How To Get More Value Out Of Your Employee Engagement Survey: Part 2


Cleverly Analyzing Your Survey Data

Any employee engagement survey should help your organization drive better business results through more effective management of its employees.  When done properly, an engagement survey helps your organization operate in “the sweet spot” – the intersection of enlightened and sustainably profitable management of people.

Employee engagement surveys often fall far short of this potential because data from surveys is not properly analyzed, and the resultant report therefore has little impact.

There are three steps you must take to ensure that your employee engagement survey has maximum positive impact:

Part 1 – Ask the right questions (see our August newsletter)
Part 2 – Analyze the data cleverly (see the guiding principles outlined below)
Part 3 – Create insightful reports (coming up in next month’s newsletter)

The five principles that should guide your analysis of employee survey data are listed below.

1.  Design your analysis to identify statistically the most important drivers of your organization’s employee engagement and ability to achieve its business goals.  The analysis needs to go far beyond benchmarking and measuring high and low scores.

2.  Use correlation analysis as a primary tool for identifying the drivers of each of the outcomes questions separately.  (Click here for a discussion of diagnostic vs. outcome questions.)

3.  Systematically combine the findings from the correlation analyses with measures of organizational strength and weakness on each of your survey’s diagnostic questions to create a rank ordering of areas of opportunity.

4.  Simultaneously examine the rank ordering of areas of opportunity for each business outcome to create a “short list” of the most important areas of opportunity.

5.  Use that short list to create fact-based, directional recommendations.

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How To Get More Value Out Of Your Employee Engagement Survey: Part 1


Ask The Right Questions!

Employee engagement surveys are a potentially enormously valuable source of actionable insights about how to improve employee engagement and business results. This potential, however, too often goes unrealized, because many HR departments are stuck in out-of-date ways of thinking about what engagement surveys can and should do for their organization.

In the end, getting more value out of engagement surveys also requires clever analysis of your survey results and compelling reporting on the findings (topics we will cover in subsequent newsletters).

But first, you’ve got to start by asking the right questions!

There are four points to keep front and center in the design of your employee survey:

  1. Your survey “real estate” is a valuable commodity – so use it wisely. You’ll get more responses and more accurate answers when you keep your surveys fairly short.
  1. You should ask questions that fall into two different broad categories: outcomes and diagnostic items.
  1. The outcomes questions should be carefully chosen, small in number, and focused on your organization’s key business goals. These include, but should also go beyond, employee engagement.
  1. The vast majority of your survey real estate should be devoted to diagnostic questions, because that is where the actionable insights will be found. Diagnostic items are designed to get employees’ assessments on a wide range of workplace elements that might be helping to drive (or impede) key outcomes.

And how do you find out which diagnostic items are the ones driving the outcomes?  Stay tuned – that’s a topic for next month’s newsletter!

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How Investors Rank Companies


Bottom line
How investors “grade” a company is almost identical to how the company’s employees grade it.


  • In a world of increasing transparency, where employees’ ratings of their employers are easily made public (see, for example,, shareholders’ interests are increasingly aligned with employees’.
  • Investor relations departments need to be paying more attention to what their company’s HR department is doing, and how that is being communicated to external stakeholders.

The Evidence
Over the past few years, we have been collecting data on how both employees and investors rate companies on 12 attributes measuring company actions and attitudes in three domains: Employers, Sellers, and Stewards (of the community and environment).  For example, one of the attributes measured in the Employer category was whether the well-being of employees was of great importance to the organization being rated.

After assessing each of the 12 attributes, the raters were asked to assign an overall Good Company grade from “A” to “F” to the company they were rating.  We then used combined data from all respondents to analyze statistically the relationship between each separate attribute and the overall company grade.  This made it possible to determine which attributes were, on average, of greater or lesser importance in shaping a respondent’s overall assessment of a company.

Our analysis found the relative importance assigned to the various attributes is virtually identical between investors and employees.  Items in the Employer domain are overwhelmingly the most important for both groups.  For both groups, all four Employer attributes are among the raters’ five most important attributes.

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How to Become Better at HR Analytics


In many HR departments, the heat is on – or soon will be.

Senior executives are increasingly demanding that HR provide actionable insights for driving better business results through targeted improvements in the management and development of people.

The insights that are now increasingly expected from HR go far beyond traditional HR reporting on headcount, time-to-fill vacancies, and employee engagement benchmarking.  Instead, there is a growing demand that HR provide analysis about how to cost-effectively improve outcomes such as the following:

  • Sales productivity
  • Customer service
  • Managerial effectiveness
  • Employee well-being
  • Workforce diversity and inclusion

It’s clear: the bar is being raised quickly.  So how do you get from where you are currently to where you need to be?

In the end, advanced HR analytics capabilities can’t just be parachuted into your organization – you have to build it through the following steps:

1.  Create organizational and broad-based executive support by beginning to produce insightful, succinct reports and analyses.  Ensure they’re presented from an executive’s perspective – not HR’s.

2.  Develop an analytics strategy that’s aligned with your organization’s overall business strategy.  This should lead to the production of business intelligence and actionable insights that help leaders at all levels in your organization drive better business results through focused, targeted and achievable improvements in the management and development of people.

