We make suggestions. You make decisions.
If you also succumbed to the Peloton App as a route to at-home workouts during the pandemic, perhaps you encountered this mantra, from instructor Denis Morton:
"I make suggestions. You make decisions. Make the decisions that are right for you today."
In the context of a workout, this is an acknowledgement that health should not be a forced march. Your instructor is an expert. But you are the expert on your body.
This statement comprises the entire sliver of the Venn diagram of what our Evaluation Team has in common with a Peloton instructor.
I really love this statement because it encapsulates how I view our job.
We make suggestions. You make decisions. And we want you to be empowered to make the decisions that are right for your organization at this moment in time.
What does that look like in reality? Let's dig in.
Study Recommendations
This can be a fraught part of any evaluation report.
Be honest: Have you ever received a report from any consultant that contained a list of recommendations, skimmed down the list, and had any of the following reactions?
- Um, we already do that.
- We did that 10 years ago, and here’s why we don't anymore.
- And how do we do that without an extra $100k?
- Wait, we’ve been saying that for 5 years. So they listen to you? But not us? Cool.
- And how do they propose we get around [insert barrier here]?
- What would that even look like?
These aren’t inherently a defensive knee-jerk reaction. (I mean, they can be. We're all human.) But often, they're a reaction to recommendations that feel written AT you, instead of WITH you.
This is why we rarely include a “Recommendations” section in our reports - unless they were co-constructed with our clients. Say, at a Data Party.
We don't just throw data at you and shrug. There are always Conclusions to tie the biggest ideas together with a bow. And often there are Implications to connect the dots with your program design.
But these are, at most, suggestions.
A written list of “Here’s what you should do next”? Nope. I have never, not once, in my 20-odd year career felt comfortable straight-up telling an educator: "Do _____."
There’s never a single solution to a problem. Or way to build upon a success.
The data should open eyes and lead to change - and maybe a little discomfort along the way. But it can't do that in a vacuum. When it comes to turning data into decisions, the expertise of staff needs to be directly in the mix.
We can connect the dots and suggest a direction.
You decide where to go next.
Study Design
When you start working with an evaluator, I think the expectation is that we tell you what methods to use. We’re the experts, right?
In that case, I guess I can be a bit frustrating.
Because I’m infamous for being in conversation about a project and promptly rattling off 3 totally different methods that could address the need. But we can't do all of them.
I just can't think of evaluation in terms of right and wrong. Every method has strengths. Every method has limitations. Deciding is a matter of weighing those against each other.
And you, as someone in charge of an educational experience, might weigh those factors differently than I do.
We often introduce a Methods Menu during planning, in order to outline several different methods that could work, alongside the strengths and limitations of each, in terms of:
- Types of data
- Amount of data
- Difficulty of getting that data
For me, this is a way of presenting options for study design, with our expert take on the pros and the cons.
We can suggest what we favor in that mix of options and why.
But ultimately, you need to decide how those factors weigh for you to make a decision about what’s right for your project and what you want to say about it, at the end of the day.
Data Analysis
Psych! OK, this is the area where our roles are reversed. At this phase, you may make suggestions, but we make decisions.
Analysis is where things get really technical. We are constrained by earlier decisions that determined what type of data we have. (This is why the planning stage matters so much.) We can’t magic statistics worth having into existence.
But with that said, your suggestions at this phase are still important. Stuff can change between planning stage and analysis stage. When we hear from you about analysis, it can focus where and how we look within our data.
Let’s say, at the last minute, your funder suddenly expressed that they really care about institutional change – even though they shrugged it off before. Is there any chance the analysis can address that? Or, hey, we've been wondering if there is any difference between families and adults? Or, is there a statistical test that could prove X to get VP Muckity-Muck off our back?
At a technical level, we have to make the call about whether a particular line of inquiry is right for the data we have. But within the those bounds of reality, your interests help us make the final analysis speak to you. (And your funders.)
In this case, you make the suggestions.
We make the decisions right for our data today.
Real World Example:
We've facilitated a lot of really fun Data Parties over the years. But there is one that sticks out in my memory.
This group had tackled some thorny, complex, and VERY qualitative data over the past 2 hours. I mean, I doubt there was a single number in the data that day. It was all themes and nuance and themes within nuance.
Nevertheless, this group really BYOE-ed! (BYOE = Bring Your Own Energy —Callie)
After Michelle and I packed up our toys (chart paper, markers, post-its, and data placemats), we noticed something weird.
Our session participants... hadn’t left the room.
At first, we assumed they were shooting the breeze, before heading back to desks scattered around campus. But after 10 minutes, that was pretty evidently not the case.
We sidled up a little closer and realized: It was an impromptu staff meeting. They were game-planning a bunch of specific next steps they needed to take based on of this data discussion. And, like, now.
We were floored.
Usually, a successful session gets us to some concrete suggestions on a piece of chart paper that we will synthesize in a document.
But this time, our data made some suggestions. And, by golly, those staffers were MAKING DECISIONS.
We hung back and just smiled. The torch had been passed. We completed our part. Now they were doing theirs.
Does this mindset work for you? Or does it freak you out to realize you can have this much power over the direction of your project’s evaluation?
PS – Would it be weird if I confessed to starting big a big burst of report writing by shouting "Yes Yo!" in my empty office? It would be weird, wouldn't it? Yeah, OK, I've never done that. Never.