If you're in training, you're probably familiar with the sheets that trainers pass out to learners after a training session, asking the learners to evaluate the training session and the trainer.
These are known by a variety of names. Maybe you call them training-evaluation forms, or student-response forms, or trainee-reaction forms. But they're also commonly--maybe most commonly--known as smile sheets.
Why smile sheets? Because it's common for the learners attending training to give the training/trainer high scores that make everyone smile. But the common assumption is that the trainees do that politely, kindly, quickly, uncritically, and without giving any great thought. And so the term smile sheet is generally used somewhat dismissively, with the assumption that the information they contain doesn't really provide a lot of value. Or, they're assumed to hold much valuable information, even if that's not really true due to poor design.
And yet, quite a few trainers continue to use smile sheets, and many of those trainers do nothing to improve them. Maybe they've never even thought of improving their smile sheets. It's all become a bit of a habit to them, one they don't think about because there's so much else to think about, worry about, and to do.
I recently read a very good book called Performance-Focused Smile Sheets: A Radical Rethinking of a Dangerous Art Form by Dr. Will Thalheimer. The book explains some of the common problems with smile sheets, but also gives some very helpful tips to help make them better. We definitely suggest that you buy and read the book, and we've included a bunch of information to help you do that at the bottom of this article.
But for now, let's look at some of the general points Thalheimer makes in his book and see what we can learn from them.
If you're extra curious on this topic, I recommend you check out our interview with Dr. Thalheimer on smile sheets after you read this introduction.
Here's a picture of Dr. Will Thalheimer's book on smile sheets. We're going to explain to you in this article some of the evidence, findings, tips, and suggestions from the book. But we recommend you go out and buy a copy and read it cover to cover. We've got links immediately below to help you do that.
Here's some additional information about Dr. Thalheimer and his book:
OK, let's get back to a quick overview of some of the book's lessons. We'll provide the links above at the bottom of this article too so you can click to buy the book from either end. 🙂
Let's take a look at a few basic issues about smile sheets and their use, including:
In my own unscientific poll, you can break trainers down into five groups (mea culpa: that's bad that I'm using an "unscientific poll," because we should be using data-driven, evidence-based methods, but the exact accuracy of this breakdown isn't a critical issue for our purposes today, so we'll go with it):
We think this article will be of interest to those different groups for different reasons. Here's our thinking:
Type of Trainer | Why You Might Care |
---|---|
Never even heard of 'em | We are all interested in knowing about stuff from our field that we don't yet know and that might possibly help us, no? |
Heard of 'em, too lazy to use 'em | Hey, we get it. Sometimes we're all tempted to be a bit lazy. But if you read on, you may find that these can deliver enough value to make them worth the effort. |
Heard of 'em, don't use 'em 'cuz they're no good | Well, good point. That's largely been true up to now, although there are exceptions. But our goal here is to show you that you can make really good ones. |
Heard of 'em, use 'em, but use the ones that provide little or no value | OK, so you're making them. Maybe even because you think you have to. But since you're already making them, we bet you won't resist making better ones that provide more value. |
Heard of 'em, use 'em, already write great ones | Great! Well, maybe you're doing fine on your own, but we bet that if you've already gone to the effort of figuring out how to make good ones, you're also interested in learning more. Right? |
So you may be thinking what's the whole point of using smile sheets anyway? Seems like a good place to start the conversation.
There are plenty of good reasons to write smile sheets. Thalheimer gives a list of nine reasons (which he explains that he himself modified from an earlier list created by leaning measurement expert Rob Brinkerhoff). Two that are kind of clever, that raise legitimate points, and that you might not think about are:
"Upholding the spirit of common courtesy by giving learners a chance for feedback" (1)
...and...
"Enabling learner frustrations to be vented-to limit damage from negative back-channel communications." (2)
But the real reason for using smile sheets, to collapse a few of Thalheimer's points into a single point, is to identify weaknesses in current training and use that information to make future training better.