3.  Grow the size and skills of your analytics staff within HR (or find a trusted external analytics consultant).  Don’t focus exclusively on technical skills.  The business acumen, collaboration, consulting and presentation skills of your analysts (and HR generalists!) are all critical elements as well.

4.  Expand the scope of your HR analytics initiatives to encompass all of the essential aspects of people management and development.  This includes the following:

  • Recruiting and onboarding
  • Learning and development
  • Performance and career management
  • Rewards and recognition
  • Engagement and retention

Where to start?  If you’re like most HR departments, you have limited resources, but your executives have high expectations.  So you need a plan that enables you to focus on the right things and to get them done in the right order.  And that, of course, will be shaped by your organization’s current HR analytics capability.

So we’ve designed a quick (and free!) online assessment tool to objectively measure your current level of HR analytics maturity along with recommendations on the most important areas for focus in light of your relative strengths and weaknesses.  The assessment takes fewer than 10 minutes to complete, so why not give it a try right now? Click here to begin the analytics self-assessment.

We hope you find it useful.  And if you’d like to have a quick call to discuss your assessment and feedback and think through next steps, don’t hesitate to be in touch with us. We’d love to hear from you!

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7 Steps to Using Analytics to Improve the Evaluation of Learning


A recent CLO article reported that a growing number – nearly 60 percent – of CLOs are dissatisfied with their internal learning analytics capability.  The article states that, “This reflects an ongoing trend: The state of measurement in learning and development is falling behind other areas of the business. CLOs are more dissatisfied with their organizational approach to measurement this year than last, continuing a trend of the past three years.”

In short, in most organizations a different approach is needed.  More of the same (which typically means using Kirkpatrick levels 1-5, with an emphasis on the lower levels) won’t get CLOs where they want to be – understanding what’s working (and what isn’t) in learning and development initiatives and targeting resources at the most fruitful areas for improving business results.  Instead, a more modern, “analytics-enhanced” approach is necessary.

Here’s what we’ve learned about how to transform an organization’s learning analytics:

1.  Create an “authentic” learning impact evaluation by embedding it in a more holistic framework.

The fundamental problem with traditional (Kirkpatrick) learning evaluation is that it’s done in a vacuum.  While some Kirkpatrick evaluations definitely have their place, a more authentic way to evaluate the impact of learning is to embed it in the larger context of measuring the overall management and development of a company’s people.  In particular, companies should seek to identify opportunities to learn from “naturally occurring variations” in people’s work, learning, and leadership environments.   All of those variations – not just learning-related ones – should be used to assess and predict variations in business outcomes.  This requires that the CLO’s office collaborate with – or take the lead to create, if necessary – an analytics “center of excellence” within the organization.

2.  Stop waiting for the perfect data warehouse.  Instead, create a “data hut.”

At their core, data warehouses are designed for reporting – not analytics.  So the sooner you realize that your organization’s data warehouse (whether current, pending, or hoped-for) is never going to enable you to do the learning analytics that you need, the better off you’ll be.  To undertake analytics, you need to start by putting together heretofore disparate pieces of data (see Figure 1).   This will enable you to do the following:

  • Take a big step toward embedding your learning evaluation in the larger context of evaluating people management and development (step #1 above).
  • Analyze why you are getting the impact that you are getting (not just what the impact is).
  • Produce actionable insights about what levers to pull to create better business results through learning.

Figure 1. Build a HR Analytics “Data Hut”


3.  Don’t let the perfect become the enemy of the good.

Generalizing #2 above, in the early days of creating an analytics-enhanced learning evaluation, you will almost certainly not be able to obtain all of these disparate pieces of data and integrate them into a unified analysis file.  But don’t let that become an excuse for inaction.  Start by putting two of these pieces of information together – for example, data from your LMS with employee engagement, or turnover data, or customer satisfaction data, or sales data.  The important point is to begin to make progress, rather than to continue with the (unsatisfying) status quo.

4.  Choose your initial analytics project carefully.

The best place to start is with a burning business issue.  Examples might include one or more of the following:

  • Customer satisfaction problems
  • Lackluster sales
  • Safety
  • High levels of regretted turnover
  • Failure to achieve diversity and inclusion goals
  • Stagnant or declining employee engagement

Design your initial analytics project to provide actionable insight on issues that are front-and-center for senior executives, and you will find yourself in a much better place.

5.  Start under the radar.

Making progress towards better, more powerful, analytics-enhanced learning measurement does not have to take a lot of time or money.  Choose the right initial project (#4) without fanfare.  Just go do it.  Use the findings from your first project, and the enthusiasm that it will engender, when properly presented (see #6), to bootstrap up your learning analytics budget and capability.

6.  Remember: insightful reporting trumps data dumps.

Learning analytics is both a science and an art.  The art comes in how you present the findings from your analysis.  Less is often more.  So focus on what executives need to know to drive better business results, and avoid the temptation to share every nuance and cool thing you might have learned in the course of the analysis.

7.  Use learning evaluation to improve the effectiveness of learning.

It will also be tempting to use your newfound analytics capability to prove that “learning is working.”  It’s far better, however, to use it to develop actionable insights for improving the business impact of learning.  Doing so will generate significant returns in terms of the enhanced credibility and support that learning enjoys within your organization.

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