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In the interest of the continuation of Quinnovation, Learnlets, and me, this is a solicitation post. If it’s not for you, kindly ignore. However, it may be for your boss; if so, please pass it on! 

Do you run an L&D department, or make L&D decisions, and don’t have sufficient learning science background? You know, you get asked to make decisions that involve learning – responding to vendors, stakeholders asking “why”, etc – and you’re not sure how to respond. That’s not uncommon! While you know how to select technologies, design solutions, create strategies, etc in other areas, you don’t necessarily know how to do that with an enlightened view of how we think, work, and learn. L&D is unique because it deals with learning – skills, social, informal, and more. And your school experience is not a good guide. How do you cope? Learning science on tap!

Let me offer this solution, specifically Clark Quinn, Ph.D., on tap. There are reasons why: I’ve been recognized for my depth of knowledge and breadth of experience in translating learning science into practical terms. That includes writing books, keynoting, awards, and, of course, consulting.  I’ve applied that background for literally decades in the design of solutions: games, mobile, strategy, processes, policies, and more. So, that’s available. For instance, you could send me something that needs a learning science perspective – an RFP, a memo, an organizational initiative, and I’ll break it down from a learning science perspective, and provide you with same. Or we can talk on a call. What’s more, as I’m wont to do, I’ll provide the underlying thinking. That is, you learn as you go, too! (Just how I roll.)

Of course, you don’t have to take my advice. You’ll have it, and can factor it into your thinking. And, I can adapt my thinking to specific constraints. I am known to come up with better ideas than had been proposed initially. But it’s up to you. I’ll give you my feedback, and you can do with it as you will. This service is for those that can’t come up with that advice on their own, and it’s an important perspective. What I’ll suggest as recommendations will be grounded in evidence-based approaches. I’ll research anything I need to know and don’t (no extra charge), so I learn too. But I have been involved in thinking at most levels and areas of an organization, in a multitude of roles. 

I won’t be an employee (nor want to become one). And, I’m not generating new things (that’s a different engagement, we can talk about it), but I’ll review and opine, to your needs. So, I won’t write an RFP or a whitepaper for you; I won’t design a learning experience; nor will I read an article and summarize it for you. Those’d be different engagements. But I’ll review an RFP or whitepaper (incoming or outgoing) for the necessary learning science. I will review the rules and practices around such a design.  If someone sends you an article and asks your opinion, I’ll give you the perspective on that. In particular, I’ll help evaluate any claims that you’re faced with, again either coming from inside or outside.

In short, I’m your learning science advisor. Anything you need. Of course you’ll also get any other thoughts my experience provides: how to deal with issues or people, possible solutions, and more. Comes with the territory.

I also know to respect confidentiality. Heck, my IP has been used to train LLMs, and that doesn’t sit well with me. I will also likely want to write up any learning I attain. I can anonymize it or profile you, your choice. Obviously, I won’t share anything proprietary. And my advice is yours, and you can choose to acknowledge me or keep my participation out of it; I really don’t care. 

I’ve, over time, learned to be efficient. One of the benefits of knowing how our minds work is that I know what we’re not good at, and have developed practices to ensure that I don’t fall down on commitments. I have my own project management approach, which, coupled with my natural “just do it” inclination, means that you won’t be waiting weeks for a response. I’ll commit to 48 hours max on anything less than ebook length, and as folks who are using me in other ways (*cough* LDA and Elevator 9 *cough*) will tell you, I tend to do things in a matter of hours if it’s not too long. 

So, what would such an engagement entail? I’d like to keep it simple and fair. I reckon there’s anywhere from 3 to 10 such things a month. Some will be short, some will be longer. Some months more, some less. My initial ask is $1K per month, and an initial $500 retainer (just to make sure payment systems work, and that’ll cover a call to set the context). If you want to sign up for a year, it’s $10K (9999.99 if necessary to stay under a cutoff ;). Either of us can terminate at any time; in the case of a year purchase, I’ll prorate. What I do for you is yours, what I know and learn is mine. I’ll prod you weekly to remind you to take advantage, and you don’t have to. (Heck, you can always think of it as supporting your friendly neighborhood research translator!)

This may not be you, but if it is, think through the tradeoffs. No overhead – taxes, benefits, etc – the cost is the cost. What you get is yours and your department’s. It’s an investment in learning, for that matter, because you will have the opportunity to improve your understanding as we go. My goal in this (and every) engagement is to remove the need for me in the loop, and learning about learning isn’t just for those developing learning, it’s a good practice for everyone. It’s even a competitive advantage.

Oh, one other thing. I reckon, what with my other commitments, I can only take on 10 such relationships. So, first come, first served. Learning science on tap. Your move! You can reach out here.

We now return you to your regularly scheduled day, already in progress.