Here, I want to quote Thailheimer at length, because he writes about this passionately and eloquently in his Preface:
"I took this path [studying learning & development] because I believed strongly--and still believe--that learning is a noble cause. It is learning that has enabled human civilization and growth. It is learning that enables individuals to excel and thrive. It is learning that holds the promise of the future.
If learning is so important and our task is such a noble one, don't we, as learning professionals, have an almost sacred responsibility to do our jobs well?
The way I see it, there are two main lynchpins to our performance. First, scientific research must guide our starting assumptions. Second, we must use good learning measurement to get valid feedback so that we can refine our understandings, improve our learning design, and live up to our promise-so that we can maximize the benefit of learning...
While smile sheets should never be the only way we get feedback on learning, by improving them, we can get significantly better information about how we're doing. With better information, we can create virtuous cycles of continuous improvement. We can build more effective learning interventions and meet our obligations as learning professionals."(3)
Kudos! Well said, right?
If we never try to evaluate the effectiveness of our training, we can't use that data to see if our training is working well or not. Which means if our training isn't working, we may not know that, and we won't have helpful information to make it better. And it also means we can't apply the same lessons to other training we may create in the future. So not evaluating the effectiveness of training is a loss/loss.
Consider that phrase Thalheimer uses--"virtuous cycles of continuous improvement." Maybe it's just the third cup of coffee in me talking, but I love that as a professional goal in any discipline. You'd think our friends in lean manufacturing, with their emphasis on kaizen, would be big fans of Thalheimer's efforts.
If you're familiar with Kirkpatrick's Four Levels of Training Evaluation, you may know that smile sheets are level one.
If you're not familiar, and you want the extended introduction, check out that link above, or this one for the "New Kirkpatrick Model."
If you are familiar, or just want a quick review, check out the bullets and image below.
Kirkpatrick's Four Levels of Training Evaluation
Type of Trainer | Thoughts on Level 1 (Smile Sheets) and Relation to Other Levels |
---|---|
Believe that positive learner reactions lead to positive learning, behavioral, and business outcomes
(Note: Here, "positive learner reactions" means learners said they liked the training or that they learned a lot from the training). |
A positive learner reaction is going to lead to positive learning, behavioral, and business outcomes. A negative reaction won't. |
Believe that positive learner reactions don't necessarily lead to positive learning, behavioral, and business outcomes
(Note: Here, "positive learner reactions" means learners said they liked the training or that they learned a lot from the training). |
A positive learner reaction may or may not lead to positive learning, behavioral, and business outcomes. The same is true with a negative learner reaction. |
The interesting distinction here is whether or not a positive level 1 (smile sheet) evaluation is necessary for effective learning and behavioral change, or even if there's a correlation between having the learner say they "liked" the training or say that the training was "effective" and the reality of whether or not the training prepared them to perform well on a test and/or if the training will lead to desired on-the-job behaviors and movement toward desired business goals.
We're going to discuss that in more detail in the very next section, but before you move on, give this question some thought yourself. Is it more likely that employees learned during training if they said they "liked" the training or that the training was "good?" And what if employees rated one training activity (or one trainer) lower than another---are those employees less likely to learn, to perform desired behaviors on the job, or to contribute toward the business reaching business goals?
What do you think?
Side note: We've presented Thalheimer's work on smile sheets within the context of the well-known Kirkpatrick Training Evaluation model, but that's not necessary. Not only that, Dr. Thalheimer has created his own Learning Transfer Evaluation Model (LTEM) and we plan on interviewing him about that in the near future (we hope).
There are quite a few problems with "traditional" smile sheets. Thalheimer goes over them in detail in his book(4), and we'll briefly cover a few of the key points below.
Probably the big bomb-shell Thalheimer delivers is that, according to two meta-analyses of studies on smile sheets (level 1 evaluations) and their correlation to test results (level 2 evaluations), there's ALMOST NO CORRELATION with learning results.
