a multitude of reasons, lack of advancement options, mismanagement, and general job dissatisfaction. Exit surveys give you the feedback you need to ensure current, valuable employees don’t leave. Use this Zap to send automatic exit surveys to those employees that are leaving the company. Use Enalyzer to analyze all the feedback you get and optimize the experience for current employees.

ATTRACTION

Attraction is known as the first stage of the ELC, which is silly because the model is a circular process and not a linear one… but I digress. The attraction stage refers to the power your brand has to, funny enough, attract people. It doesn’t matter how great your product or service is, if you can’t attract talent you will fail over time. The attraction stage takes place all the time since it refers to your employer brand, which is being perceived as a great workplace by everyone, current and former employees, stakeholders, your neighbor – you get the picture.

Implementing some, if not all, the aforementioned processes will contribute to your company’s employer brand. It will send an image to those inside and outside your company that you care for employees and their well-being. For example, if someone doesn’t get hired while you’re recruiting but gets a sense that her application was treated properly and professionally and even gets a email with open positions in the future, she will attach good feelings and opinions to your company.

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The evolution of employee experience

Generally, HR departments focus on issues such as engagement, career development, rewards, etc. separately. These programs have their own set of tools for measuring, monitoring and assessing. However, these different factors are all part of a bigger concept – employee experience. Employee experience sees all aspects of the employee’s satisfaction, engagement and wellness as being interconnected. But how did we get here?

As with everything, the business world evolves and changes. Today, we are seeing a shift from organizational priorities towards a people-centric approach that puts emphasis on experiences. Decades ago, the relationship between employer and employee was straightforward. Employers needed employees and employees had bills to pay and certain skills to offer. Therefore, the focus was on functionality – the employee needed the adequate tools to carry out her work. Bringing up “out there” ideas such as flexible working arrangements would’ve gotten you laughed out the door. Don’t take our word for it, ask your grandparents.

Employers moved on to focus on productivity, however, once technology came into the picture and started optimizing productivity, employers now found themselves focusing on engagement. This shift made the relationship between employer and employee a two-way street, and employers found themselves emphasizing on what the organizations could do for employers.

Which brings up to today, where the buzz word is employee experience. Employees are unable to compartmentalize their experiences and therefore, their experience with your organization entails everything from culture to physical environments.

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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.

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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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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.

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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