In the reality stakes, I recognize that people aren’t likely to throw their whole approach out. Instead, they make the small changes with big impact. Then, of course, they should use success to leverage the opportunity to do more. You can bring in a full evaluation of everything you do by the latest fad, but those tend to be expensive and out of date by the time they’re done.  Wherever you are, there’s room for improvement. How do you get there? By understanding how we think, work, and learn.

So, one of the things I’ve done, repeatedly across clients, is look at what they’re doing (including outputs and process). I have tended to do this in a lightweight approach, because I know most folks are sensitive to costs, and want to get the biggest bang for the buck. I’ve done so for content, for design practices, for market opportunities, and more.

To do so means I go through materials, whether products, processes, or plans, to understand the experience and look for ways to improve it. Then, we prioritize those potential opportunities. I then bring my independent observations together for a discussion on what’s useful and necessary. Of course, we always find things that don’t meet those criteria. My concluding reports typically state the goals, the current context, the applicable principles, and recommendations. I’m also happy to work with folks to see how it works out and what tweaks may be of use. Which isn’t every engagement, but it’s not infrequent.

One of the robust outcomes, for what it’s worth, is that folks get insights they (and I) didn’t expect! That may be because I’ve been an interdisciplinary mongrel, with interests in many things, or possibly because the cognitive foundations provide a basis to address most anything. Regardless, I’ve found opportunities to improve in pretty much all situations. These are at every level from how to implement a field to collect information to an assessment of the viability of a go-to-market strategy.

In short, looking at things from the perspective of how our brains work provides insights into ways in which we’ve violated that alignment. Further, it’s a reliable phenomena that pretty much everything we do has opportunities to improve. Sure, not all such moves will be worth the effort, or may conflict with what folks have learned to live with. Still, there’s a pretty-much guaranteed to be valuable changes that can be made. At least, that’s been my experience, and my clients.

What I’m really doing is a cognitive/learning audit. Basically, it’s about going through the cognitive processing cycle repeatedly through an experience. That experience can be the learner’s, the designer’s, purchaser’s, or more. Usually, all of the above! However, what you want to do is to minimize the barriers, and maximize the value. What’re the users goals, what’s  perceived, what’s considered, what’s processed, and what happens next.

There are benefits to having been actively investigating our minds for a number of decades now. I know the principles, I know how to apply them, and I also work in the real world. Also, perhaps against my own self-interest, I look to find ways to do it as easily and inexpensively as possible. I know organizations have limitations. Still, pretty much everyone benefits when you look for small changes with big impact. How about you?

We frequently hear that ‘perfection is the enemy of the good’. And that may well be true. However, I want to suggest that there’s another enemy that plagues us as learning experience designers. We may be trying to do good, but there are barriers. These are worthy of explicit discussion.

You also hear about the holy trinity of engineering: cheap, fast, or good; pick two. We have real world pressures that want us to do things efficiently. For instance, we have lots of claims that generative AI will allow us to generate more learning faster. Thus, we can do more with less. Which isn’t a bad thing…if what we produce is good enough. If we’re doing good, I’ll suggest, then we can worry about fast and cheap. But doing bad faster and cheaper isn’t a good thing! Which brings us to the second issue.

What is our definition of ‘good’? It appears that, too often, good is if people ‘like’ it. Which isn’t a bad thing, it’s even the first level in the Kirkpatrick-Katzell model: asking what people think of the experience. One small problem: the correlation between what people think of an experience, and it’s actual impact, is .09 (Salas, et al, 2012). That’s zero with a rounding error! What it means is that people’s evaluation of what they think of it, and the actual impact, isn’t correlated at all. It could be highly rated and not be effective, or highly rated and be effective. Etc. At core, you can’t tell by the rating.

What should be ‘good’? The general intent of a learning intervention (or any intervention, really) is to have an impact! If we’re providing learning, it should yield a new ability to ‘do’. There are a multitude of problems here. For one, we don’t evaluate performance, so how would we know if our intervention is having an impact? Have learners acquired new abilities that are persisting in the workplace and leading to the necessary organizational change? Who knows? For another, folks don’t have realistic expectations about what it takes to have an impact. We’ve devolved to a state where if we build it, it must be good. Which isn’t a sound basis for determining outcomes.

There is, of course, a perfectly good reason to evaluate people’s affective experience of the learning. If we’re designing experiences, having it be ‘hard fun’ means we’ve optimized the engagement. This is fine, but only after, we’ve established efficacy. If we’re not having a learning impact in terms of new abilities to perform, what people think about it isn’t of use.

Look, I’d prefer us to be in the situation where perfection to be the enemy of the good! That’d mean we’re actually doing good. Yet, in our industry, too often we don’t have any idea whether we are or not. We’re not measuring ‘good’, so we’re not designing for it. If we measured impact first, then experience, we could get overly focused on perfection. That’d be a good problem to have, I reckon. Right now, however, we’re only focused on fast and cheap. We won’t get ‘good’ until we insist upon it from and for ourselves. So, let’s shall we?