[MUSIC]
In the first segment, we defined what a logic model is.
Then, we talked about how you'd use a logic model.
In this segment, I'd like to talk a little bit about how you actually go about
building a logic model, and I give you some examples.
I think it's the best way of showing you what the process might look like.
So let's take a look at an organization out west in the US called First Descents.
First Descents is a cancer-serving organization that tries to help people
who have been diagnosed with cancer reclaim control over their lives and
have a more positive outlook about their recovery.
They do so through a series of kayak trips,
mountain expeditions, community events.
They do all types of wild jumps with bungee chords, all kinds of external
outdoor activities aimed at empowering and making people feel good about life.
Now, this organization's a new organization.
At least when they constructed this logic model, they were only a couple years in.
And they started out with defining the kind of activities.
That was the easiest thing for them to start with.
And so, when you construct a logic model,
you don't always have to start on the left or on the right with the impact link.
Sometimes you can start with what you know which is what they actually did.
So they started by defining core activities, and then they went
to the left and said, what do we actually need to get to those imports?
And then they started defining that fact they needed the campers.
They need the staff, board, volunteers.
They needed donations, event revenue, all types of other resources that they would
need to make those activities possible.
So they had the front end of the model, the inputs, and the activities.
Then, they turn to the question, well, how do we know if we're getting an effect?
How do we know if we're having results?
Then, they went to their data, and they have been collecting a lot of information
about the outputs of their programs, and they had data on the number of campers,
the number of camps organized, the number of camp days, the number of locations,
the diversity of the campers, the number of returning versus new campers,
the number of messages exchanged on their internet boards.
All types of counts were actually present in their data, and they pulled it out and
entered it into their logic model to kind of give a sense of, well, if we do
all of these different activities, how will we know how much we're doing?
And a good logic model like this one has a connection.
If you look across, you can track from activities to those outputs for
each one of those.
There's a metric.
Now, outputs tell us how much work gets done, but
they don't tell us did the world change?
Did we affect anyone or anything?
That's where First Descents started and say, well,
we have two types of outcomes, short-term and longer term outcomes.
On the short-term side,
they want to help the people who are between the ages of 18 and 39.
That's their target group.
They want to help them build new skills, develop a new sense of confidence,
a connection, a new network.
They want to give them a sense of release and
the fact that they can operate independently without a crotch.
But longer term, they want to do something a little different.
So they defined a different group of outcomes that were a bit more long-term,
stretched out into the future.
They want to build confidence, allow people to breathe, and have a sense of
control, turning cancer victims into survivors and
people who have a sense that they can extend and control their lives.
So outcomes, they broke down I think usually into two categories,
short-term and long-term.
But then the challenge for them actually as a new organization was to simplify and
state the impact.
Here they struggle a little bit to narrow it down.
They had a number of different possible ideas about the impact,
because all of them were on the table.
They wanted to define and draw attention to this cancer population, which wasn't
getting as much attention as others, these 18 to 39-year-old population.
They wanted to change the perspective of people about cancer.
They also were interested in creating a movement of these 18 to 39-year-olds,
a national movement of people who want to fight back and
regain their independence and sense of confidence.
And finally, they had a broad goal of contributing to the broader movement
in the cancer community of reducing the impacts, the psychological and
physical impact of cancer on society.
So this model has a lot in it.
It has a lot of data in it, but in one place you can look at this and
get a pretty good sense of what this organization is trying to accomplish.
Let's take a look at another example.
Here's a museum in New York, and I'm just showing here one of their logic models.
This is a museum that has logic models for each of its different programs.
From exhibitions to outreach, they have a series of logic models.
This one is for their outreach programs, and it's El Museo del Barrio,
a museum in New York focused on Caribbean and Latin art.