As
this week covers Capitalization and Impact Assessment, I find that the concept
of assessment is the most ambiguous aspect of the topic. While numerous
readings explained that Social Impact Bonds are only paid for by the government
if the program succeeds, I felt they lacked attention to identifying what
defines “success”.
The
concept of establishing measures of success was recently discussed in my
Creating Results Oriented Programming class in Heinz. Taking the ideas from the
7th edition of “Evaluation: A Systematic Approach” by Peter H. Rossi, Mark W.
Lipset, and Howard E. Freeman, their method of developing measures of success
involves identifying the most important inputs, outputs, and outcomes of the
program, determining a metric upon which to measure them by, and finally
identifying the strengths and weaknesses of this measurement. Realizing the
strengths and weaknesses plays a key role. For example, some measurements are
quantitative and therefore easy to collect but don’t necessarily provide deep
insight, while others are qualitative and hard to collect data for but will
provide extremely meaningful insight. Overall, this method allows for easy
identification of outcome level and outcome change, which is the difference
between outcome levels at different points in time. The net program effect can
then by determined by finding the portion of an outcome change that can be
attributed uniquely to a program as opposed to the influence of some other
factor. This method is effective in identifying the success of the most useful
aspects of a program, which seems like the most logical way for SIBs to be
evaluated.
Diving
further into the idea of assigning quantitative measurements to qualitative
areas reminded me of episode 24 of the Exponential Wisdom podcast hosted by Dan
Sullivan and Peter Diamandis. In this episode, titled “Scorecards (Without A
Target, You’ll Miss It Every Time)”, they discuss the concept of using
scorecards as a benchmarking tool to objectively evaluate progress. Creating criteria
upon which to measure outcomes provides structure for evaluation, because “if
you can’t measure something, you can’t experiment and improve it.” They suggest
taking areas that are essentially qualitative in that they are experienced
emotionally and practically and quantifying them with numbers so that personal
and organizational performance and improvement is possible, mentioning
specifically that this method is particularly useful for evaluating startups
and investments because you can compare and see which are successful.
Additionally, if a program has high scores in all but one category, it shows
exactly where their focus should be for improvement. I think this would be
extremely useful for SIBs. Creating a scorecard for a specific program would identify
if the program is reaching its full potential and worthy of government funding.
Alternatively, a comprehensive scorecard would allow social programs to be
compared to other social programs, thus accomplishing the same goal by
identifying which ones are performing most effectively.
Would
developing scorecards for new social programs improve the consistency and
accuracy of impact assessment, and what kind of qualitative measurements are
most important to identify?
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