Again, a little quote from the book:
"They found that smile sheets were basically uncorrelated with learning results! To be specific, they were minutely correlated with learning-test results at a correlation of 0.09. You will remember from your statistics that correlations go from -1 to 1. Correlations between -0.30 and 0.30 are considered weak correlations. Having a correlation of 0.09 is practically no correlation at all. It would be like correlating the household level of peanut butter use with the household level of television use." (5)
So that's a biggie right there.
Some of the other problems that Thalheimer notes with traditional smile sheets are:
We'll look at each of these issues in a little more detail in the section below.
Let's look at some of the biggest problems with smile sheets and get some ideas of how we can improve.
One of the big problems is that we're asking the wrong kinds of questions.
The kinds of questions that we often ask relate to things like:
But studies show that having a high score for "liked the training" and/or "learned from the training" doesn't mean the training was actually effective. In short, that means that the people who attend a training aren't good judges of whether or not they learned.
What we should be do is asking if the learners feel that the training prepared them to apply the skills explained during the training when they return to the job.
Breaking that down a touch further, Thalheimer recommends questions that get at the four following issues:
Go ahead and pick up a copy of the book to learn more about this. Thalheimer goes into great detail on these issues, explains their importance, and includes a lot of sample questions too.
Many smile sheet questions ask the learner a question and force them to answer by choosing one of five options, which typically include options like Strongly Disagree; Somewhat Disagree; Neither Disagree Nor Agree; Somewhat Agree; and Strongly Agree. Or the options are similar to that. This is commonly known as a Likert scale.
There are at least four problems with these kind of answer options:
What's a better way to write these smile sheet answer options?
The screen grab below (taken from a recent webinar we hosted on Effective EHS Training) shows some better answer options (and a better question, relating to the last section, too). You can see these answer options are:
For the reasons we explained above, plus others, the feedback we're getting from our smile sheets doesn't tell us if our training was effective or if it wasn't. This is one of two things that Thalheimer says a smile sheet should do.(7)
And, also for many of the reasons we've explained above, we're getting feedback from our smile sheets that doesn't let us--as training developers, trainers, training materials, etc.--act to appropriately follow-up on the information from the smile sheet in order to improve our training. Remember those "virtuous cycles of continuous improvement?"
Not only are we asking the wrong kinds of questions, and not only are we giving learners the wrong kind of answer options, and not only are we getting feedback that doesn't tell us how effective the training was and that isn't actionable, but because we often use a five-point Likert scale as answer options, we often translate those answers into a number--like 3.7 or 4.2 out of 5.
What's a 4.2, again? Is that good or bad? What should I do if I get a 4.2?
Can you reminder me again why we thought it would be a good idea to take poor information and make it one step more abstract?
So we encourage you to run, not walk, to go buy yourself a copy of Performance-Focused Smile Sheets: A Radical Rethinking of a Dangerous Art Form by Will Thalheimer.
We haven't addressed this in the article yet, but here's more that we can say about the book:
In addition, Thalheimer is a positive influence on social media, and fights the good fight for advancing good, data-driven, evidence-based training learning practices.
Here's some additional information about Dr. Thalheimer and his book:
One last thought. A lot of you have, or still are, creating paper-based learner evaluation forms/smile sheets.
You create these, you hand them out, people complete them with pen or pencil, they return them, then you have to somehow collect and analyze all that paper-based, hand-written data.
One thought is that you can use online, digital tools to move this process into the current day. For example, online websites such as SurveyMonkey have tools to help you with this.
In addition, many learning management systems (LMS) include survey-creation tools such as the one shown below that you can use to do this as well. The benefit here is that it keeps all your learning and development materials in one system.
Hope you enjoyed this article, good luck with your smile sheets, and let us know your thoughts in the comments section.
To read more about Dr. Will Thalheimer, check these interviews we've had with him:
We're also hoping to get Dr. Thalheimer back for more interviews on additional topics soon, so cross your fingers on that and check back in a little bit.
And hey, why not download our free guide to Learning Objectives below?
Notes: