Community Indicators for Your Community

Real, lasting community change is built around knowing where you are, where you want to be, and whether your efforts are making a difference. Indicators are a necessary ingredient for sustainable change. And the process of selecting community indicators -- who chooses, how they choose, what they choose -- is as important as the data you select.

This is an archive of thoughts I had about indicators and the community indicators movement. Some of the thinking is outdated, and many of the links may have broken over time.

Showing posts with label Explaining Indicators. Show all posts
Showing posts with label Explaining Indicators. Show all posts

Friday, June 26, 2009

Are your Community Indicators making a difference?

Yesterday I led a lunchtime conversation via webinar on the question, Are your community indicators making a difference? The webinar was sponsored by the Community Indicators Consortium and was a members-only event, and I know several dozen of you were disappointed in not being able to attend. I thought I'd summarize my notes for both the attendees and those who missed the event, and continue the conversation. (Plus you ought to join CIC to not miss out on their next webinar!)


For the webinar, I'm speaking from the experience of an organization that is currently working on its 25th annual community indicators report. We've seen a generation of community leaders who have stepped into leadership roles that have always had our indicator reports there to guide them. Along the way, we've learned a little bit (through many trials and lots of errors!) about how to tell if your indicators are being effective.

I tried to organize my remarks this way:

One topic: Measuring the effectiveness of your indicators project
Two key questions: Who is your intended audience and what are your intended results?
Three meta issues: Design, Timing, and Source
Five areas to measure results

(I know there's no four. Feel free to chime in with what I missed.)

Let's jump to the two key questions: intended audience and intended results. Defining your audience is not easy work, but it is critical forthe rest of the discussion. Are you producing your indicators for elected officials? For public officials (the non-elected ones behave differently than those who need to campaign for their positions)? For community activists? For statisticians and data professionals? For chambers of commerce and business groups? For United Ways, community foundations, or other funders of non-profits? For grantwriters? For non-profit organizations and service providers? For everyday citizens? For students? For the media?

You may want everyone to use your indicators. I know the world would be a better place if everyone read and internalized every report I produce. But who is/are your primary audience?

And what do you want them to do with the indicators? Possible intended results include:
  • Inform/ educate/ raise awareness
  • Build shared priorities
  • Shape decision-making
  • Influence budget allocations
  • Define public policy
  • Inspire action
  • Demand accountability
  • Measure performance/outcomes
And there are more possibilities. Before we can deal with the big question -- are your indicators making a difference -- we have to be able to answer these two key questions -- who do you want to do what with your data.

In my organization in Jacksonville, the question of indicator effectiveness is driven by a Model of Community Improvement. It's our "theory of change" that explains why we do indicators and what we hope to accomplish with them. I'll include the model below:

Briefly, we suggest that change begins when we identify what change we want -- we create a vision for the future, based on our shared values in a community. (I know we like to think data are objective, but every indicator we include in our reports is a value judgement, as is every include we don't include. Every desired direction in a trend line is a value judgement. Go ahead and begin by articulating the values, instead of assuming implicit agreement on them.)

In order to know where we are as a community in relationship to that vision, we develop indicators. These community indicators then help us determine where we are falling short, what our priorities for action are, and inform the research, planning, and strategizing processes. The indicators themselves don't tell us what to do -- they are descriptive, not prescriptive. They do tell us where we need to do something, and we suggest that indicators be accompanied by planning processes to determine what to do about the indicators that fall short of our desired expectations.

Plans require action, which is the next step in the model. If we can act ourselves, we do so; if we need to convince others to act, then advocacy is required to get the desired actions.

Actions have consequences; the outcomes or results of those actions then need to be assessed to see if they achieved the desired results. Here is where our indicators come into play again -- are we closer to where we want to be? Based on the indicators, we can determine if we need to reshape our vision, adjust what we're measuring, or go back to the drawing board and develop new plans.

Indicators play two critical roles in our model for community change -- they identify priorities for action, and they assess the results of that action. In order to measure the effectiveness of our indicators, then, we measure how well they serve both of those functions.

This isn't the only possible theory of change, of course. Yours might be quite different. But detemining indicator effectiveness has to include some thinking about the model you're using in applying those indicators. Why are you measuring indicators? What difference do you want your community indicators to make?

That moves us from our two key questions to our three meta issues: design, timing, and source.

By design, I mean simply presenting the information so that your intended audience can use it to achieve the intended results. We don't think about design that way, I'm afraid. We look at what looks cool, what our peers are accomplishing, and what we like to see. We want to present our data in the most impactful way possible -- but many times, we're thinking about what is most impactful to us. And we tend to be different than our targeted audiences.

Elected officials, for example, tend to want the information presented clearly on one printed page in their hand when they need it. Researchers want more detail. Grantwriters need different kids of data break-outs. Regular citizens need something that's not so intimidating and doesn't make them feel like they're back in math class. Your design has to meet the needs of your audience in a way that allows and encourages them to use the information to achieve the desired outcomes. (On the webinar, I shared a quick succession of a series of indicator reports, both print and web-based, to show the wide variety out there. If you've been reading this blog, you've seen the examples and many more. Not every report needs to look alike -- but to work, they have to meet the intended audience where they are!)

By timing, I mean three things: time of year, update frequency, and data relevancy. The report needs to coincide with the decision cycles it hopes to influence, and the information in it needs to be current enough to influence action. For example, one of our intended audiences is our local United Way's resource allocation team. They need the information in our report to inform their decisions in allocating money to different programs. The report needs to be available before they meet, but not too far before they meet because the information in the report needs to be as current as possible. They make decisions on an annual basis, so to institutionalize the indicators in the decision-making cycle the indicators need to be updated annually. If your indicators are out of sync with your intended audience, they won't be used to achieve your intended results -- they become an interesting curiosity, not a decision necessity.

By source, I'm talking about who you are as an organization. When you publish your indicator report, is it seen as trusted information from a trusted place? Take a moment for some painful introspection. In general, data from advocacy organizations are not trusted by people without a shared belief in the cause. If your mission is to tell people to put children first, and you issue a report with indicators in it that say children should come first, your organization values will cloud the usefulness of that data. Your indicators will not be used by people who don't already believe children should come first.

How open and transparent is your indicator selection process? Who determines which indicators are chosen? Does the community know why you're measuring what you do? How open and transparent is your data review process?

Sometimes we have to choose our role in the community. It is remarkably difficult to be the trusted neutral source for information AND the community advocate for a single position. It almost never works to try to be both.

Once we have dealt with these issues, we can look at how we measure ourselves and the effectiveness of our indicators. There are at least five different areas in which we can look at effectiveness:
  • Explicit use of indicators in information sharing. By this I mean the number of times your indicators are used by other people (media, public officials, other organizations, your intended audience) in talking about the issue. For example, we have been able to track not just the media coverage of our report releases, but the way the indicators have been used over the course of a year to talk about issues, to justify positions, or to advocate for a cause. If the intended result is to raise awareness, you can track how the indicators are being used for that purpose and how often your reported is cited, linked to, or quoted.
  • Explicit use of indicators in decision-making. We find in whereas clauses and in public debates the use of our indicators in making key decisions. Sometimes we are asked to present the data to a decision-making body. Sometimes the indicators are cited in justifying decisions. Sometimes people will come to us and thank us for having the indicators available which helped them prevail in a political decision or in receiving a grant. If your intended result is to influence decision-making, track these. We also survey our intended audience and ask them about how they have used the indicators in their decision-making.
  • Institutionalization of indicators in decision-making. This is where the process of making decisions are built with the data report in mind. This is an important outcome we work towards. This can include policy and budget decision-making, but it can embrace many other things. Our local Leadership Jacksonville program builds its curricula for its four leadership programs with our indicators in mind -- all participants receive a copy of the report, and they are encouraged to use the indicators to better understand the community. Think about who you want to use the indicators, and in what fashion, and then help them design their processes with the indicators as a fundamental/necessary piece of that process. Remember the issue of timing!
  • Cross-disciplinary/cross-institutional priority-setting and collaboration around identified issues. Your indicators can help set the community agenda. What priorities have you identified? Who has embraced those priorities? More importantly, who has stepped out of their silo or comfort zone to step up to a shared community priority identified by your indicators? In our case, we pay attention when the indicators are used by our Chamber or Mayor to tackle an issue that's not traditionally their focus or responsibility, or when multiple groups join together in a common cause identified by the indicators. That's a desired result, and we note that activity.
  • Improvements in the indicators themselves. Your measure indicators that you want to improve. They're important, or else you wouldn't measure them. Our model for community improvement demands that we pay attention to what the indicators are telling us -- are we moving closer to the desired goals? If none of your indicators are getting better over an extended period of time, then your report isn't being effective in motivating change.
That's a summary of what we talked about in the webinar. I'm interested in your comments and suggestions to continue to conversation.







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Sunday, June 29, 2008

Community Health Profiles and Indicator Guides in England

I thought you might be interested in seeing the work done by the Association of Public Health Observatories in creating Health Profiles for every local council in England. One of the highlights of the site is their work on a Good Indicators Guide. I'll talk about the profiles first, and then the guide.

From the site:

Health Profiles provide a snapshot of health for each local council in England using key health indicators, which enables comparison locally, regionally and over time. They are designed to help local councils and the NHS decide where to target resources to tackle health inequalities in their local area.

To view an interactive version of the Health Profiles for England click to view an interactive map. This will allow you to select indicators and areas for comparison through a map or list.

The maps are provided at a regional, county, or district level. They also provide PDF versions of the profiles, which they point out may differ from the interactive maps.

The maps are straightforward and simple to use, and the data provided a decent sampling of information. Not being from England, I would have liked more contextual data to understand some of the demographics better. But tossing in some of the social determinant information and other extra bits of information was interesting -- carbon emissions in a health profile? Neat.

The Good Indicators Guide has a great Forward.

As leaders, we have a responsibility to know the essential data and information better than anyone else. We need our teams and organisations to be able to capture, interpret and communicate the essence of any situation in order to make the right decisions at the right time. The indicators we use and choose therefore need to be carefully designed to be practical, complete, valid and robust so we can concentrate on those areas that need further investigation. In short, we need to sort the wheat from the chaff in the information overload world we now live in. This short guide focuses on the key principles behind developing, understanding and using indicators. It is designed to be an essential and readable guide to those in senior positions who may not always feel entirely comfortable with this important area in healthcare leadership.

That same clarity and succinctness is found in sentences like "[W]e all love indicators when they seem to summarise and bring summary/simplicity, but not when they judge us, or something dear to us." The guide dives into "the anatomy of an indicator" and "four things to know about indicators." It's a must-have for anyone working with indicators -- and it's free to download!

Check it out!

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Friday, September 21, 2007

Microtrends: The Small Forces Behind Tomorrow's Big Changes

This is less a book review of Microtrends: The Small Forces Behind Tomorrow's Big Changes than it is a review of reviews of the book (you do that, don't you -- read a bunch of different reviewers opine all around a book before reading it?)

In this case, the book seems too interesting to ignore. It is, essentially, a trend analysis of 70+ indicators. If this begins a trend in itself, indicators practitioners could dominate the bestseller lists. How cool would that be?

Information Week is excited about the book's authors, Mark Penn and E. Kinney Zalesne, seem to validate the nerd -- IT folks are the new cool, and those who are reluctant to adopt technology are the new introverted social misfits.

Reuters wants to make sure we notice the similarities between this book and Malcolm Gladwell's The Tipping Point: How Little Things Can Make a Big Difference -- both books say little things can have big impacts.

The New York Times and the Wall Street Journal have perhaps the most interesting, and adversarial, reviews. (Why adversarial? Mark Penn is Senator Hillary Clinton's campaign advisor, a point both reviewers seem to get stuck on. More about that later.)

The Times (Hary Hurt III reviewing) explains why indicator folks should care about the book:

The thesis of Mr. Penn’s book is that “you can’t understand the world anymore only in terms of ‘megatrends,’ or universal experience. In today’s splintered society, if you want to operate successfully, you have to understand the intense identity groups that are growing and moving, fast and furious, in crisscrossing directions.” In the United States, he notes, these society-changing “microtrends” can involve as few as three million people, about 1 percent of the population.

So how does Mr. Penn identify the 75 most important microtrends of the current age? By numbers, largely those obtained through polls and surveys.

“Americans claim to be a ‘gut’ nation — which is kind of a bodily term for what we roughly term our ‘values,’ ” he declares. But according to Mr. Penn, the advice we get from our guts is “lousy” most of the time because it is inexact and often contrary to statistically determined facts. Numbers, he believes, do not lie. ‘‘Numbers will almost always take you where you want to go if you know how to read them,” he maintains.


So far, so good, right? But wait, says the Journal (Sam Schulman on the Opinion page.) It's not that figures lie, but liars figure. From the article:

In his quest to find microtrends, Mr. Penn also seems to miss the forest for the trees. He marvels at a society that is fundamentally older, yet working more. But the increasing age of our society is driven by improvements in health. Besides having access to better medicine, many have also given up tobacco, and we have the blessing of technology that has made much work not a physical activity that wears us out but a mental activity that can be performed much later in life, extending our usefulness and earning power.

The falling birth rate is also in part a function of our burgeoning information economy. If we don't physically wear ourselves down, we don't need to people our family with slightly younger versions of ourselves who can take care of us when our backs give out in our 30s. Childbearing becomes a matter of taste rather than necessity, and we are healthy enough to have children at much older ages, leisured enough to observe them at play (at sports where all can participate, not just an elite nine or 11 team members) or have pets instead--all "microtrends" Mr. Penn marvels at.


Why such different views? For the Times, it's a chance to make the point that the Republican Party is doomed; for the Journal, a chance to argue in favor of free markets and an opportunity to sneak in an attack on Senator Clinton. Despite the petty partisan bickering, the reviewers encourage me to read the book, with these thoughts in mind:

  • Small-scale indicators can have large impacts, so we ought to pay attention to a number of trends.
  • Small-scale indicators are in themselves influenced by larger trends, so we ought to pay attention to those as well.
  • Indicator analysis could be the new Harry Potter. (OK, maybe not. But a guy can dream ...)

P.S. The Wall Street Journal opinion piece is also worth reading for its history of the word "trend". Kind of fun trivia to toss out at parties when it looks like people are having too much fun.

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Friday, March 30, 2007

Data Everywhere

In early March, USA TODAY ran a story about John Gantz, a tech analyst, who calculated that 161 exabytes of digital data (161 billion gigabytes) were generated in 2006.

Here's what they say that means:

What is 161 exabytes?
161 Exabytes of digital data was generated in 2006, says researcher IDC. That's about 168 million terabytes, or roughly the equivalent of:
36 billion digital movies
43 trillion digital songs
1 million digital copies of every book in the Library of Congress
Source: IDC, UC Berkeley, USA TODAY research

Per person
About 213 gigabytes of information was generated for each person in North America in 2006.
Source: IDC, CIA World Factbook, USA TODAY research

Who generates the most data?
Digital data production, by regions, in 2006:
North America: 41%
Western Europe: 32%
Asia Pacific: 22%
Rest of world: 5%
Source: IDC


161 exabytes is 185,620,362,241,702,000,000 bytes, approximately. That number is big. There are an estimated 100,000,000,000 (100 billion) stars in our galaxy. If we take that number as typical, if bytes were stars 161 exabytes would fill nearly two billion galaxies.

That's big.

What does this have to do with indicators? Here's a lesson I learned from Ken Jones at the Green Mountain Institute for Environmental Democracy:

In the night sky, on a clear day in the country, we can see millions, if not billions, of stars. The sky might look something like this:


Beautiful. Awe-inspiring. But too much to take in.

Until someone connected just a few of the dots to draw a picture. You may have recognized this picture already.


By putting together a series of data points into a constellation, we (or rather the ancient Greeks did) create a sense of order and can begin to tell a story. This constellation is, of course, Orion. And once we begin to tell that story, we can add meaning to those data points.


(For more about the story of Orion, click here.) After someone connects the dots for us and tells us the story of Orion, we then can see it for ourselves every time we look at the night sky:


And that's what big numbers and Greek myths have to do with the importance of community indicator systems. Good indicator sets pull together a set of data points, connect them in a meaningful fashion, and turn them into a story to move the community to action.

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